The 4th LISAT Symposium Program Book

The 4th International Symposium on LISAT 2017revisit frequency, to provide enhanced continuity of multi-spectral imagery, and toprovide observations for the next generation of operational products such as land-cover maps, land change detection maps, and geophysical variables. Actualvegetation index produced by field measurement. Rice crop reflectance datameasured with spectrometer tool from a height of 1 meter from leaf canopy.Wavelengths used from 350-2500 nm with a spectral resolution of 1 nm. Analgorithm will be developed to recognize the pattern of vegetation index producedby satellite imagery.AGR-004Impact of ENSO in East Java Paddy Cropping Pattern Change Based on MODISImagery. Alvin Fatikhunnada*, Liyantono, Mohamad Solahudin, Agus Buono,Kudang Boro Seminar (Bogor Agricultural University; [email protected])Paddy cropping pattern in Java Island varies by the irrigation and rain distribution.Some of which also depends on the water schedule from nears reservoir.Meanwhile, the cropping pattern and dynamic changes of paddy field have to bemonitored to support a sustainable agriculture in paddy cultivation. Monitoring ofpaddy cropping pattern can be done using both direct observation and remotesensing method. This research used MODIS imagery to monitor the vegetationdynamic based on the vegetation index provide by MODIS TERA satellite. Weinvestigate the impact of climate represented by ENSO index to the pattern changesin East Java paddy field. A Spatio-temporal analysis was employed in annual time-series and used as a comparison of annual pattern changes. In this research, weused wavelet transform to reduce the noise of temporal data. The patternclassification based on k-mean clustering was conducted to provide the generalpattern annually. The analysis of annual pattern changes was employed based onground check data in 2016. The annual changes from that data show that impact ofENSO index found in some places. But the results found that ENSO index was notthe main factor. The other factor such as the government policy, the marketdemand, and unpredicted pattern from their cultivation behavior. From thisresearch, we can calculate the annual changing area and describe the distributionof the annual change.AGR-005Evaluation of El-Niño Impact To Rice Productivity in Indramayu Regency Based onAPSIM-Oryza Output. Anria*, Rizaldi Boer, Akhmad Faqih (Bogor AgriculturalUniversity; [email protected])Climate variability, specifically El-Niño, strongly related to the decreasing of watersupply and has negative impact to rice production. This study aimed to identify El-Niño event and evaluate its impact to rice productivity in Indramayu Regency basedon Agricultural Production System Simulator (APSIM)-oryza output. APSIM-oryzathat has been parameterized and validated able to give satisfactory result. Wefound that reduction of rice yield in Indramayu regency were significantly occurredduring El-Niño years, specifically during moderate to strong El-Niño condition in1992/1993, 1997/1998 and 2002/2003. This conditions were clearly show by theoutput of APSIM-oryza simulation, confirmed by similar patterns of negative Program Book 49

The 4th International Symposium on LISAT 2017anomaly of rainfall and negative anomaly of rice productivity. Based on APSIM-oryza simulation, rice yield reduction during El-Niño event in rain-fed rice field weregreater than irrigated rice field since it really dependent to rainfall for its watersupply.AGR-006Soil physics distribution map in different scales based on Soil-landscape TransferModels in East Java (Malang, Lumajang, Jember and Banyuwangi). Baba Barus*,Arief Hartono, Suria Darma Tarigan, Akmad Faqih, La Ode Syamsul Iman, ReniKusumo Tejo, Dede Sulaeman, Desi Nadalia Purnama (Bogor Agricultural University;[email protected])The soil characteristics data consist of physics and soil chemistry data. One of soilphysics data is texture. Usually the availability of soil physics data is obtainedthrough field soil sampling and soil sample laboratory analysis. The aim of this studyis to create a soil physics distribution map through modeling approach using existingsoils data and then integrating it into a model, it’s expected to provide quicker datawith acceptable accuracy. Some research indicates this mapping is influenced bydata pixel size. The modeling process has advantage over conventional thatconsume much time and relatively expensive. The soil-landscape transfer modelsusing soil physics (texture) as response variables and topographic factors based onfield observations, such as slope position, shape of slope, length of slope, slope andelevation as free variables. The model derived from statistical analysis using linearregression. The result of statistical analysis is presented in a spatial format as a soilphysics distribution map with different pixel values. Mapping with different pixelvalues or different scale provide different accuracy, although the map derive fromthe same statistical model.AGR-007Modelling Landscape Change in Paddy Fields Using Logistic Regression and GISUsing Pleaides Imagery. Eduwin Eko Franjaya*, Syartinilia, Yudi Setiawan (BogorAgricultural University; [email protected])Green space is needed to maintain the availability of land as a water catchmentarea, creating aspects of urban planning through a balance between the naturalenvironment and the built environment that are useful for the public interest. Localgovernments have to map their green zones and monitor the changes of greenspace in the zone. Utilization of medium and high resolution satellite data havebeen used to identify and monitor green space. This paper explains the utilizationof high resolution Pleaides imagery for mapping vegetation type and estimate thevegetation cover percentage in the green zone. Vegetation cover as indicatorof green space was identified using combination of NDVI and blue band. Vegetationtypes in the green space were classified into three classes: low-medium vegetation,medium-high vegetation and sparse vegetation using unsupervised and supervisedclassification methods. The area of vegetation types was calculated to estimate thevegetation cover percentage inside the green zone. Classification accuracy ofunsupervised and supervised methods scored respectively 97% and 98%.Furthermore, this method can be used for quick estimation to produce acurate Program Book 50

The 4th International Symposium on LISAT 2017information of vegetation cover percentage in the green zone, thus helping localgovernments to manage the green spaces in their regions.AGR-008Impact of Spatial Plan on The Conversion of Subak Rice Fields and food security,in Badung and Gianyar regencies, Bali Province. Indayati Lanya*, N. NeteraSubaduyasa, Hutauruk Jeremia (Udayana University, Indonesia;[email protected])Regional Spatial Plan (RSP) of Bali Province 2009-2029, allocating rice fields can beconverted 10) in 2050 [1]. Research location in Badung and Gianyar Regency. Multi-analytical research methods: visual image interpretation, field survey, digitizationof on-screen delineation of subak rice field, super impose analysis of thematic maps,toolbox - analysis tools -overlay -intersect. Materials and tools: Quick Bird satelliteimages 2013, spatial map, shp data, thematic maps, and QGIS software 10.3. InRTRW Bali, rice fields are allowed to be converted in the area and access to tourism.Rice fields in Badung are within the area of food agriculture 6,328.08 ha (protected)and outside the area 3,324.97 ha (34.45 conversion). Badung lost 3 subak andGianyar 2 subak, a negative impact on food security in Badung decreased 9,974 tonsof rice and in Gianyar decreased 20,126 tons of rice every harvest. Spatial mappingof the area of sustainable food agriculture based on the characteristics of the regionfor the control of land use change and recommendation of RSP map in the future.AGR-009Spatial Analysis to Determine Agricultural Land Use/Cover Changes in Indonesia:A Case Study of Karawang Suburban Areas of Jakarta. Nadia Putri Utami*, TofaelAhamed (University of Tsukuba, Tsukuba Japan; [email protected]).Food self-sufficiency is defined as dependency on domestic production to meetconsumption needs of country’s population (Pinstrup-Andersen, 2009). Prior topromote rice self-sufficiency, Indonesia has made a target on paddy production upto 82 million ton in 2019. West Java is targeted to produce 13 million ton of paddy,equal to 15.85 of total area is intended for agricultural land. Beside known as thesecond largest rice-producing region in West Java, Karawang has experienced rapidagricultural land use/cover changes mainly due to urban and industrial expansionsfrom Greater Jakarta. Therefore, it is important to analyze agriculture landuse/cover changes in Karawang regency (2000-2016) and secure agricultural landsthat have potential contribution of agricultural production. This study used Landsat4-5 TM and Landsat 8 OLI/TIRS images acquired from USGS Earth Explorer, UTMzone 48S. Satellite image pre-processing, ground truth data collection, andsupervised maximum likelihood classifications were performed in ArcGIS 10.3®(ESRI, USA). The land use/cover map was classified into nine major classes (forestcover, mixed garden, paddy field, upland agriculture, shrub land, fallow land,aquaculture use, water body, urban settlements). Multiple accuracy assessments inthe form of confusion matrix were used to measure classification accuracy bycomparing land use/cover types with ground truth reference points. Prior to changedetection analysis, post-classification comparison (PCC) was used to identify Program Book 51

The 4th International Symposium on LISAT 2017differences between two independently produced classified land use/cover images(Singh, 1989). The result showed that between 2000 and 2016, urban area hadincreased 4.46 (6091 ha) from initial area of 115,720 ha to 109,629 ha in 2016.According to the change detection analysis, a rapid agricultural land cover changeswere observed in the central part of the Karawang areas. The spatial analysisshowed that paddy fields in the fringe of urban area are more susceptible forchange.Human activities are the major driving forces of the agricultural landsuse/cover change. As the cities expanded, agricultural lands and rural areas areconverted to urban areas. Land protection and utilization is considered as one ofthe solutions to protect agricultural land use changes on high productive paddyfield. In further research, logistics regression will be conducted to understand theinfluencing factors on agricultural land use/cover changes. The developed modelcould help in planning of agricultural lands in the suburban areas of metropolitancities to promote food self-sufficiency and sustainable growth of industries.AGR-011Integration of Logistic Regression And Multicriteria Land Evaluation To SimulationEstablishment of Sustainable Paddy Field Zone In Indramyu Regency, West JavaProvince, Indonesia. Irmadi Nahib*, Jaka Suryanta, Niedyawati, Dewayany, PriyadiKardono (Geospatial Information Agency; [email protected]).Indramayu Regency is one of regency wich the center of rice production in WestJava. The agricultural sector accounted for 43% of the total Gross Regional DomesticProduct (GRDP) of Indramayu Regency. In 2011, the production of paddy field was1.704 million tons which was generated from 239,465 Ha paddy area, withproductivity of 71.20 quintal per hectare. In order to accelerate the achievement offood self-sufficiency from the Ministry of Agriculture with the target of productionof 1.718 million tons of dry grain harvesting, the period 2016-2021, self-sufficiencyis pursued through the optimization of special efforts : rice, soybean and corn. Thisresearch was conducted to develop a sustainable paddy field zone delineationmodel using logistic regression and multicriteria land evaluation in IndramayuDistrict. Modeling is built on the characteristics of local function transfer byconsidering the concept of sustainable development. The dependent variable(Predictor, Y) binary logistic regression expressed as 0 and 1, where 1 revealchanged and 0 is not changed. The independent variables used are: distance fromthe road (X1), distance from settlement (X2), distance from rivers (X3), distancefrom the capital sub district (X4), type of paddy field (X5), productivity of paddyfields (X6), price of paddy field (X7), intensity of harvesting of paddy fields (X8),population density (X9) and suitability of paddy fields (X10). This model was builtupon the occurrence of paddy field in between 1990 and 2015. Equation of thepaddy field changes models obtained were: logit (paddy field coversion) = -2.3048 -0.0032* X1 - 0.0027 X2 + 0.0081 X3 + 0.0025 X4 +0.0026 X5 +0.0128 X6 – 0.0093 X7+ 0.0032 X8 +0.0071 X9 – 0.0046 X10 with a value of Relative OperatingCharacteristics (ROC) of 0.8162. Result of Logistic regression are used as a weightfor multicriteria land evaluation. Resulting in three scenarios of paddy fieldsprotection policy, which are standard, protective, and permissive. The result of this Program Book 52

The 4th International Symposium on LISAT 2017modeling, we obtain the priority paddy fields for the protected as well as becomebuffer zones for the surrounding paddy fields.AGR-012Mapping of Evaluation of land suitability for food crops in Bangli regency–BaliMade Sri Sumarniasih*, Made Antara (Udayana University; [email protected]).The research was conducted in Bangli Regency, Province of Bali with the objectivesare: (1) evaluating land suitability for food crops, (2) identifying factors that becomeobstacles and direction of land management, (3) mapping the result of landsuitability evaluation. The method used is survey to field to know land characteristicand soil analysis in laboratory. The soil sample is taken based on the land unit map,one unit of land is represented by one sample so that there are 30 samples.Subsequent soil samples were analyzed in Soil and Environmental laboratory ofAgriculture Faculty, University of Udayana to know the physical and chemicalproperties of the soil. The results of laboratory analysis and field observations werethen matched with growing requirements for food crops using criteria from the SoilResearch Institute. Based on the evaluation of land suitability for food crops, it isknown that the land suitability class is sufficiently suitable (S2), in accordance withconditional (S3) with erosion limiting factor (e). Land management that needs to bedone is to prevent erosion with land management technology in harmony with thebiophysical characteristics of the land concerned, in accordance with soil and waterconservation principles that is with terracing, increasing land cover, and addition oforganic matter.AGR-013Productivity and Land Equivalent Ratio on the Different Dose of PotassiumFertilizer and Husk Ash in The Soybean-Corn Intercropping Under Saturated SoilCulture on Tidal Swamp. Munif Ghulamahdi*, Regi Agustian, Iskandar Lubis,Murdianto, Paul Taylor (Bogor Agricultural University, Indonesia;[email protected]).Saturated soil culture (SSC) is a cultivation technology that gives continuousirrigation and maintains water depth constantly and makes soil layer in saturatedcondition. This technology is appropriate to prevent pyrite oxidation on tidal swampand has been proved to increase the soybean productivity on tidalswamp.Intercropping soybean-corn on the saturated soil culture technology willincrease input efficiency and farmer income in the cultivation system. Theexperiment was conducted at Mulyasari Village, Tanjung Lago Sub District,Banyuasin District, South Sumatera Province (11 feet above sea level, 2°38'42.35\"South Latitude, and 104°45'5.92\" East Longitude), from May to September. Theexperiment used a randomize complete block design with 2 factors, threereplications. The first factor is potassium dose, consisted of : 0, 30, 60, and 90 kgK2O ha-1. The second factor is husk ash, consisted of : without husk ash , and 1 tonha-1 husk ash. The calculation of land equivalent ratio (LER) will be made withcomparing intercropping to the monoculture of soybean and corn with treatmentpotassium: 0 , 30, 60, and 90 kg K2O ha-1, on without husk ash and plus husk ash Program Book 53

The 4th International Symposium on LISAT 2017.The result showed that the higher productivity of soybean and corn were obtainedon 90 kg K2O ha-1 with application husk ash. In this fertilizer combination on theintercropping, the productivity of corn and soybean were 7.24 ton ha-1and 1.85 tonha-1, but on the monoculture the productivity of corn and soybean were 8.53 tonha-1 and 3.39 ton ha-1. The land equivalent ratio of intercropping was obtained >1, with range 1.37-1.49. This means that intercropping system increased landefficiency.AGR-014Evaluation of Urban Sprawl and Its Related Policy in South Tangerang City, Banten.Khalid Saifullah*, Baba Barus, Ernan Rustiadi (Bogor Agricultural University;[email protected]).This paper serves as an extension of the preceding paper by Saifullah et.al (2017)which has revealed the rapid and vast extent of land use/cover change (LUCC) inSouth Tangerang City as a result of Jabodetabek peri-urban expansion. The mainfocus of this paper now turns to urban sprawl as a more specific issue that considersthe ratio between the annual growth rate of built-up area and population based onthe exponential growth model. This sprawl index ratio has been developed withregard to the inefficient urban land use and the excessive nature of new towndevelopment projects dominated by private developers in South Tangerang during1990-2014. In general, urban sprawl in this city has a random spatial pattern basedon the Global Moran’s I spatial autocorrelation test, with the average sprawl indexof 1,89 per sub-district (kelurahan). The random pattern has also been indicated bythe strong sprawl index occurred in sub-districts with high and low built-up areagrowth rate (i.e., Pondok Jaya as Bintaro Jaya CBD and Kranggan as a less developedsub-district). The sprawl index distribution also shows that sub-districts with highbuilt-up area growth rate do not always correlate with strong sprawl index. As acomplement to urban sprawl discussion, this paper used GIS overlay method tocombine the sprawl distribution map, the LANDSAT land cover map of 2014, andRTRW (spatial plan) maps to identify the available land (non-built-up area) allowedto be developed, and to plan the urban sprawl control priority area. This paper hasbeen concluded with the descriptive comparison of anti-sprawl related policyreferences to evaluate the shortcomings of the existing spatial plan.AGR-015GIS and Multicriteria Evaluation for Delineating Land Suitability and LandAvailability for Teak (Tectona Grandis L.F.) In Gunung Kidul Regency, Yogyakarta,Indonesia. Widiatmaka*, Eko Wahyudi Budi Utomo, Untung Sudadi, WiwinAmbarwulan (Bogor Agricultural University; [email protected]).Teak is plant resulting wood with high economic value. This plant is widelycultivated in Gunungkidul Regency, Yogyakarta, Indonesia. Due to its long life resultobtained, land which will be used for this plant should be selected only on land withhigh land suitability. This research was conducted with the objectives to delineatethe suitable and available land for the cultivation of teak plants. The methodologyused includes 3 (three) steps: (i) delineation of land use/land cover, (ii) multi-criteria Program Book 54

The 4th International Symposium on LISAT 2017evaluation for determining the level of land suitability for teak, and (iii) delineationof suitable and available land for teak. Land use/land cover was analyzed usingSPOT-6 imagery of 2015, followed by field checks. Land suitability was analyzed byparameter weighting using an analytical hierarchy process using soil propertiesparameters which were the result of laboratory analysis, which are integrated withland, climate and topographic parameters. Available land is analyzed by integratingthe official spatial land use plan of the region. Result of research indicate thatGunungkidul Regency has high enough potency for teak development that is 55,627ha. Development priorities are organized according to land suitability and landavailability.AGR-016The Sustainability of Paddy Field Land Use in Subang Regency, West Java, asAnalyzed Using Multi-Dimensional Scalling Approach. Widiatmaka*, WiwinAmbarwulan, Irman Firmansyah, Paulus B.K. Santoso, Muhamad Hikmat, SupiandiSabiham (Bogor Agricultural University; [email protected]).The provision of Indonesian staple food is still actually highly dependent on paddyfields in the Java Island. Actually, more than 50% of national rice production comesfrom paddy field in the island of Java, an island which area constitute less than 7%of Indonesian territory. There are high pressure on paddy field land utilization inJava Island. The objective of the study was to analyze the sustainability of the landutilization for paddy fields in Subang Regency, one of the Javanese center ofproduction. The methodology used was sustainability analysis usingmultidimensional scaling (MDS) analysis, followed by a prospective analysis. Theattributes analyzed include the attributes belonging to the ecological, economical,social, infrastructure and technology as well as legal and institutional dimensions.The data used come from the result of field survey, focus group discussion as wellas secondary data. The results showed that land utilization for paddy fields inSubang Regency was actually less sustainable. Increasing the sustainability can bedone through intervention on performance of several sensitive attribute resultingfrom leverage analysis. Several priority policies were established according to thekey factors resulting from prospective analysis.AGR-017Using Remote Sensing and Land Capability Data for Evaluating Land Utilizationand Official Land Use Planning in Indramayu Regency, West Java, Indonesia.Wiwin Ambarwulan*, Widiatmaka, Irmadi Nahib (Bogor Agricultural University;[email protected]).In Indonesia, land utilization is regulated in an official spatial land use planning,stipulated by government regulations. Spatial pattern in official land use planningcan be improved within a certain period to adjust with existing environmentalchange. Even it is regulated, in fact, land utilizations are often develops inconsistentwith regulations. This study aims to delineate current land utilizations in IndramayuRegency, West Java, Indonesia, and to evaluate current land use in order to providedirection for land utilizations improvement in official spatial land use planning. The Program Book 55

The 4th International Symposium on LISAT 2017methodology used is the integrated use of land use and land cover data, landcapability data and spatial pattern in official spatial land use planning data. Actualland use and land cover are interpreted using SPOT-6 imagery of 2015. A supervisedinterpretation and field checking were done for this purpose. The spatial data ofland capabilities are derived from land capability classification using field data andlaboratory analysis of land units at a 1: 50,000 soil map. Spatial pattern of officialspatial land use planning is obtained from the government of Indramayu regency.The confrontation between these spatial data is interpreted in terms of futuredirection for land use planning. The results of the research showed that Indramayuregency consists of 8 types of land use/land cover, with paddy fields being thelargest land use, followed by ponds and built land. Indramayu Regency has landcapability ranging from Class II to Class VIII. The integrated analysis shows that 33%of the Indramayu area has actually been planned following its land capability, whilein 65% of the area, spatial pattern of official spatial land use plan should be adjustedin order to be conform with its land carrying capacity.AGR-018The Sustainability of Land Utilizations For Paddy Field in Indramayu Regency, WestJava, Indonesia. Wiwin Ambarwulan*, Widiatmaka, Bambang Riadi(Bogor Agricultural University, Indonesia; [email protected]).Indramayu Regency is one of the rice production centers in Java Island, while JavaIsland itself is the main island providing the large part (50%) of the rice needs forIndonesia. Rice is the staple food for more than 95% of Indonesia's population,therefore, the sustainability of the existence of paddy fields in this region is veryimportant for national food security. The main objective of this research is tomeasure the sustainability of paddy field in Indramayu Regency, West Java, facingto the pressure of population growth, the rapid growth of settlement, the lowincome of farmers and various other problems. The methodology used ismultidimensional scaling based on the euclidians distance among the attributes of5 (five) dimensions of sustainability (ecology, economy, social, institutional andtechnology). A prospective analysis is conducted then on sensitive attributes inorder to generate the key for sustainability factors. This key factor is then used toestablish policy priorities based on the location of the attributes in the prospectivediagram. The results showed that in total, paddy fields in Indramayu regency are incondition of sustainable. However, individual analysis indicate that somedimensions are less sustainable, i.e. economic and institutional dimensions. In thisstudy, policy directions are then structured to improve sustainability through theintervention to sensitive key factors. Program Book 56

The 4th International Symposium on LISAT 2017ENVIRONMENTAL MANAGEMENT (ENV)ENV 001Low-cost small unmanned aerial system to study biological control of waterhyacinth - the world’s number one aquatic weed. Keshav Dev Singh (University ofCalifornia, Davis; [email protected])Water hyacinth (Eichhornia crassipes) is the world’s most economically damagingaquatic invasive weed species, including the Sacramento-San Joaquin Delta (theDelta). Water hyacinth infestations increase evapotranspiration and watertemperatures, and they reduce water oxygen levels and light penetration. Thesecompounding factors directly threaten endemic aquatic species and the overallresilience and sustainability of aquatic food webs in the Delta. Fishing andrecreational use of the Delta are also adversely affected. An estimated $27 billionagricultural production and 25 million people’s drinking water are jeopardized, andthey increase the prevalence of insect vector borne diseases, such as, West NileVirus.An insect species (Neochetina buchi) feeds on water hyacinth plants and isbeing mass-released as a natural insect enemy to reduce water hyacinthinfestations. Based on remote sensing technology, we have clearly demonstratedthat: 1) nutrient levels of water hyacinth plants greatly influence the susceptibilityof water hyacinth to its natural enemy, and 2) remote sensing technologies can beused to assess nutrient levels in water hyacinth plants. In this paper, we havestudied: 1) a range of available remote sensing imaging systems, 2) approaches todata processing and correction, and flight altitude and time of day parameters tooptimize remote sensing based management of water hyacinth. This paper is thefirst to demonstrate how remote sensing can be used effectively in ecologicalstudies and management ofaquatic weed species.ENV 002Measuring Environmental and Socio-Economic Deforestation by Using GeosirisModel at Kalimantan Island, Indonesia. Irmadi Nahib, Nugroho Purwono, Turmudi(Geospatial Information Agency;[email protected])Carbon emissions related to deforestation and forest degradation represent almost20% of globalemissions, greater than the global transportation sector and secondonly to theenergy industry. For several reasons, Indonesia is a very importantcountry inregarding to deforestation and forest degradation. Sixty percent ofIndonesia'sland area is forested, and it has the 3rd largest area of tropical rainforestin the world. Indonesia’s Forest in the period 2000-2009 has beendeforested about 15.15 million ha. The spasial distribution of deforestationoccurred on the Kalimatan island reach 5,505,863.93 (36.32) and Maluku Islands1,258,091.72 (8.30%). In the Kalimantan island, it self Central Kalimantan Provincehas the greatest deforestation, they are reaching 2,002,908.83 ha.Deforestation will cause carbon emissions. One of method for measuring emissionsfrom deforestation andforest degradation is Geosiris model. This model assumes Program Book 57

The 4th International Symposium on LISAT 2017forest users face atrade-off between the agricultural revenue obtained fromdeforesting land, andthe carbon revenue obtained by protecting them. A modeledGeOSIRIS policy usesa carbon payment system to incentivize emissionreductions. Theaim of study is to measuring deforestation and emissions fromtropicaldeforestation period 2005-2010 in Kalimantan island using Geosiris. Dataused in study : maps of forest cover in2005 and 2010, map of deforestation, drivervariables (slope, elevation, logarithmicdistance to the nearest road or provincialcapital, or the amount of area perpixel included in a national park, or a timberplantation), carbon price and agricultural. Calculatingemisi carbon was done by theGeOSIRIS module in TerrSet. The results show, according to Geosiris,that at an international carbon price of US $10/tCO2e, Kalimantan Island wouldhave : changein deforestation due to REDD is 170,447 ha 245 - 265 MtCO2e/ 5years, finally, net central government surplus from carbon payments US$ 300,276,736 (NPV, 5 years).ENV 004The Effect of Jatigede Dam Construction towards the Spatial Pattern of TotalSuspended Solids in Waters Areas around Mouth of Cimanuk River. RosiHandayani Tri Hadi Sukarno, Eko Kusratmoko, Revi Hernina (Department GeographyUniversity of Indonesia; [email protected])Construction of dams in theupstream area will lead to changes in flow water andsediment output in thedownstream area. The purpose of this paper is to investigatethe influence ofthe functioning of the dam Jatigede in Sumedang District towardsthe conditionof total suspended solids (TSS) in the waters sea areas around themouth of the Ci Manuk River. To identify TSS, then the algorithm is used is theBudhiman (2004) TSS = 8.1429*exp (23.704*band red). In this study, the imageryused is Landsat 8 OLI /TIRS multi-temporal during before and after the functioningof dam Jatigede from years 2014 to 2017. This study also discusses the changes inthe spatial and temporal variations in relation to the flow rate andoceanographic factors. The research area is divided into three regions, TheWestern Region at Mouth Ci Manuk River, Water sea areas between two mouth ofCi Manuk River, and The Eastern Mouth of Ci Manuk River. The spatial analysis thatused in this study is a trend surface analysis. After Jatigede operated whichwere already more than 15 months, the distributions and amounts of TSSconcentration> 80mg /l tends to reduce, especially at section the watersareas that close to the coast. The results also show the significance affect offlow rate towards the TSS distribution in Western Region before the functioningof the dam, while after the functioning of the dam it is no longer affect thedistribution of TSS in the three research areas. Program Book 58

The 4th International Symposium on LISAT 2017ENV 005Seasonal Variability of Diurnal Rainfall in Northern Coastal of West Java. ErmaYulihastin (National Institute of Aeronautics and Space (LAPAN);[email protected])Diurnal rainfall during the active monsoon period is usually associated with thehighest convective activity that often triggers extreme rainfall. Investigating diurnalrainfall behavior in the north of West Java is important to recognize the behavioraltrends of data leading to such extreme events in strategic West Java because thecity of Jakarta is located in this region. Variability of diurnal rainfall during the periodof active monsoon December-January-February was investigated using hourlyrainfall data of 3B41RT Tropical Rainfall Measuring Mission (TRMM) satellite.Through the Empirical Mode Decomposition method it appears that the diurnal raincycle during February has increased significantly in amplitude and frequency. Thissimultaneously shows that the indication of extreme rainfall events is relatedto diurnal rain divergences during the month of February shown through phaseshifts. The diurnal, semidiurnal, and tridiurnal cycles appear on thecharacteristics of the DJF composite rainfall data over the 2000-2016 periodand significant increases in amplitude occur during February on the diurnal(IMF 3) and tridiurnal (IMF 1) rain cycles.ENV 006Land and water management practices as antidotes for adverse impacts ofprojected land use and climate changes: Case of Ndembera River watershed,Tanzania. Canute. B. Hyandye (Nelson Mandela African Institution of Science andTechnology, Arusha; [email protected])Climate and land use/cover changes have been linked to a number of hydrologicalchanges in many watersheds including the Usangu catchment, located in thesouthern highlands of Tanzania. The Great Ruaha River originates in this catchment,it is important for wildlife in the Ruaha National Park, hydroelectric generation atMtera and Kidatu dams as well as other economic activities downstream. The riverhas been drying up every dry season since the 1990s to 2000s due to land use/coverchanges in Usangu catchment, notably deforestation and agricultural landexpansions as well as unstainable water abstractions. A study was carried out toassess the impact of near future (2010 to 2039) climate and the 2013 to 2020 landuse/cover change on the water balance and streamflow of the Ndembera Riverwatershed in Usangu basin using a Soil and Water Assessment Tool (SWAT). TheNdembera River accounts for about 15% of the total flow of the Great Ruaha River.The same tool was used to evaluate the effectiveness of four land and watermanagement practices as the mitigation strategies in reversing the adverse impactsof climate and land use changes. The 2020 land use/cover was predicted usingMarkov chain and Cellular Automata models based on 2006 and 2013 landuse/covers. The near-future climate scenario was generated from the Coupled Program Book 59

The 4th International Symposium on LISAT 2017Model Intercomparison Project 5 General Circulation Models. The increase inagricultural land and evergreen forest areas by 10% and 7% respectively, and the12% decrease of mixed forestland from 2013 to 2020 are associated with a decreasein the total water yield of 13%, and an increase in evapotranspiration and surfacerunoff by 8% and 18%, respectively. The near-future mean annual temperatures willbe 1.1ᵒC higher than the baseline period (1980-2009), accompanied by an increasein precipitation by about 3.4 mm/year, exacerbating the adverse impacts of landuse change through increasing evapotranspiration by 35% and a decreased wateryield of 8%. The management practices such as filter strips reduced the annualevapotranspiration by 6% and increased streamflow by 38% in February. The studydemonstrates that land and water management practices have great potential tomitigate the impact of future climate and land use changes on water resources, thusincreasing the availability of water for the ecosystem and economic uses.ENV 007Cellular Automata - Markov Application to Predict Land Use Change UsingArtificial Neural Network Method in Depok City at 2030. Rayond HasudunganMartin (University of Indonesia; [email protected])Depok city which has an area of about 20,029 ha, is inseparable from thephenomenon of the dynamics of land use change due to the continuous populationgrowth. If the process is allowed then there will be a huge shift and uncontrolled inland use . Land use prediction is one of the alternatives in anticipation of excessiveland use control in the future. This study aims to model the prediction of land usechange in Depok City by 2030 using Cellular Automata-Markov application withArtificial Neural Network method and compare it with Spatial Planning (RTRW) ofDepok as one of the planning instruments. The results of the study show the landuse change from 1998 to 2013. The increase of land use occurred in settlements of7254 ha (Limo and Sukmajaya District), agriculture 3327 ha, shrubs/open land andwater bodies of 395 ha and 451 ha. The large decrease occurred in the garden/vegetation and rice fields that amounted to 9707 ha and 1350 ha. Land useprediction shows the increase of land use occurred in the vegetation (Tapos Distrct)of 1813 ha, settlements of 391 ha (Beji, Pancoran Mas, Sukmajaya Distrct), and ricefield of 864 ha. A large decrease occurred in agriculture that amounted to 1971 haand shrub/open land of 1079 ha. The prediction of land use change in Depok for2030 has a Kappa value of 0.68 (68 of total Depok City. At least around 12516 ha ofhigh density settlements, 1549 ha for the Green Open Space, and 80 ha for theWater Catchment Area. Program Book 60

The 4th International Symposium on LISAT 2017ENV 008Distribution of Phytoplankton Using Remote Sensing in Cimandiri Estuary,Sukabumi, West Java. Fikri Firdaus, Supriatna, Revi Hernina (University ofIndonesia; [email protected])Estuary is one of the coastal ecosystem with high productivity, because the waterscontains an organism called phytoplankton. Phytoplankton has a role in primerproductivity of a waters, namely as a producer of organic and inorganic substancesformed through photosynthesis. In the bank of Cimandiri River, by the end of 2010,Pelabuhanratu Coal Power Plant construction had completed and started operating.This research aims to analyze the changes and the relationship between the physicalcharacteristics of the waters and the phytoplankton distribution before and afterthe construction of Pelabuhanratu Coal Power Plant. The physical characteristics ofthe waters used in this research are total suspended solid, salinity, sea surfacetemperature, currents and chlorophyll-a concentration as indicators for thepresence of phytoplankton. The method used in this research is spatial analysisusing remote sensing data that is validated from the results of in situ. For theremote sensing data, this research used Landsat 5 imagery in 2006 and Landsat 8imagery in 2016. The result shows that the amount of phytoplankton before theconstruction of Pelabuhanratu Coal Power Plant is higher than after PelabuhanratuCoal Power Plant had been constructed. Moreover, this phytoplanktonconcentration value is directly proportional to the value of total suspended solidand sea surface temperature, but inversly proportional to the salinity value and hasno effect on acean currents.ENV 009Identification of mangrove forest destruction in Belitung. Nabila Dety Novia Utami,Dewi Susiloningtyas (University of Indonesia; [email protected]).A study of Landsat 8 satellite image interpretation for identification of mangroveforest destruction in Belitung, was conducted in 2017 but using the data from 2016.The aim in this study to determine the damage and condition of the mangroveforest in 2016. Remote sensing techniques was applied through analysis andinterpretation of NDVI (Normalized Difference Vegetation Index). The landsat 8image that was used in this study issued by (USGS 2016), and the path and row was(122/62). The NDVI result was confirmed by purposive field survey on selected area.The results of the study showed that the damage on mangrove Forests can beclassified into three classes based on NDVI analysis. These classification was asfollows (a) severely damaged, (b) slightly damaged, and (c) not damaged. Accordingto this finding the accuracy of NDVI analysis for identification mangrove canopydensity in this study was 70. Destruction of mangrove forest in Belitung generallycaused by the conversion of mangrove forests into mining land and hit by largewaves. Program Book 61

The 4th International Symposium on LISAT 2017ENV 010Seagrass Distribution Using Remote Sensing at Ujunggenteng Coastal, Sukabumi.Estia Ditriyani, Supriatna, Mangapul P Tambunan (University of Indonesia;[email protected]).Seagrass beds have an important role to marine ecosystems, one of that is as ahabitat of marine life. This research was done because of the lack of information onchanges in seagrass density from year to year at Ujunggenteng Beach. Informationof seagrass density changes necessary to preserve seagrass beds at UjunggentengBeach. The purpose of this study was to determine the distribution of seagrass bedsat Ujunggenteng Beach and analyze the physical characteristics at UjunggentengBeach in 2000-2016. The physical characteristics discussed ini this study are the seasurface temperature, salinity, currents, depth of sea water and sea watertransparency. This study uses remote sensing technology that is used to look at thedistribution of seagrass beds by performing calculations based on Lyzengaalgorithms. Based on the results of the data processing, seagrass at UjunggentengBeach distributed on three areas of coral reefs. From year to year the area ofseagrass at Ujunggenteng Beach are likely to increase. The physical characteristicsthat affecting the distribution of seagrass at Ujunggenteng Beach are sea surfacetemperature, salinity, and depth of sea water, and the physical characteristics thatnot affecting the distribution of seagrass are currents and sea water transparency.ENV 011Dynamic Model of Forest Area on Flood Zone of Padang City, West SumatraProvince-Indonesia. Indang Dewata, Iswandi U (Universitas negeri padang;[email protected]).The flood disaster has caused many harm to human life, and the change ofwatershed characteristic is one of the factors causing the flood disaster. Theincrease of deforestation due to the increase of running water causes theoccurrence of flood disaster in the rainy season. The purpose of this research todevelop a dynamic model of forest on flood hazard zone. To develop a dynamicmodel of deforestation using powersim 10.1. In dynamic model development, thereare three scenarios: optimistic, muderat, and pessimistic. The results showed thatin the city of Padang there are about 13 percent of high flood hazard zones.Deforestation of 4.5 percent / year is one cause of increased flooding in the city ofPadang. If the absence of a policy in the management of forest areas in 2050hanyanya forest areas remaining 14 percent of the total area. Program Book 62

The 4th International Symposium on LISAT 2017ENV 012The Phenomenon of the Indian Ocean Dipole (IOD) and its Influence on theConcentration of Chlorophyll-a in a Sea of the West Sumatra and South Java.Marianto Yuda (Padjajaran University; [email protected]).This research aims to study on the phenomenon of the Indian Ocean Dipole (IOD)and their impact on the level of chlorophyll-a concentration in the waters of SouthWest coast of Sumatra and Java. Value in Dipole Mode Index (DMI) is obtained fromthe difference between the SST anomalies in the western Indian Ocean to theeastern part of the Indian Ocean. Based on DMI chart can be seen that thephenomenon of IOD (+) occurred in 2008, 2011, 2012, and 2015. For the IOD (-)occurred in 2010, 2013, and 2014-2015. IOD value (+) was highest in the month ofAugust 2012 with a value of 1.05 and IOD value (-) occurred in September 2010 withthe value of the index reached -0.87 so that it can be categorized IOD low intensity.In the span of years 2008-2015, IOD tends to occur in east monsoon season to thesecond transition. These phenomena have a significant impact on the current phaseof positive IOD in the waters south of Java.At the time value of DMI stronger(>0.4°C) value of chlorophyll-a concentration increased significantly, reaching 0.5-5mg/L in the span of those months and followed a decline SPL reaches 0.6-1.7°C. Forin the waters west of Sumatra, on a positive IOD phase during happens increasedconcentrations of 0.5-0.8 mg/L in 2011 and 2015 but was followed by a decreaseSST reach 0.6-1°C. IOD phenomenon affects the intensity of chlorophyll-aconcentration, but not entirely caused because of the range of 2008 to 2015 thevalue of its DMI average below one. The intensity of the southeast trade winds andcurrents South Equator during a positive IOD phase strengthened but weakenedReverse Flow Equator and otherwise during the negative phase IOD.ENV 013The Modulation of Kelvin and Mixed Rossby Gravity Waves by the Quasi-BiennialOscillation (QBO) in High-top CMIP5 Models. Karina I. Solihah, Sandro W. Lubis,Sonni Setiawan Bogor Agricultural University; [email protected]).Quasi-Biennial Oscillation (QBO) significantly influences the activity of Kelvin waveand Mixed Rossby-Gravity (MRG) wave in the tropical lower stratosphere. In thisstudy, we analyze the activity of stratospheric Kelvin and MRG waves within periodsof a few days in 9 high-top models of the fifth Coupled Model IntercomparisonProject (CMIP5). Based on the analysis of tropical zonal wind characteristics in thelower stratosphere, the high-top CMIP5 models can be divided into two groups,those are capable in simulating QBO (HadGEM2-CC, MPI-ESM-MR, MIROC-ESM) andthose are not able to simulate QBO (CanESM2, CMCC, MPI-ESM-MR, IPSL-CM5B-LR,IPSL-CM5A-MR, MRI-CGCM3). The results of zonal wavenumber-frequency spectralanalysis showed the Kelvin and MRG wave signals are strongly observed in themodels that can simulate QBO, but are relatively weaker in the model without QBO.Based on analysis of the spatial wave variance distributions, the models showed Program Book 63

The 4th International Symposium on LISAT 2017that Kelvin wave activity is stronger observed in the equator above the maritimecontinents, while the MRG wave activity has a stronger signal over the PacificOcean. In addition, the composite analysis indicates that models that are able tosimulate QBO have more robust signatures (amplitude and phase speed) of Kelvinand MRG waves, in comparison to ERA-Interim.ENV 014Impacts of Monsoon on Particulate Ocean Carbon Based On SatelliteMeasurement In Soutthern Java Sea. Dadang Subarna, Asri Indrawati (NationalInstitute of Aeronautics and Space (LAPAN); [email protected]).Particulate Organic Carbon (POC) is one form of carbon in the oceans. POCmeasurements are essential to learn and understand about the carbon cycle in theoceans that affect the carbon cycle globally. The oceans have an important role inthe carbon cycle and other biogenic compounds through the exchange andmodification of organic matter coming from the land to the oceans. This researchwas conducted to study the effect of monsoon on POC distribution by using satellitemeasurements. The purpose of this research is to understand the influencemechanism of monsoon variability on POC fluctuation in Southern Java Sea. Themethod used in this research are spatial and temporal descriptive analysis, satellitedata and HYCOM ocean model during 2012-2016 period. The results of wind data,SST and chlorophyll-a analysis from ASCAT and MODIS sensors indicate that duringthe Australian monsoon or Southeast monsoon, the wind blow from the southeastprovides the wind stress at sea level which causes Ekman Transport move awayfrom the shore. The water vacuum around the coast is replaced by cold water frombelow which is rich in nutrients. This process is called coastal upwelling. Thedistribution of chlorophyll-a during the Australian Monsoon was relatively higher inthe southern coast of Java than during the Asian monsoons. The SST analysis showsthere is a cooler water pool in that zone with a temperature of 25.3 °C relative tothe ambient temperature of 26.32 °C. The abundance of nutrients indicated by thedistribution of chlorophyll-a are correlated to POC distribution around the coastduring the Australian monsoon. Thus, it can be understood that POC distribution inSouthern Java Sea during Australian Monsoon is higher than from the other months.ENV 015Neighborhood Socio Economic Disadvantage Index’s Analysis of the FloodDisasters Area at East Jakarta in 1996 and 2016. Christina Ranti Ristiani (Universityof Indonesia; [email protected]).Flood is one of natural disasters that have often happened in East Jakarta. Flood cangive several negative impacts and it can affect all aspects of society lives such aseconomical, political, cultural, social and others. East Jakarta is an urban area whichcontinuously grows and establishes to become a rapid area. It can be seen from thehighest population density in East Jakarta (BPS, 2016) and categorized into a region Program Book 64

The 4th International Symposium on LISAT 2017prone to flooding based on data Prone Flood Map in 1996 and 2016. The higherpopulation exists in East Jakarta, the bigger possibility of the negative effects ofdisaster it gets. The negative impacts of flood disaster are caused by so manyfactors. There are two main factors that give contribution to flood in East Jakarta,physical (topography, soil conditions, rainfall and others) and socio-economicfactors (income, occupation, education and others). However, this study justidentifies the socio-economic factors of flood disasters in East Jakarta. The purposeof this study is to explain the most affecting socio-economic factors and flood areaby making overlay analysis between NSDI’s Map and Flood Area's Map. In addition,the purpose of this study is also to describe the most affecting socio-economicfactors from statistic analysis between flood area and NSDI. This study is qualitativedescriptive model at East Jakarta in 1996 and 2016. The population of this study isEast Jakarta. The technique of collecting samples is purposive sampling. Datacollecting techniques are documentation of income, occupation, education,housing and population from BPS in 1996 and 2016. The data are analyzed byNeighborhood Socio Economic Disadvantage Index (NSDI) to see the socio-economic factors from the impacts of flood disasters in East Jakarta. Finally, NSDI'smap and Flood Area's Map of 1996 and 2016 will be compared.ENV 016The Activity of Convectively Coupled Equatorial Wave in Tropical TropopauseLayer from High-Top CMIP5 Models. Alia Harza, Sandro W. Lubis, Sonni Setiawan(Bogor Agricultural University, Indonesia; [email protected]).Sub-seasonal variability including convectively coupled equatorial waves (CCEWs)significantly influences the variability of the tropical tropopause layer (TTL). Thisstudy investigates the CCEW activity in the TTL, including Kelvin waves, MixedRossby-Gravity (MRG), and Equatorial Rossby (ER) from the Reanalysis and 9 high-top CMIP5 models using the zonal wavenumber-frequency spectral analysis methodwith equatorially symmetric-antisymmetric decomposition. We found that the TTLactivities in the high-top CMIP5 models lie generally within the range of those in thereanalysis, with a few exceptions. The MIROC and HadGEM2-CC models work bestin simulating Kelvin wave in the TTL, while the HadGEM2-CC and MPI-ESM-LRmodels work best in simulating MRG waves. The ER waves in TTL are best simulatedin the MRI-CGCM model. None of the models are good in simulating all waves atonce. It is concluded that the broad range of wave activity found in the differentCMIP5 models depend on the convective parameterization used by each model andthe representation of the tropical stratosphere variability, including the QBO. Program Book 65

The 4th International Symposium on LISAT 2017ENV 017Analysis and comparison of forest cover changes related to the oil palmdevelopment in Sumatra and Kalimantan based on different data sources. SuriaTarigan (Bogor Agricultural University, Indonesia; [email protected]).Acceptance of palm oil (CPO) as a sustainable biofuel energy is strongly influencedby the life cycle analysis (LCA) of the LUCC (Land Use and Cover Change). Thecontribution of the previous LUCC of the oil palm plantation in the LCA is veryimportant. Most institutions claim that CPO will not qualify the standard of GHGemission reduction if the plantation were developed from forest conversion.Therefore, knowing previous land use before the development of oil palm is veryimportant. In Indonesia, oil palm development occurs mainly in Sumatra andKalimantan. A number of studies had been published showing the historical LUCCbefore oil palm development. Objective of this study was to compare and to analyzeresults of several studies on LUCC carried out in three important provinces whereoil palm development occurs rapidly, namely Riau, Jambi, Kalbar and Kalteng. Theanalysis and comparison will be based on the different source of historical dataincluding online data of the Global Forest Watch and various results of studiespublished in several journals. Our study revealed that each data source of LUCCshow some significant variation on the amount of oil palm developed directly fromforest and other land use types.ENV 018Dynamical Link of Peat Fires in South Sumatra and Climate Modes in The Indo-Pacific Region. Raden Putra, Deni Okta Lestari, Sabaruddin, Edy Sutriyono, IskhaqIskandar (Sriwijaya University; [email protected]).Peat fires resulted in a catastrophic haze disaster in Indonesia, particularly in theSouth Sumatra during the dry season. It has been suggested that extreme climateanomaly is one of factor forcing the peat fires in the South Sumatra. This study isdesigned to evaluate a possible relation between climate modes in the Indo-Pacificregion and the peat fires during the last two decades (1995-2016). The resultsshowed that the climate modes; the El Niño and positive Indian Ocean Dipole (pIOD)had significant correlations with the number of hotspots in the study area. A largenumber of hotspot was observed during those two events, in particular during 1997,2006, and 2015. Interestingly, the hotspots consistently appear during the dryseason since 2002 except during the La Niña events in 2010 and 2016. It is suggestedthat deficit rainfall during El Niño and/or pIOD events triggered peat fires in theSouth Sumatra. A large number of hotspot during the peak 2006 pIOD and 2015 ElNiño co-occurred with extreme deficit rainfall in October. Program Book 66

The 4th International Symposium on LISAT 2017ENV 019Estimation of Above-ground biomass with an application of Remote Sensing andField Inventory Data of Buffer zone community forest in Central Nepal. PanditSanta, Tsuyuki Satoshi, Dube Timothy (The University of Tokyo; [email protected]).Few researches have been conducted in the past, that reflect the status of the forestby means of assessing biomass which is a significant indicator for substanceaccumulation and forest succession within the Buffer Zone (BZ) area. In this study,we, therefore, assessed the potential of Generalized Linear Model (GLM) andRandom Forest (RF) algorithms in predicting aboveground biomass (AGB) of thenatural forest using the Landsat 8 imagery derived spectral information andvegetation indices in Parsa Wildlife Reserve of Central Nepal. Methodologycomprises of a) assemblage of reference dataset from field data and Landsat 8; b)using General Linear Model (GLM) approach for three spectral set i) spectral bands,ii) vegetation indices & iii) combination of spectral bands and vegetation indices), &c) using RF algorithms for full predictor variables and important predictor variables.Both the regressions were established in R package. The model error was assessedusing 10-fold cross validation. A total of 173 plots were surveyed and tree species-specific allometric equation was used for AGB calculation. Landsat 8 image wasatmospherically corrected by using Fast Line-of-sight Atmospheric Analysis ofHypercubes (FLAASH) algorithm built in ENVI 5.3 software. ENVI was also used toextract the spectral value of Band 1 to 7 at plot-level and hence used for calculatingvegetation indices. The result showed that the RF algorithm yielded the bestperformance in predicting biomass using full predictor variables with R2 of 0.87 andRMSE of 20.50 t/ha as well as based on the important selected variables with R2 of0.95; RMSE of 13.3 t/ha. General Linear Model yielded low performance but yetpromising results with R2 of 0.36; RMSE of 45.37 t/ha for spectral bands. Whereasvegetation indices showed improvement in the performance with R2 of 0.45; RMSEof 41.91 t/ha, and for the combination of spectral bands and vegetation indicesshowed more or less same result of former resulting R2 of 0.46; RMSE of 41.91 t/ha.Overall, this study could demonstrate the invaluable and potential strength ofapplying freely available medium resolution image in predicting AGB of naturalforest for countries like Nepal, where high resolution remote sensing data remainschallenge.ENV 020Assessment of forest degradation at tropical small island ecosystems using EVI ofLandsat imagery and restoration practices by community. Annisa Hasanah,Supriatna, Mochamad Indrawan (University of Indonesia;[email protected]).This research aimed to measure and document the degradation and ensuingrestoration undertaken by the local communities in Peleng, Banggai Islands, Central Program Book 67

The 4th International Symposium on LISAT 2017Sulawesi. Forest degradation was evaluated using Landsat satellite images for theyears 1991 and 2014. Enhanced Vegetation Index (EVI) method was applied toquantify the change in vegetation cover. In the study area in western Peleng mostof area is in high degraded but degradation decrease due to increasing altitude.About 48 of land were less degraded and 28% is moderately degraded. Logisticregression analysis revealed that degradation event significantly influenced byaltitude, and distance from roads and settlements. The appropriate type ofrestoration for less degraded forests is assisted natural regeneration (ANR). Thiswould be applicable for region with high altitude and far from roads andsettlements. Enrichment planting with native and selected non-native trees suits inhigh slope and watershed region in order to prevent erosion and drought. Highdegraded forest should be restored by agroforestry as sustainable agriculturesystem. Some rehabilitation practices were evaluated and showed that mixednative and non-native plantation had vary in result, yet Ficus sp. plantation judgedas the most satisfying species. Seedling was successful when the seeds werecollected from the vicinity of the local forests, because it has similar importantabiotic factors such as temperature, humidity and climate. There are several forestarea that believed by locals as a sacred region, thus protected from disturbancesand in that way become an indigenous conserved areas. Empowering locals as thefirst defenders and managers of the forests proved to be successful approach.ENV 021Peat swamp land cover classification for biomass mapping using Airborne Lidar.Solichin Manuri, Hidayah Hamzah (MAP Institute; [email protected]).The newly developed peat restoration agency (PRA) has a mandate to restoredegraded peat swamp ecosystem in Sumatra and Kalimantan. Accurate anddetailed mapping is required for peat lands restoration planning. We used AirborneLight Detection and Ranging (LiDAR) and orthophoto technology for generatinghigh-resolution DEM and vegetation structures. The overall aim of this study is todefine land cover classification scheme suitable for estimating carbon stock of peatland ecosystem. This study utilizes airborne LiDAR and orthophotos data acquiredin 2017 in peat swamp ecosystem in South Sumatra. First, we generated digitalsurface model (DSM) and digital elevation model (DEM) based on the first and lastreturn of LiDAR points. We then generated canopy height model (CHM) bysubtracting DSM with DEM. Canopy-height based land cover map was generated byclassifying the CHM layer. Second, we identified and visually digitized vegetationtypes using high-resolution orthophotos. Finally, we fused the vegetation type mapwith canopy-based land cover map to generate a detailed information on thevegetation types and the canopy heights. The fused map is then utilized toclassifying the vegetation cover based on vegetation types and the physiognomy ofthe vegetation. This information will assist PRA in conducting restorationintervention planning, such as identification of canal blocking locations andidentification of areas and strategy for the re-vegetation scheme. Program Book 68

The 4th International Symposium on LISAT 2017ENV 022Potential Threats to The Rhino’s Habitat in Pocket 3 West Kutai, East Kalimantan.Abdul Mukti (WWF-Indonesia; [email protected]).The Sumatran rhino is an animal that included to the Critical Endangered category(IUCN). Survey, monitoring and patrol activities in pocket 3 have been conductedfrom 2014 until 2017. Pocket 3 is in the Concession Area and Community area.Potential threat in pocket 3 are cultivation activities, logging activities, miningactivities, animal hunting/snare, and camp. By 2014 as many as 39 potential threatswere discovered with distances ranging from 15 m - 4,389.85 m. As many as 87.18of potential threats were <1000 m from the rhino signs in 2015. By 2016, as manyas 89 potential threats were discovered with distances ranging from 0 m - 8,430.05m from the rhino signs. As many as 62.92 of potential threats were <1000 m of therhino signs in 2017. There is a decreasing area of rhinos in 2017. By 2017, the rhinohome range area is less than 1.000 ha in Pocket 3.ENV 023Evaluation and Comparison of Hourly and Daily TRMM Precipitation Products withthe Rain Gauge Data in the Sungai Baung District, South Sumatera. Muhamad Nur,Deni O. Lestari, Wijaya Mardiansyah, Dedi Setiabudidaya, Iskhaq Iskandar(Sriwijaya University; [email protected]).Precipitation is a highly dynamic process, constantly changing in form and intensityas it passes over a given area. Nowadays, rainfall data required for a wide range ofscientific applications can be achieved through meteorological satellites. However,the satellite data require a validation by comparing with in-situ. This study isdesigned to evaluate and compare the hourly and daily precipitation obtained fromthe Tropical Rainfall Measuring Mission (TRMM) satellite with the rainfall data froman Automatic Weather System (AWS) located at the Sungai Baung District, SouthSumatera. Due to instrument failure, only short period from 1 November 2013 to31 December 2014 of rainfall data were obtained from the AWS. The correlationand regression analysis were used to examine the TRMM data in this study. Theresults revealed that the TRMM data have significant correlation with the AWS data.On the hourly time scale, the coefficient correlation of those two precipitation datais r = 0.10 (significant at 99 of r > 0.135). Based on the analysis, it could be suggestedthat the TRMM data can be used for estimating the precipitation over the rural orunpopulated areas where rain gauge is unavailable. Program Book 69

The 4th International Symposium on LISAT 2017ENV 024Ocean Heat budget analysis on SST anomaly in Western Indian Ocean duringstrong-weak Asian summer monsoon. Ibnu Fathrio, Satoshi IIzuka, AtsuyoshiManda (National Institute of Aeronautics and Space (LAPAN);[email protected]).In this study we investigated the SST anomaly in Western Indian Ocean (WIO)related to strong and weak Asian summer monsoon in June, July and August (JJA).During weak (strong) summer monsoon, first warm (cool) SST anomaly develops inSouthwestern Indian Ocean (SWIO) in boreal spring. In boreal summer, warm (cool)SST anomaly extends northward to Western Arabian Sea (WAS) which maycontribute to increase (decrease) moisture supply that results in greater (less)precipitation in the Western Indian region. Ocean heat budget analysis using fixed-depth mixed layer were conducted on Ocean Reanalysis models. Our resultshighlighted the importance of ocean advection and surface heat flux as the causeof warm/cool SST anomalies in SWIO and WAS respectively.ENV 025Analysis of Landuse Change Influence Againt River Discharge change Using SWATModel at Upstream Cisadane Watershed. Mahmuda Avi Utamahadi, Nora herdianaPandjaitan, Maulana Ibrahim Rau (Bogor Agricultural University (IPB);[email protected]).High Population growth in developing countries, such as Indonesia, is notcompatible with the land availability. Its increase in landuse changes for agriculture,residences, industries, road, and many others cause many impacts on theenvironment including watershed. Increasing number of the priority watersheds inIndonesia show that they are getting damaged every year. Upstream CisadaneWatershed is part of Cisadane Watershed, which is one of the national prioritywatersheds. It is located in Ciherang Pondok Distict and used as a water source forthe raw water supply of PDAM Tirta Pakuan. As a watershed which is used for watersource, the information of the relationship between the river discharge and the rawwater supply are required for the development of water source. As a nationalpriority watershed, analysis of the river discharge changes resulting from landusechanges is required to be done as an overview of the water availability in the front.This research was conducted with GIS based modeling software using Soil andWater Assessment Tool (SWAT) that could be used for analyzing and reviewinghydrological condition as well as landuse changes of an area. This research waspurposed to suspect water discharge change due to landuse changes in 2016 to2020. Several stages of this research were delineation, HRU, simulation, calibration,validation, which were then compared with prediction value of water needs in 2016to 2020. Based on the results of the simulations from 2007 to 2015 obtained, theaverage of maximum and minimum monthly discharge were 29.96 m3/sec and 6.28m3/sec. Program Book 70

The 4th International Symposium on LISAT 2017ENV 027Potential Change of Seagrass Extent and Biomass in Cockburn Sound, WesternAustralia. Salira Vidyan (The University of Western Australia;[email protected]).The extent of seagrasses in Cockburn Sound was examined using Nearmap imagesof year 2010, 2012, 2014, and 2016 to be compared to the last assessment in 1999by Kendrick et. al. (2002). It was identified that the seagrass coverage has increasedby 231 Ha since 1999, with most of the growth occurred in the southern part. Whilethe water quality in Cockburn Sound has improved, it is believed that there areother pressures affecting the slow growth rate of the seagrasses.The seagrassbiomass was also evaluated using Landsat images of year 1994, 1999, 2010, 2012,2014, and 2016 in addition to a field survey data of leaf biomass by Fraser et. al.(2016). Despite its increasing extent, seagrass in Cockburn Sound indicated adeclining biomass since 1994, which is believed due to the changing nutrientcontent.The sea surface temperature, derived from Landsat images, shows anunclear correlation with both the extent and biomass of seagrasses. While therewas a heatwave in 2011/2012, the available data was acquired during the coldermonths and might cause a bias in the analysis.ENV 028Hazard Potentials Identification for Tourist Safety in Suwuk Beach TourismKebumen Region Central Java. Inggita Nuri Prihantini, E K S Harini Muntasib,Agustinus M.Samosir (Bogor Agricultural University; [email protected]).Suwuk Beach, which is located in Kebumen, Central Java, in 2014 and 2016 hasshown examples of disruption toward visitors owing to the attacks of jellyfish andwaves. Hazard in tourism area can be detrimental to visitors. Therefore, a researchon hazard identification and mapping is needed to address the hazard. This studyaimed to identify the potential hazards and tourism hazard management. Thisresearch was conducted in March-April 2017. Data was collected throughdocuments study, interviews and field observations, and were then analysed basedon the risk level matrix with 1 – 70 value range. ArcGis 10.3 was used to map thepotential hazards found in the area. Potential hazards found in the area includedwinds, rip currents, tides, plunging waves, beach type (beach cup), and jellyfish. Theplunging waves and rip currents had very high risk level, with plunging wave at thehighest. The local lifeguard organization had carried out preventive action byproviding warning for the visitors during patrols. In order to reduce the risk, therewere two hazard risk management (HRM) measures that can be applied in SuwukBeach, i.e. to accept the risk and to avoid risk. An effective hazard risk managementwould require institutional improvement of the stakeholders involved, safetyinfrastructure development, and visitors knowledge enhancement. Program Book 71

The 4th International Symposium on LISAT 2017ENV 029Hazard Risk Management at Karang Hawu Beach, Sukabumi Distric, West Java.Sofia Ucu Utami, Eks Harini Muntasib, Agustinus M Samosir (Bogor AgriculturalUniversity; [email protected]).Karang Hawu Beach, obtained its name from its furnace-shaped coral, is one of theleading tourist attraction in Palabuhanratu, Sukabumi, West Java. The beach, havingnatural panorama of reefs jutting into the sea, has attracted many visitors, up to 1.7million of visitors per year. Karang hawu beach has the characteristics owned by theIndian Ocean, i.e. big waves (billow), deep ocean bathymetry, and over three metershigh waves. During 2012 – 2016, 21 cases of accidents caused by waves and ripcurrents has occurred. Regardless of the management carried out by localorganization, cases of accident was still took place. Therefore, research is requiredto identify and map the hazard to be able to organize more effective managementmeasure. UNEP’s hazard risk management was used to produce a recommendationof hazard management measure for the area. There were four management optionssuitable for the area, i.e. accepting tolerable risk, avoiding risk, reducing risk, andtransferring risk. Technical measures that should be taken to reduce the riskincluded providing first aid, using red flag to mark hazardous area, raising visitors’awareness toward hazard, and setting safe area for visitors.ENV 030Hazard Management in Parangtritis Beach, Bantul Regency, Special Region ofYogyakarta. Veronica Anglisa Putri Nugroho, EKS Harini Muntasib, Agustinus MSamosir (Bogor Agricultural University; [email protected]).Parangtritis beach is one of beaches in the southern part of Java, located in Bantulregency, Special Region of Yogyakarta. The beach is located in the collision zonebetween the Indo-Australian Plate and the Eurasian Plate and has mixedpredominantly diurnal tides, inflicting potential hazards. This research, aimed toprovide hazard management recommendation, was conducted in March to April2017. Data on potential physical and biological hazard was collected throughobservation, interview, and literature study. United Nation EnvironmentProgramme (UNEP) assessment was used as reference in analyzing the data.Hazard-prone areas were mapped using ArcGIS 10.3 application. Physical hazardpotentials found in the area were current, wave, earthquake, and tsunami. Jellyfishwas the only biological hazard potentials found in the area. Current had the highesthazard risk level compared to other potential hazards identified in the area. Currentemergence could be predicted through tidal conditions, wind, and weather.Stakeholder related to disaster management should be involved in preventive andrepressive measures. Preventive measure included improvement of residents andtourists knowledge about types and location of hazard and disaster. Repressivemeasure consisted of the handling of accidents by local organization, evacuation ofresidents and tourist to safe area in occurrence of earthquake and tsunami. Program Book 72

The 4th International Symposium on LISAT 2017ENV 031GIS-based approach for quantifying landscape connectivity of Javan Hawk-Eaglehabitat. Cici Nurfatimah, Syartinilia, Yeni Aryati Mulyani (Bogor AgriculturalUniversity; [email protected]).Javan Hawk-Eagle (Nisaetus bartelsi; JHE) is an endemic raptor that highlydependent to natural forest which currently threaten by environment degradation.The biggest threat for its habitat is the decreased in number and size of patches thatwill lead to patch isolation and species extinction. This study assessed the degree ofconnectivity between remnant habitat patches in central part of Java by utilizingConefor Sensinode software as an additional tool for ArcGIS. The connectivity indexwas determined by three fraction which are infra, flux and connector. 4 patches ascore habitat, 9 patches as stepping-stone habitat and 6 patches as isolated habitatwere derived from those connectivity indices. Those patches then being validatedwith land cover map derived from 5 Landsat 8 OLI/TIRS imageries acquired at5th,23rd and 30th August 2014. 36 natural forest and isolated habitat covered by59% natural forest. Isolated patches were caused by zero connectivity (PCcon = 0)and the patch size which too small to support viable JHE population. However, thecondition of natural forest and the surrounding matrix landscape in isolated patchesactually support the habitat requirement. Therefore, it is very important to conductthe right conservation management system to improve the status of isolated tonon-isolated patches. This study showed that combining quantitative tools withArcGIS was helpful to determine the initial step in conservation managementpriority.ENV 032Carrying Capacity of Peucang Island for Ecotourism Development in Ujung KulonNational Park. Kukuh Hadi Wiyono, EKS Harini Muntasib, Fredinan Yulianda (BogorAgricultural University; [email protected]).Peucang Island is one of island in Ujung Kulon National Park (UKNP), appointed aspriority area and welcome area for tourism development. It has various tourismobjects and facilities that had been managed. Peucang Island was included asutilization zone of UKNP. Its carrying capacity should be considered to ensureecological sustainability. This research aimed to calculate the carrying capacity ofPeucang Island for ecotourism development (Study sites of this research are KarangCopong jungle track and 8 sites of Peucangs beach). This research used observationmethod (wildlife exploration, measure the lenght of jungle track, and measure 10parameters of beach), literature study and and interview method to collect data.The data of jungle track analyzed use Cifuentes’s formula. The carrying capacity ofjungle track consists of three types; Physical Carrying Capacity (PCC), Real CarryingCapacity (RCC) and Efective Carrying Capacity (ECC). The result showed that Karang Program Book 73

The 4th International Symposium on LISAT 2017Copong jungle trekking had 20,000 visitors/day for PCC, 4,838 visitors/day for RCC,and 6 visitors/day for ECC. Biological aspect had not been calculated in the formula,but an observation of the wildlife showed that there were some damages ofvegetation along the track, and the changes in animal behavior. The data of beachcarrying capacity analyzed use Yulianda’s formula that measured with the suitabilitymap approach. Based on the suitability map, two beaches (location 1 and 8) wereclassified in suitable category, while six beaches (location 2, 3, 4, 5, 6 and 7) wereclassified in highly suitable category for tourism activities. All of the beaches haddifferent number of carrying capacity, specifically there are 70 visitors/day in highlysuitable beach and 27 visitors/day in suitable beach. This result could be used forvisitor management in Peucang Island for ecotourism development.ENV 033Spatial Distribution of Ozone over Indonesia (Study case: forest fire event 2015).Sri Muslimah, Muhamad Buce Saleh, Rahmat Hidayat (Bogor Agricultural University;[email protected]).Ozone monitoring instrument (OMI) is Aura Satellite program that capable toexplain ozone concentration globally with different spatial and temporal resolution.Previous study mention about biomass burning and its effect for ozoneconcentration. In 2015, fires in Sumatera and the Indonesian part of Borneo werethe worst since 1997. Satellite observation have important role to tracked fires thatburned and spread across south-east Asia. Utilization of OMI will be help to describethe condition of ozone concetration in Indonesia when forest fire occured. Theforest fire data approached by hotspot data from Moderate Resolution ImagingSpectroradiometer (MODIS) collection 6. This research aims to identificationrelation forest fire and ozone concentration in Indonesia, especially in 2015. Theinitial result show that ozone concentration increased while hotspot increased. Thisraises the hypothesis that there is a relationship between its. The expected result isthe equations of hotspot accumulation increased and ozone concentrationincreased that support the hypothesis.ENV 034Tourism hazard potentials in Mount Merapi: how to deal with the risk. JaddaMuthiah, Resti Meilani, E. K. S. Harini Muntasib (Bogor Agricultural University;[email protected]).Mount Merapi is one of the popular natural tourism destination in Indonesia,indicated as disaster prone area. As one of active volcanos, there are hazards thatthreaten Mount Merapi visitors. Hazard management is required to ensure visitorssafety, and hazard identification and mapping are prerequisite in developing properhazard management recommendation. Data collection was carried out in Mei –June 2017 through observation and interview. Selo hiking trail, the main hiking trailin Mount Merapi with high number of visitors, was selected as the study site. Program Book 74

The 4th International Symposium on LISAT 2017Mapping of hazard potentials on the trail using ArcGis 10.3 application had beenable to identify thirteen locations with potential hazards. The type of hazards foundin the area included lava, tephra, eruption cloud, ash, earthquake, land slide,extreme weather, slope and loose rock. Early warning system had been developedin this area, however the mechanism to regulate tourism activities still had to beimproved. Local tourism entrepreneurs should be involved in the network of earlywarning system stakeholders to ensure tourist safety, and their capacity should beimproved in order to be able to perform the measures needed for handling accidentand disaster occurrences. Interpretive media explaining hazard potentials could beused to improve visitors awareness and ability to cope with the risk.ENV 035Extreme land cover change in the Merang Kepahyang peat forest associated withthe 2015/16 El Niño events. Agus Dwi Saputra, Raden Putra, Dedi Setiabudidaya,Dwi Setyawan, and Iskhaq Iskandar (Sriwijaya University; [email protected]).During 2015/16, strong El Niño event took place in the tropical Pacific Ocean. It wasreported that the 2015/2016 El Niño event was the strongest event in the lastdecade. As an impact of the El Niño event, Indonesia experienced severe droughtleading to serious environmental problems, such as forest fire. This study aims atevaluating the impact of the 2015/2016 El Niño event on land cover change in theMerang-Kepahyang peat forest using satellite remote sensing data. The Merang-Kepahyang peat forest has a total area of ±69,837 ha of which about 70 of the totalarea were burned during 2015. The severity level of burned area is classified intothree classes, namely low burned (±12,231.29 ha or about 17.51 of the total area)and moderate extreme burned (±4,920.23 ha or about 7.1 of the total peat area(e.g. secondary peat forest and peat swap forest) were burned during the peak ofthe Indian Ocean Dipole.ENV 036Reducing the risk of potential hazard in tourist activities of Mount Bromo. RestiMeilani, Jadda Muthiah, E. K. S. Harini Muntasib (Bogor Agricultural University;[email protected]).Have been crowned as one of the most beautiful mountain in the world, MountBromo has particular landscape uniqueness. Not only volcano, Bromo also hassavanna, sea of sands, and culture of Tengger tribe. Its panoramic landscape hasattracted a high number of tourist, both domestic and foreign, despites the threatof eruption. To ensure tourists safety and satisfaction, the potentials hazard, bothfrom eruption and other features. This research was carried out in Mei – June 2017to collect data on types and geographical location of potential hazard in MountBromo and map the hazard using ArcGIS 10.3, in order to organize proper hazardmanagement recommendation. Lava, tephra, eruption cloud, ash, earthquake, land Program Book 75

The 4th International Symposium on LISAT 2017sliding, extreme weather, slope, transportation modes (jeep, motorcycle, andhorse), human, and land fire were found as potential hazards in Mount Bromo. Ninelocation has been identified as hazard area in the tourism areas, i.e. savanna, seaof sand, Bromo caldera and Pananjakan I trail and viewing point. Early warningsystem should be developed as part of hazard management in the area. Capacitybuilding of local stakeholders, including the surrounding community and visitors,would be needed to implement hazard management plan and reduce risk of thehazard.ENV 037Analysis of Cumulonimbus (Cb) and Wind Related to The Rainfall At Gedebage,Bandung, West Java. Sinta Berliana Sipayung, Tiin Sunarta (National Institute ofAeronautics and Space (LAPAN); [email protected]).Indonesia is known as a specific region at equatorial called as Maritime Continent(MC). This region has a lot of clouds in the atmosphere, including Cumolonimbus(Cb) clouds. Although, so much to receive heat from the sun and clouds, but not allof the convective clouds have the potential to rain. The objective of this paper is toanalyze the rainfall on the surface of the integration between Cb and wind basedspace data based on algorithm/threshold by using satellite data and observationdata in West Java. The data used are hourly data on March 14, 15, 16 and 17, 2013from Multi-functional Transport Satellitte (MTSAT IR1 and IR2) Cb spatial, wind andrain in-situ from AWS (Automatic Weather Station. The aim of this study is toanalyze surface rainfall based on cb clouds and surface wind based on space spacedata. From the results obtained that the wind velocity on the surface seen increasedbefore the emergence of cumulonimbus cloud (Cb) with the index value of six (6)the cloud cumulonimbus. After the cumulonimbus cloud Appeared, 1 or 2 hourslater rainfall, especially on the observation of March 16, 2013 at 16-22 hours localtime and the duration of rain about 5 hours.ENV 038The Utilisation of Silver and Shrimp-shell Waste for the Production of SilverNanoparticles as Antimicrobial Agent (Vibrio cholerae, Clostridiumacetobutylicum and Aspergillus niger). Fitria Maria Ulfha, Amalia Susanti,LaelyNurokhmah, Laiely Puspita Sari, Anggun Dwi Lestari (Yogyakarta State University;[email protected]).Silver waste is mostly produced from home-based silver plating industries and fixer.Silver that still contained in the waste, used for the formation of silver nanoparticleswith the addition of chitosan from shrimp leather waste. These nanoparticles weretested against Vibrio cholerae, Clostridium acetobutylicum, and Aspergillus niger.Testing of these bacterias aims to determine the size of the inhibitory zone and theeffect of nanoparticles on bacterial growth.The silver waste from industrial plating Program Book 76

The 4th International Symposium on LISAT 2017was electrolyzed to recover the silver precipitate. Electrolysis was carried out withan inert carbon electrode, then electrolysis result dissolved with HNO3 to make a0.1 M AgNO3 solution. While, shrimp waste was made into chitosan by addingseveral reagents for deproteinization, demineralization, and deacetylizationprocess. Chitosan will be used as a stabilizer for nanoparticles. Preparation of silver-chitosan nanoparticles was made with a variation of AgNO3 concentration of 0.02M; 0.04 M; 0.06 M; 0.08 M; and 0.10 M. The resulting nanoparticles were testedagainst Vibrio cholerae, Clostridium acetobutylicum, and Aspergillus niger bacteriavia disc test. The result of data analysis showed significant value between theconcentration factor and microbial type on the drag zone diameter, with the largestinhibitory zone results in Clostridium acetobutylicum, Vibrio cholerae, andAspergilus niger respectively. Based on these results it can be concluded that silver-chitosan nanoparticles based on silver waste and shrimp skin have potential asantimicrobial agent Clostridium acetobutylicum, Vibrio cholerae, and Aspergilusniger.ENV 039Spectral characteristics of burned area on peat and mineral soils from Landsat-8imagery. Suwarsono, Sayidah Sulma, Hana Listi Fitriana, Any Zubaidah, IndahPrasasti, M. Rokhis Khomarudin (National Institute of Aeronautics and Space(LAPAN); [email protected]).Forest and land fires occurring in Indonesia almost every year, especially during thedry season, can occur in peat soils and mineral soils. In Indonesia, Landsat-8, thelatest generation satellite of the Landsat series, has been widely used for theidentification and mapping of forest and land fires. Understanding the spectralcharacteristics of an object on a area from a satellite data is the first step to betaken to find the most appropriate and accurate method to identify it. This studyaims to understand the spectral characteristics of burned area on peat soils andmineral soils from Landsat-8 imagery. The research sites are located in Sumatra,Kalimantan and Java. Steps of data processing include data calibration, sampling,and statistical analysis. The results show that in general, in Landsat-8 imageries,burned areas, both on peat soils and mineral soils, exhibit similar patterns ofreflectance.ENV 040Evaluation of Cipinang River water quality status and its source of pollution. HefniEffendi, Sri Muslimah (Bogor Agricultural University; [email protected]).Based on the calculation of the Storet Index and the Pollution Index for grade 4, thewater quality of the Cipinang River in the Jakarta segment tended to improvetoward moderately or lightly polluted contamination. However, there were still Program Book 77

The 4th International Symposium on LISAT 2017heavy polluted (2012-2014) (SLHD and PKA Data). Cipinang River water quality inthe Jakarta segment tended to improve from lightly polluted to good cindition(2012-2014) (BBWS-CC data). Water quality status of Cipinang River Depok segmentwas moderately polluted or lightly polluted (2012-2014) (SLHD and PKA Data).Meanwhile, the water quality status of Cipinang River Depok segment tended to begood (2012-2014) (BBWS-CC data). Total potential pollutant load in Cipinang Riverwas 375,037.01 kg/day BOD, 669.399.64 kg/day COD, and 349,883.27 kg/day TSS.Generally it could be concluded that the water quality of Cipinang River is currentlyclass 4.ENV 041Integration of water quality characteristic, land use, and land cover to determinePesanggrahan River water quality status. Sri Muslimah, Hefni Effendi (BogorAgricultural University; [email protected]).Government regulation number 82/2001 stipulated four classes of water quality.As much as 7 locations of water quality monitoring during 2012-2014 inPesanggrahan River were collected. The purpose of this study was to integratewater quality classes and spatial analysis of land use and land cover inPesanggrahan River using GIS Analysis. Water quality characteristic weredetermined by using Storet Index and Pollution Index. The spatial analysis wereconducted by Landsat imagery for classification of land use in Pesanggrahan Rivercathment area. The study results revealed that the current water qualitycharacteristic is class 4. River water quality class recommendation is class 3, andtarget river water quality class is class 2. Thus current river water quality does notfit the recomended river water quality. Current river water characteristic (class 4)is suitable for usage of irrigation, agriculture or other uses that require the samewater quality with these purposes. The spatial analysis of each river segmentpointed out that there was still dry land farming area in West Jakarta, South Jakarta,and Depok.ENV 042Determination of water quality status of Cisadane River based on watershedsegmentation. Hefni Effendi, Mursalin, Sri Muslimah, Prita Ayu Permatasari (BogorAgricultural University; [email protected]).According to PP 82/2001 the water class is divided into 4 classes. Class1 is the bestwater quality class as a source of raw water for drinking water, followed by class 2(water recreation), 3 (fisheries), and 4 (agriculture, irrigation). Determination ofwater quality status of Cisadane River based on watershed segmentation fromupstream in Bogor downstream in Tangerang. Determination of water qualitystatus of Cisadane River in 2013 based on Storet Index refering to class 1 and 2revealed that all segments of watersheds (upstream, middle and downstream) Program Book 78

The 4th International Symposium on LISAT 2017showed severe polluted category. Meanwhile, when referring to classes 3 and 4,the quality status of Cisadane River watershed was moderately polluted in theupper watershed segment and heavily polluted in the downstream watershedsegment. In 2014, there was a change in the quality status of Cisadane River waterquality, ie for class 3 the status of all segments was heavily polluted, for class 4 thestatus of all segments was moderately polluted. Meanwhile for class 1 and 2 thewater quality status of the Cisadane River was still heavily polluted for all segments.Landuse type, community behavior and industrial presence in each watershedsegment greatly affect the quality status of Cisadane River water quality.ENV 043Species Interaction Factor (SIF) Spatial Variation of Javan Rhino (Rhinocerossondaicus) and Banteng (Bos javanicus) in Ujung Kulon National Park. RoisMahmud, Agus Priyono Kartono, Lilik Budi Prasetyo (Bogor Agricultural University;[email protected]).Inter-specific interaction is an essential knowledge to be able to build a properpopulation and habitat management strategy. Inter-specific interaction (nichepartitioning and competition) of two species with the same resource needs wouldbecome a main consideration on the population management strategies applies forboth species. Especially when both species are priority species for conservationprogram. Previous studies concluded that there are potency of competitionbetween Javan rhino and Banteng for the same resource needs in Ujung KulonNational Park (UKNP). But recent study was failed to find the evidence ofcompetition between Javan rhino and Banteng using the definition of competitionby Birch (1957). The study assumed that level of competitions are the same for allarea of UKNP providing one value of Species Interaction Factor (SIF) to be used todetermine level of competition between Javan rhino and Banteng. We try toinvestigate the variation of SIF value for every camera trap site with assumptionthat level of competition will be varied with location in UKNP. Camera trap data of2013 were used in this study. Inter-specific interaction type is determined throughSIF that provided from conditional two-species occupancy model. Our result is thatSIF value varies between 0.75 (indication of avoidance = competition) and 1.42(indication or co-occurrence= co-existence). The result suggested that competitionbetween Javan rhino and Banteng is most likely happening in the area where SIFvalue less than 1 and co-existence is most likely happening in the area where SIFvalue higher than 1. We recommend to do a further study to prove the competitionand to find the factors contribute to the competition as a consideration to do aproper population and habitat management for Javan rhino and Banteng in UKNP. Program Book 79

The 4th International Symposium on LISAT 2017ENV 044The Difference of Characteristics of the Oceanic Mesoscale Convective Complexes(MCCs) and the Continental MCCs over Indonesian Maritime Continent.Trismidianto (National Institute of Aeronautics and Space (LAPAN);[email protected]).This study comprises an analysis of the climatology of mesoscale convectivecomplexes (MCCs) over the Indonesian Maritime Continent (IMC), identified byinfrared satellite imagery using an algorithm that combined information aboutcloud coverage, eccentricity, and the cloud lifetimes of MCCs, for the15-year periodfrom 2001 to 2015. Brightness temperature (TBB) is obtained from the Himawarigeneration satellite data. A total of 1028 MCCs were identified and tracked duringthe 15-year period from 2001 to 2015. Most of these MCCs were over thecontinental area, mainly near the mountains and the high elevation areas. Thegreatest frequency of distribution of the MCC over the IMC is the continental MCCthat reached 42.32. The oceanic MCCs, which lasted for more than 12 hours, werelonger-lived than the continental and coastal MCCs. Small-sized and large-sizedMCCs most frequently occurred over the continental area and the ocean,respectively. The MCCs over the IMC had an average cloud shield area of around315,000 km2. The peak of MCC occurrence over the IMC is during MAM witharound 33.56 and 25,29. The average duration of the MCCs over IMC wasapproximate ~9 .5 hours, and the maximum duration was 10 hours.ENV 045Analysis of Areas and Density Mangrove Ecosystem Condition for Management ofMarine Tourism Activity (Case Study at Southern and Southeast of Bali). DewiSusiloningtyas, Nabila Dety Utami, Tuty Handayani (University of Indonesia;[email protected]).Potential of marine tourism activity could be identified from mangrove ecosystemcondition at tourism areas. The research is measuring the quality of mangrove areaand thickness, then correlated with climate dynamics that occur. The spatialapproach is used to examine the distribution of mangroves in the coastal area ofSouthern and Southeast Bali, so the potential of marine tourism can be determinedprecisely to be able to maintain the sustainability. The purpose of this research isto analyze the patterns of spatial distribution of mangrove ecosystems for potentialof marine tourism by measuring the thickness of the mangrove area and based onthe quality of mangrove in the coastal area of Southern and Southeast Bali. Themethodology in this research is using survey method with statistical analysis andcorrelation map, through the interpretation of the imagery used in Remote Sensingtechniques. The results showed that the potential for marine tourism with hightourism economic benefits that are in one of the largest mangrove ecosystems that Program Book 80

The 4th International Symposium on LISAT 2017have relatively good quality. Indicators of high value mangrove ecosystemssignificant with a vast area and has a high density level.ENV 046The Impact of Land Use Change on Runoff Coefficient and Flood Discharge In Northof Jakarta Using Remote Sensing Techniques. Mifta Rangga Aditya, Rokhmatuloh,Revi Hernita (University of Indonesia; [email protected]).Rapid development in urban area as impact of high density population is always inline with land use change. Alternation of land use from permeable area intoimpermeable area has influence on reducing amount of rainfall which infiltrate intosoil and contribute to the increasing of runoff. This situation directly cause aninundation problem in North of Jakarta area and categorized as the most commonarea of flooding in 2015 by BNPB. This research explains a spatial distribution ofrunoff coefficient in North of Jakarta by applying rational hydrological model as oneinput in GIS analysis. Input of the model consists of land use area which extractedfrom satellite imaginary (Landsat 8), rainfall data, coefficient infiltration and soiltype. Rational hydrological method used to determine the impact of land usechanges in 2006, 2011 and 2016 on coefficient runoff and flood discharge. Theresult will be compared to analyze the spatial distribution of runoff coefficient andclass of the land use change are most affecting flood discharge in North of Jakarta.ENV 047Mesoscale Convective Complexes (MCCs) over the Indonesian MaritimeContinent during the ENSO events. Trismidianto, Haries Setyawardhana (NationalInstitute of Aeronautics and Space (LAPAN); [email protected]).This study analyzed the Mesoscale Convective Complexes (MCCs) over theIndonesian Maritime Continent (IMC) during the El Niño/Southern Oscillation(ENSO) events for the15-year period from 2001 to 2015. The MCCs identified byinfrared satellite imagery using an algorithm that combined information aboutcloud coverage, eccentricity, and the cloud lifetimes of MCCs. The data used is acombination of satellite data and reanalysis data, while the Brightness temperature(TBB) is obtained from the Himawari generation satellite data. During DJF seasons,the frequencies of the MCC occurrences at the El Niño and La Niña conditions washigher than that of Neutral conditions, but the size of MCCs at Neutral conditionwas larger than the other conditions. At the El Niño, the MCC occurrencesfrequently found spread in the southern of Sumatra and the Central Kalimantan. Atthe La Niña, the MCCs tended to spread in Indian Ocean and Java Sea, but alsofound concentrated in the Central Kalimantan. While at the neutral conditions, theMCCs spread evenly in the oceans and the mainland of Indonesian MaritimeContinent. The MCC occurrences in the Java Sea and Java Island are just found inthe Neutral and La Niña conditions. It is generally concluded that ENSO stronglyaffects the occurrence of MCC during the DJF season. The existences of the MCC Program Book 81

The 4th International Symposium on LISAT 2017were also accompanied by increased rainfall intensity at the locations of the MCCoccurrences for all ENSO events. The MCC occurrences at Neutral and La Niñacaused high rainfall in the Eastern Indian Ocean, whereas the MCC occurrences atEl Niño affected more rainfall in the mainland of southern Sumatra. During JJAseasons, the MCCs which concentrated in the Indian Ocean are not affected byENSO, whereas the MCC occurrences are always found during Neutral conditions,El Nino and La Nina.ENV 048Monitoring Urban Heat Profiles of Localized Urban Environment. Adi Wibowo*,Iqbal P.A. Shidiq, Khairulmaini o. Salleh (Dept. of Geography, FMIPA, UniversitasIndonesia; [email protected])University campus as part of urban like a city with small area had urban land usecover. This land covers generate heat signature as localizedurban environment. Theknowledge of localized urban environment as land cover and urban heat profiles inuniversity campus very limited, that’s importance to assessatmospheric heat profiles as related with localized urban environments. Theobjective is comparative assessment of land cover and its relationon urban heat signature and profiles in study area at Univ. of Malaya (UM) andUniv. of Indonesia (UI). This research used spatial-temporal analysis employedsatellite image in 2013-2015. This result concluded that spatial analysisthe Urban Heat profilesbetween UM and UI campus shown the same patternlike localized urban environment in UM and UI campus. Both UM campus and UIcampus found Heat Profiles related to vegetation covered with lowest temperatureand building covered with highest temperature. This result saw UHS with maxtemperature maximum >30 degrees Celsius at UM and UI Campus had positivetrend. This result had new knowledge of Urban HeatProfiles relatedto localized urban environment on university campuses.ENV 049Predicting drought propagation within peat layers using a three dimensionallyexplicit voxel-based model. Aryo Adhi Condro*, Hidayat Pawitan, Idung Risdiyanto(Bogor Agricultural University; [email protected])Peatlands are very vulnerable to widespread fires during dry seasons, due toavailability of aboveground fuel biomass on the surface and belowground fuelbiomass on the sub-surface. Hence,understanding drought propagation occurring within peat layers is crucial withregards to disaster mitigation activities onpeatlands. Using a three dimensionally explicit voxel-based model of peatlandhydrology, this study predicted drought propagation time lags into sub-surface peat layers after drought events occurrence on the surface of about 1month during La-Nina and 2.5 months during El-Nino. The study was carried out ona high-conservation-value area of oil palm plantation in West Kalimantan. Validityof the model was evaluated and its applicability for disaster mitigation wasdiscussed. The animations of simulated voxels are available at: goo.gl/HDRMYN (El- Program Book 82

The 4th International Symposium on LISAT 2017Nino 2015 episode) and goo.gl/g1sXPl (La-Nina 2016 episode). The model isavailable at: goo.gl/RiuMQz.ENV 050Determining critical ground water level to prevent degraded peatland from severepeat fire. Erianto Indra Putra*, Mark A. Cochrane, Yenni Vetrita, Bambang HeroSaharjo , Ati D. Nurhayati, and Laura Graham (Faculty of Forestry, Bogor AgriculturalUniversity; [email protected])Peat fires have been a serious recurrent problem for Indonesia, but droughtsaggravated burning conditions mainly during El Niño years when burning conditionsaggravate. To get a better understanding of this issue, we studied fire conditions ina portion of the ex-Mega Rice Project (MRP) area, Central Kalimantan. To examinefire season and hydrology factors affecting peat fires we analyzed daily TRMM data,Nino 3.4 SST Anomalies, and changing groundwater levels (GWL) from 300 dipwellsset up at Block A and E of MRP area. We conducted static DGPS Survey to provideexact peat surface elevation for these 300 dipwells. Our results adressed the deficitof GWL in the study area for the whole of the year, pointing the unnatural for thesystem and resulting in severe dry conditions for peat in the area, effectivelyextending the fire season when peat burning was possible. We found an average 1-month time lag between the period of lowest precipitation and the lowest GWL;provides some ability to predict fire risk in advance of the lowest GWL. Nino 3.4 STTAnomalies of any positive value should notice as significant risk factors for peat fireas they signify that the driest months may yield large fire occurrences. GWL in 2011is lower than 2012, but fires were more frequent in 2012. Wet season precipitation(November 2011-June 2012) was not sufficient to raise the water table high enoughto rewet the degraded peat in the study area, leaving the peat in a dry conditionearly in 2012. High risk of future fires in the area may exists due to the loss of thepeat’s future ability for absorbing and storing water. Most of fires occur in areaswith GWL less than -20 cm, indicating that fire is coincident with lower GWL,strongly illustrates the importance of maintaining high GWL, of more than 5 cm, toreduce fire risk and prevent degraded peatlands from experiencing surface peatfires and further devastating deep peat fires.ENV 051Contribution of Land Use Changes to Heavy Rainfall in the Greater Jakarta: 17January 2014 Event. Danang Eko Nuryanto*, Hidayat Pawitan, Rahmat Hidayat,Edvin Aldrian (Bogor Agricultural University; [email protected])The impact of land use changes on meteorological parameters during heavy rainfallevent on 17 January 2014 in the Greater Jakarta area are investigated using theWeather Research and Forecasting (WRF) model. This study conducted twoexperimental methods of simulation. The first WRF simulation uses default land use(CTL). The second simulation applies experiment by changing size of urban and builtup land use (SCE). The Global Forecast System (GFS) data is applied to the outermodel domain (9 km) in order to provide a more realistic and desirable initial andboundary conditions for the nested model domains (3 km, 1 km). The simulationsconducted for 6 days from 13 January 2014 00 UTC until 19 January 2014 00 UTC. Program Book 83

The 4th International Symposium on LISAT 2017Comparison of measured air temperature and rainfall pattern in the Greater Jakartaregion show a good agreement between observed and simulated data. The resultsindicate consistent significant contribution of urban development andaccompanying land use changes to air temperature and rainfall. According to themodel simulation, urban and built up land contributed about 6% in heavy rainfall inthe morning and about 0.2 degree of air temperature different. Simulations suggestnew urban developments caused an intensification and expansion of the areaexperiencing rainfall but mainly influenced morning rainfall with increase of up to10 mm.ENV 052Analysis The Climate Change Effects Into Rainfall Condition In Sambas District,East Kalimantan. Sinta Berliana Sipayung*, Amalia Nurlatifah, Bambang Siswanto(National Institute of Aeronautics and Space (LAPAN);[email protected])Climate change is one of the most important issues being discussed globally. This isdue to climate change caused by global warming (rising earth surface temperatures)and indirectly affecting the world climate cycle. In this research will discuss how theeffect of climate change on changes in rainfall conditions in Sambas District andpredicted future rainfall conditions due to climate change. The data used are CRUthat has been validated using insitu data. This research also was done by doingClimate Modelling and Prediction using CCAM (conformal cubic atmospheric model)which also validated by insitu data. The results of the research show thattemperature trends in Sambas regency increased by about 0.082 oC/yr from 1991-2014 according to CRU data. This high temperatures triggered changes in rainfallpatterns in Sambas District. This is because the temperature can change theconvection pattern in the atmosphere so that temperature changes can change thepattern of rainfall. Rainfall pattern in Sambas District itself has an equatorial typewhere the peak of rainfall occurs when the sun is right on the equator. Rainfall inSambas itself reaches the maximum in March and September when the equinoxoccurs. The CCAM model is used to project rainfall conditions in Sambas District inthe future. This model has good results when it is validated with insitu data. Themodel results show that rainfall in Sambas District is projected to increase around7 mm/month until 2069..ENV 053Distribution of Total Suspended Solid and Chlorophyll-a Concentration impactedby Reclamation in Jakarta Bay. Herlambang D Setiawan, Agustinus M Samosir*,Hadiana (Bogor Agricultural University; [email protected])Reclamation expected has the influence to total suspended solid (TSS)concentration and chlorophyll-a. This research aims to mapping of TSS distributionand chlorophyll-a pre and post reclamation in Jakarta Bay using the remote sensing.These estimation were done by image processing data P3SLDP (2014) andobservation 2016. The method used to TSS is algorithm Muttaqin 2015 andchlorophyll-a is algorithm wouthuyzen 1997. The image processing explains that TSS Program Book 84

The 4th International Symposium on LISAT 2017concentration 27.615 mg/l in 2014 and 27.42 mg/l in 2016. On the other hand,chlorophyll-a concentration occurred decrease from 5.795 mg/m3 in 2014 to 5.77mg/m3 2016. As the result, TSS concentration spatially experienced accumulationin the eastern and chlorophyll-a in the eastern of Jakarta. The main reason thatinfluenced is the flowing water in reclamation island.ENV 054Seasonal Variability of Convectively Coupled Equatorial Waves (CCEWs) in RecentHigh-Top CMIP5 Models. Dzaki Zakaria*, Sandro Lubis, Sonni Setiawan (BogorAgricultural University; [email protected])Tropical weather system is controlled by periodic atmospheric disturbances rangingfrom daily to subseasonal time scales. One of the most prominent distrubances areconvectively coupled equatorial waves (CCEWs). The CCEWs, including Kelvin, MixRosby Gravity (MRG), Equatorial Rossby (ER) and Tropical Depression (TD-type), areexcited by diabatic heating due to a large-scale convection system and have asignificant influence on weather system. In this study, we will evaluate the seasonalvariability of CCEW activity in high-top model CMIP5, including their spatialdistribution in the troposphere. Our results indicate that seasonal variability ofKelvin waves is well represented in MPI-ESM-LR and MPI-ESM-MR, with maximumactivity occuring during boreal spring. The seasonal variability of MRG waves is wellsimulated in CanESM2, HadGEM2-CC, IPSL-CM5A-LR and IPSL-CM5A-MR, withmaximum activity observed during boreal summer. On the other hand, ER wavesare well represented by CanESM2, HadGEM2-CC, IPSL-CM5A-LR and IPSL-CM5A-MRand maximized during boreal spring; while TD-type waves are well observed inCanESM2, HadGEM2-CC, PSL-CM5A-LR and IPSL-CM5A-MR, with maximum activityobserved during boreal summer. Our results indicate that the capability of CMIP5models in representing seasonal variability of CCEWs highly depends on theconvective (cumulus) parameterization and the resolution used by the models.ENV 055Assimilation of Observational Data with WRF 3DVAR and Its Impact on thePrediction of a Heavy Rainfall Event in Denpasar. Nenden Wardani* (State Collegeof Meteorology Climatology and Geophysics (STMKG); [email protected])To accommodate accurate analyses and forecasts of a heavy rainfall event overDenpasar, the authors assimilated the observational data by using the WeatherResearch and Forecasting Model (WRF) and its three-dimensional variational dataassimilation system (3DVAR). The NCEP GFS 0.25 Degree Global Forecast GridsHistorical Archive datasets applied to a data assimilation experiment using actualobservations of a heavy rainfall event. The selected case was from February 3rd2016, which intensively hit the shoutern part of the Denpasar with record-breakingrainfall. Assimilation was conducted with a horizontal resolution of 3 km. This studydiscusses the capability of the WRF model without assimilation and the assimilationWRF model using actual observations data in heavy rainfall event prediction inDenpasar. The analysis was done qualitatively by checking the prediction value ofthe spatial reflectivity and quantitatively checking the distibution of rainfall as wellby testing the skill and reliability of the model without observation data. The result Program Book 85

The 4th International Symposium on LISAT 2017showed that the prediction value of the radar spatial reflectively and thedistribution of the spatial rainfall by the observational data assimilation modelagaints the numerical WRF model without assimilation, has improved.ENV 056Hazard Manajemen in Karang Hawu Beach, Sukabumi Distric, West Java. Sofia UcuUtami*, E.K.S Harini Muntasib, Agustinus M Samosir (Bogor Agricultural University;[email protected])Karang Hawu Beach, obtained its name from its furnace-shaped coral, is one ofleading tourist attraction in Palabuhan Ratu, Sukabumi, West Java. The beach,having natural panorama of reefs jutting into the sea, has attracted many visitors,up to 1.7 million of visitors per year. Despite its great tourism attractions, accidentare often occured, caused by hazard potentials of the area. This research, aimed toprovide hazard mapping and management recommendation. This research usedobservation, litelature study and interview method to collect data, UNEP 2008 andcriteria to evaluate hazard, ArcGIS 10.3, using GPS for point of hazard potensial andMap of Rupa Bumi Indonesia to map hazard. Hazard risk in Karang Hawu Beachconsisted of physical hazard i.e plunging breaker, current rip, tides, tsunami andearthquake and biological hazard i.ereef, sea urchin, and jellyfish. Hazardmanagement in the region was managed by many parties including Balawista,government and local community, under the supervision of the Tourism, Civilizationand Sport Agenal of Sukabumi District. Results of the analysis showed that thecurrent rip and plunging breakerhadthe highest value of hazard risk. Risk reductionmanagement recommended for both hazard was avoiding risk. Both social andinstitutional management should be developed through improvement ofunderstanding of potensial hazard. Technical measures that should be taken toreduce the risk included providing first aid, using red flag to mark hazardous area,raising visitors’ awareness toward hazard, and setting safe area for visitors.ENV 057Utilization of Upper Air Data Assimilation to WRF Forecasts. Richard MahendraPutra* (State College of Meteorology Climatology and Geophysics (STMKG);[email protected])Utilization of WRF is capable for predicting the atmospheric conditions in the future.However there are some errors in this model. So correction is required using actualobservation data. This research uses 3DVAR method for assimilation of data input.The assimilation data used is the upper air data (sounding data) around domainarea. Parameterization that used in this research is the cumulus scheme of Kain -Fritcsh. According to the results of WRF output that compared with the weatherradar observation in Surabaya, the similarity of the spatial rainfall is better whenthe upper air data assimilation used than the result without assimilation. Inaddition, point verification is also done by comparing the results of the WRF modeloutput with the surface observation from Juanda Meteorological Station ofSurabaya. WRF outputs assimilated with upper air data have a higher correlation Program Book 86

The 4th International Symposium on LISAT 2017and accuracy. This proves that the Assimilation Data sounding method will improvethe quality of WRFforecasts.ENV 058Spatial Conflict Of Mining Land Versus Plantation Land In Tolitoli District, CentralSulawesi Province. Yatin Suwarno*, (Geospatial Information Agency;[email protected])Spatial Planning of Tolitoli District has been legalized in the Regulation TolitoliDistrict No. 16 of 2012, with a validity period of 20 years (2012 - 2032). Spatial issupposed to be a god in the use of space, so there will be no overlapping spaceutilization. In fact, there is still overlapping land use, between the area of miningland and plantation land, as well as with forest areas. The purpose of this study isto determine the conflicts that occur due to overlapping holders of Mining BusinessPermit with Plantation Business Permit, also to protected areas and productionforest areas in Tolitoli District. The method used is the overlay (union) in GeographicInformation System between the map of Mining Business Permit with Map ofPlantation Business Permit, and Forest Area Map to know its spatial relationship. InTolitoli District there are 23 mining business permit holders with 7 types of miningcommodities (gold, copper, molybdem, iron ore, galena, manganese, and granite),totaling 81,503.54 Hectare. In addition, in Tolitoli Regency, there are 5 companiesholding plantation business permit, most of their palm oil, only 2 companies withrubber and sengon wood business commodities with a total area of 80,005.35Hectare. From the result of spatial analysis, it is known that there is an overlappingarea of 22,869.70 Hectare (16.23%), while the area of 118,072.93 Hectare (83.77%)does not overlap. The Mining Business Permit overlaps with the Plantation BusinessPermit covering an area of 18,153.31 Hectare, located in Forest Protected Area andcovering an area of 2,317.09 Hectare located in Nature Reserve / NatureConservation Area.ENV 059Detection of Mesoscale Convective Complexes Using Multispectral RGBTechnique of Himawari-8 (Case Study: Jakarta, 20 February 2017). Ibnufatkhuroyan*,Trinah Wati Agency of meteorology, climatology and geophysycs ofIndonesia; [email protected])Mesoscale Convective Complexes (MCC) is a well-organized convective cloud thathas big size and long lifetime. The aim of the research is to detect and to monitorthe development of MCC around Jakarta on 20th February 2017 using satelliteHimawari-8. The used method is by analyze the infrared channel and multispectralimagery RGB Technique to monitor the development of radiative, morphology andcloud position which describe the cloud top microphysics, structure and movement.It shows that there are many dense-clouds with small ice particle and cloud toptemperature could be < -50 0C which can be seen as red and yellow dot color byRGB Technique. Moreover, It caused severe storm at Jakarta and its surroundingarea. Program Book 87

The 4th International Symposium on LISAT 2017ENV 060Assessment of the impact of climate change and land cover change on landslidein Tana Toraja District. Muhammad Ardiansyah*, Rizaldi Boer, Alwan Rafiuddin(Center for Climate Risk and Opportunity Management in Southeast Asia and Pacific,Bogor Agricultural University; [email protected])The IPCC’s Fifth Assessment Report stated that warming of the global climate isclear, and since the 1950s, many of the observed changes are unprecedented overdecades to millennia. The period from 1983 to 2012 was very likely the warmest 30-year period of the last 800 years in the Northern Hemisphere. The globally averagedland and ocean surface temperature data show a warming of 0.85 (0.65 to 1.06) °Cover the period 1880 to 2012. The human influenced climate changes have hadwidespread impacts on human and natural systems such landslide.Landslides are the frequent and widespread climate hazard in Tana Toraja Districtthat cause loss of human life and damage to property. In the hilly and mountainousterrain where the Tana Toraja located, it created a large number of landslides, whilethe plains were affected by overflowing rivers banks caused by floods. Throughoutthe year 2016 there ware at least 6 (six) occurrences of landslides causing fall victimand disconnection of transportation access. The main tool for assessing landsliderisk relies on rainfall thresholds in addition to other important factors. In the futurethe frequency and intensity of increased rainfall due to climate change will triggerlandslides causing many landslide fatalities. We predict an increase in the numberof area in Tana Toraja District exposed to landslide risk.In the period from 2000 to 2014, area of forest cover decreased by about 1.6% andit will continue to decline over the period 2014-2031 with total loss of about 3.82%.With better forest cover, proportion of rainfall intercepted by the canopy will behigh and this will be evaporated back to the atmosphere, so less portion of therainfall reaches soil surface. A number of studies found that the canopyinterception loss may account for 10-50% of season-long or annual rainfall. Thus ifthe forest cover of an upstream area decreases, more part of the rainfall will mostlybe a direct surface flow and can cause landslides in the upstream area.In this study, we assessed the impact of climate change and land cover/use changeon landslide hazard in the TanaToraja District. The historical/observed rainfall andthe land cover of 2014 was used to generate baseline landslide risk, while the outputof RegCM4.3 with RCP-8.5 scenario and the CLUE-S model were used for obtainingthe future monthly rainfall and the future land cover of 2031. The landslide methoduses an approach developed by the Ministry of Agriculture (2004), which iscommonly used in Indonesia, especially in the agricultural sector. The keyparameters used to calculate landslide hazard were slope, rainfall, land cover, rocktype, soil texture, and elevation. By comparing results obtained for two differentperiods 2000-2014 (baseline) and 2014-2031, a general increase in landslides wasexpected in the Tana Toraja District for the future period, mainly during the rainyseason. The study showed that in the period of 2000-2014 the number of landslidearea with high risk was 53.3% and very high risk 14.4%, while in the period 2014-2031 the high risk 56.4% and very high risk 12.7%. Thus, in high climate risk area, Program Book 88

The 4th International Symposium on LISAT 2017landslide adaptation and risk reduction strategies in the framework of climatechange are necessary.ENV 061Spatial Model of Land Use Changes Related to Sediment Yield (Case Study: Ci Pelesand Ci Lutung Watershed, West Java. Dian Wahyu Wulandari*, Eko Kusratmoko,Tito Latif Indra (University of Indonesia; [email protected])Land use changes as a result of increasing human need for space are likely to destroythe hydrological function of the watershed, increase landdegradation, stimulateerosion and drive the process of sedimentation. This study aimed to predict landuse changes during the period 1990 to 2030 in relation to sediment yield in CiLutung and Ci Peles Watershed, West Java. To do so, land use changes weresimulated following the model of Cellular Automata-Marcov Chain whereas landuse composition in 2030 was predicted using Land Change Modeler Package onIdrisi Selva Software. Elevation, slope, distance from road, distance from river, anddistance from settlement were selected as driving factors for landuse changes inthis study. Meanwhile, erosion and sediment yield were predicted using WATEM /SEDEM Model based on physical factors including land use, rainfall, soil texture andtopography. The results showed that the areas of forest and shrub have slightlydeclined up to 5 in 2030. On the other hand, there would be a significant fall in thenumber of forests, shrubs, dryland farming areas and water bodies up to 38% in2030 as predicted by the model. Furthermore, the study also revealed that erosionand sediment yield tend to increase every year. This is likely associated with landuse changes occurring in Ci Peles and Ci Lutung Watershed. Spatially, forest areasand shrubs which are converted into dryland farming areas seem to have higherosion and sediment yield due to the nature of dryland farming as the cause oferosion..ENV 062Identification and Delineation of Flood Hazard Areas with Spatial Modeling UsingHigh-accuracy DEM Data in Karawang Regency. Bambang Riadi*, BabaBarus,Widiatmaka, Moh Yanuar JP, Bambang Pramudya (Bogor AgriculturalUniversity; [email protected])Frequent flooding is caused by Citarum River and other rivers that are unable toaccommodate the flow of surface water, resulting in a flood of water that floodedthe area around the river. For the purpose of flood mitigation the expectation is ontechnology that can predict, anticipate and reduce the risk of a disaster. Floodmodeling techniques built using Digital Elevation Model (DEM) data is one of themethods that can be applied in mitigation activities. The better accuracy of DEMdata used will result in better flooding models. DEM data gives the appearance ofthe landform caused by natural processes that have composition with physical andvisual characteristics such as plains, hollows, hills and mountains. From DEM data itis possible to generate information about the ground surface morphology used inhydrological prediction. The use of TerraSAR-X DEM data, which is a high-resolutionradar data from TerraSAR-X satellites has the potential to be used for detection ofwetland as it is sensitive to soil moisture. The Topographic Wetness Index (TWI) Program Book 89

The 4th International Symposium on LISAT 2017method is used to detect and identify locations that are prone to floodhazards. Thispaper focuses on the Topographic Wetness Index (TWI) with the DEM data analysismodel. The result of TWI modeling is then correlated with land cover condition fromTasseled Cap Transformation (TCT) analysis process of Landsat-8 image, indicatingthat the Karawang regency that is prone to flood is the rice fields area.ENV 063Study of Convective Evolution and Rain Estimation Using Weather Radar SinglePolarisation. Clara Avila Dea Permata*, Kartika Akib, Wulan Wandarana, LaksitaWidomurti (State College of Meteorology Climatology and Geophysics(STMKG);[email protected])Doppler weather radar is one of the weather observation instruments in real time.Weather radar can produce various derived product for rainfall estimation andmonitor the phases of cloud growth. The research was conducted to find out thebest product in estimating rainfall in Bima region and on phase cloud conditionwhether maximum rainfall was produced by case study of flood incident in Bima on21 and 23 December 2016. The method used is comparing mean error, meanabsolute error, and the correlation of output of radar rainfall estimation productwith observation data of post observation rain in Bima region. The cloud growthphase is analyzed from the output of vertical wind values in which the growingphase is marked by updraft dominance, the maturity phase is combined of theupdraft and downdraft, and the dissipation phase is dominated downdraft. Eachphase is then compared with the product of time series rainfall estimation radar.The results showed that the best product in estimating rainfall is the PAC productderived from SRI products, and the phase that produces the maximum rainfall is themature phase. Furthermore, the results of this study can be used as a reference forflood forecasts.ENV 064Morphodynamic of Pemali River Delta, Central Java, Indonesia: An AssesmentUsing Remote Sensing and GIS. Eko Kusratmoko*, Nining Fatmawati (University ofIndonesia; [email protected])Delta is the most dynamic part of large rivers. Changes in the morphology and widedelta are influenced by changes in land use, river flow, riversediment load, coastalmorphology, currents, waves, and tides. Monitoring the delta change is needed forbetter coastal management. This study was conducted to assess the morphologicalchanges of the Pemali River delta from 2004 to 2015 and determine the factors thatinfluence it. Multi-temporal Landsat imageries are used to identify the changes anddevelopments of delta over a period of 11 years. In this paper, we discussmorphological changes of the Delta in relation to important factors, such as landcover change, sediment load, coastal morphology and oceanographic conditions.Results showed that the shape and extent of the River Pemali delta have changed.The shape of Delta changed from Elongate to Bird-foot and the delta areasincreased by 454 Ha. Spatially, the development of the Pemali river Delta wasdifferent. In the eastern part, the delta expansion is dominated by the influence offluvial factors that are high sediment load and the change of river channel, both Program Book 90

The 4th International Symposium on LISAT 2017natural and modified. Meanwhile, in the western part, the delta area tends todecrease due to oceanographic factor, particularly the ocean currents.ENV 065Comparison of GFS (Global Forecast System) Data and FNL (Final Analysis) Datafor Identifying Tropical Cyclones Frances in Arafura Sea April 27th, 2017. Ayu VistaWulandari*, Dewi Sinaga (State College of Meteorology Climatology and Geophysics(STMKG); [email protected])Tropical cyclone is one of disturbance form that occurs in the tropics. Generallytropical cyclones are formed in warm waters such as territorial waters of Indonesia,but can not form in the equator because of the small coriolis effect in that region.Tropical cyclone causes extreme weather in the region as it passes such as highrainfall, gusty, and high sea waves. This research is aimed to determine TropicalCyclone Frances that occurred in Arafura Sea on April 27th, 2017. The used data isGFS (Global Forecast System) data which is processed with WRF-ARW (WeatherResearch and Forecasting - Advanced Research Weather) model and verified by FNL(Final Analysis) data and Himawari-8 infrared channel data. The used parametersare wind at level 925 mb, pressure at level 925 mb, vorticity, and sea surfacetemperature. The results from the GFS data showed well-matched enough with theFNL data and supported by the results of the Himawari-8 satellite image. From thisstudy, it can be assumed that using GFS data is quite capable to discover TropicalCyclone Frances in the Arafura Sea.ENV 066Green Space Development Priority Based on Distribution of Air Pollutants andSurface Temperature in Bogor. February Tsamaniyah Asharah Ramadhan*, LilikBudi Prasetyo, Siti Badriyah Rushayati (Bogor Agricultural University;[email protected])One of the objectives of Sustainable Development Goals is the improvement ofenvironmental quality that aligned with the National Medium-Term DevelopmentPlan. Bogor with high accessibility of the national activity center tends to cause adecrease of environmental quality. This research was conducted to determine thepriority areas of green space development based on the distribution of airpollutants and surfacetemperature and to analyze the potential of green space inBogor using the GIS. Determination of priority areas using air pollutants andsurfacetemperature variables are then classified into 3 priority classes. The analysisresults stated that the priority areas in the first class is 2193.30 ha (0.73), and thirdclass is 150 985.17 (50.52%). The availability of green space in the first priority classis 13.51 ha, second priority class is 72.23 ha, and the third priority class is 59.20 hawhich are has the potential to be developed as green space in Bogor. Green spaceis expected to be one effort to avoid the degradation of environmental quality inBogor. Program Book 91

The 4th International Symposium on LISAT 2017ENV 067Dynamics of Urban Heat Island and its Relation to the Role of Vegetation inReducing the Air Temperature in Jakarta. Annisa Dyra Shamila*, Siti BadriyahRushayati, Lilik Budi Prasetyo Bogor Agricultural University;[email protected])Development activities in Jakarta caused environmental changes. The increasingbuilt-up areas and declining green open space has increased air temperature andcauses Urban Heat Island (UHI). Remote sensing methods can be used to calculateland cover changes and airtemperature distribution of Jakarta City and itssurrounding in 1989 - 2014. This research aimed to identify the dynamics of urbanheat islandbased on land cover and air temperature in Jakarta years 1989 - 2014and identify the role of vegetation in reducing air temperature using Landsat 5 TMof 1989 and Landsat 8 OLI/TIRS of 2014. The results shows that UHI pattern at 8-point wind direction have different results but as a whole has a high temperature inJakarta (urban area) than surrounding areas (suburban and rural areas). Theaverage temperature in built-up area that located around tree vegetation is lowerabout 1.6 oC (in 1989) and 2.4 oC (in 2014) than not being around tree vegetation.ENV 068Landuse Change Identification Using SPOT 6 for Food Security Analysis ofDenpasar City, Bali Province, Indonesia. Niendyawati Supardan*, WiwinAmbarwulan, Murdaningsih Panularsih (Geospatial Information Agency;[email protected])Land use change, known as partial or complete conversion from the originalfunction to other functions, is common in Indonesia, including Bali, especially landconversion from paddy field to other uses. This phenomenon causes seriousproblems in the future, so government awareness is needed immediately. Based onstatistics data of Bali 2015, the area of rice fields continues to decline every year,both irrigated and rain-fed rice fields. This condition can be understood, becausethe island of Bali in particular Denpasar is one of the world's tourist destinations, somany reasons to convert agricultural land into other functions such as housing,hotels and other purposes. This study was conducted to analyze land use changeand its impact on food security in Denpasar. Land use change dynamics can beobserved by multi-temporal land use changes. The data used in this study consistedof spatial and non-spatial data. GIS analysis was performed to obtain spatial landuse changes in the study area by using topographic map 1: 25,000 with data sources2002 and land cover classification of SPOT 6 image acquisition 2015. The results ofGIS analysis indicate that settlement and built up area increased by 1,736 hectaresand the area of rice field decreased by 1,695 hectares during 13 years. Theincreasing of settlement rate was 133,5 ha / year and the decreasing of rice fieldwas 130 ha / year. Meanwhile, the result of food availability analysis shows that theDenpasar city still deficit of rice amount 58,638.6 tons in 2014, and 129,496.5 tonsin 2015 or only fulfill about 24% of food requirement. This figure indicate thatdecreasing of rice field will affect to increase food deficiency of the region becausethe population tends to increase from time to time. Land use change identification Program Book 92

The 4th International Symposium on LISAT 2017by using SPOT imagery and statistical data can support for problems solving relatedwith food security problem.ENV 069Analysis of Vegetation Changes In Cidanau Watershed, Indonesia. Rahmi NurKhairiah*, Yoshino Kunihiko, Lilik Budi Prasetyo, Yudi Setiawan (Bogor AgriculturalUniversity; [email protected])Vegetation change detection is needed for conserve of quality and water cycle inCidanau watershed. The NDVI was applied to quantify the vegetation changes ofCidanau watershed for three different years 1989, 2001, and 2015. Using NDVI wemapped the reflectance from chlorophyll and distinguished varying amounts ofvegetation at the pixel level by index. In the present study, as a preliminary study,we proposed a vegetation change detection analysis based on the NDVI from 1989through 2015. Multitemporal satellite data i.e. Landsat imagery with 30 m spatialresolution are used in the present study. It is reported that agroforestry landexhibited the greatest reductions in highly dense vegetationclass in 1989-2001 andalso moderate vegetation class in 2001-2015. It’s mean that amount of vegetationpresent in agroforestry land is getting lower year by year.ENV 070Measuring forest loss using remote sensing and managing “zero deforestation” inGunung Palung National Park, West Kalimantan, Indonesia. Nurul Ihsan Fawzi,Vina Nurul Husna* (Bogor Agricultural University; [email protected])Gunung Palung National Park located at 1o3’ – 1o22’ south and 109o54’ – 110o28’east. This area become natural reserved in 1937 with total area 108,000 ha, andnow become one of the largest remaining primary lowland mixed dipterocarp foreston Borneo. The aim of this research is to monitor deforestation in protected areaand find a way to stop this deforestation. To monitor forest cover change, we used11 multi-temporal Landsat series images path/row 121/61. The result, we founddeforestation declined to its lowest level since measurement began in 1989, toaround 200 ha/year. That corresponds to an annual deforestation rate of 0.23 lessthan peak deforestation in 2002, over 60 lower than average rates across Borneo.To stop this deforestation in protected area, we should finding way for communitiesto meet their needs without resorting to forest clearing or we fight deforestation atits source by tackling its underlying economic and social causes.ENV 072Hydrological Similarity Approach and Rainfall Satellite Utilization for Mini HydroPower Dam Basic Design (Case Study on The Ungauged Catchment at WestBorneo, Indonesia). Wahyu Gendam Prakoso*, Kukuh Murtilaksono, Suria DarmaTarigan (Bogor Agricultural University; [email protected])An Approach to flow duration and flood design estimation on the ungaugedcatchment with no rainfall and discharge data availability was been developing withhydrological modeling including rainfall run off model implemented with the Program Book 93

The 4th International Symposium on LISAT 2017watershed characteristic data set. Near real time Rainfall data from Multi satelliteplatform, e.g TRMM can be utilized for regionalization approach on the ungaugedcatchment. Watershed hydrologically similarity analysis was conducted including allof the major watersheds in Borneo which was predicted to be hydrologically similarwith the Nanga Raun watershed. Nanga Raun watershed is situated in theheadwaters of Kapuas River. It was found that a satisfactory hydrological modelcalibration could be achieved using catchment weighted time series of TRMM dailyrainfalldata, performed on nearby catchment deemed to be sufficiently similar toNanga Raun catchment in hydrological terms, with RMSE value respectively 4,257%.Relatively reliable flow duration curve and extreme discharge value estimation wereproduced with reasonable several limitations e.g limited length of TRMM data,hydrological similarity analysis limited in the hydrological terms only that means donot covers the whole of the rainfall run off physical process. A further approach maybe performed with some novel approach like downscaling of a global climate model.ENV 073Estimation of Carbon Emission from Peatland Fires using Landsat-8 OLI Imagery InSiak District, Riau Province. Dinda Aisyah Fadhillah Hafni, Lailan Syaufina, NiningPuspaningsih, Indah Prasasti (Bogor Agricultural University;[email protected])The study was conducted in three land cover conditions (secondary peat forest,shrub land, and palm plantation) that were burned in the Siak District, RiauProvince, Indonesia year 2015. Measurement and calculation carbon emission fromsoil and vegetation of peatland should be done accurately to be implemented onclimate change mitigation or greenhouse gases mitigation. The objective of thestudy was to estimate the carbon emission caused peatland fires in the Siak District,Riau Province, Indonesia year 2015. Estimated carbon emissions were performedusing visual method and digital method. The visual method was a method that useson-screen digitization assisted by hotspot data, the presence of smoke, and firesuppression data. The digital method was a method that uses the Normalized BurnRatio (NBR) index. The estimated carbon emissions were calculated using theequation that was developed from IPCC 2006 in Verified Carbon Standard 2015. Theresults showed that the estimation of carbon emissions from fires from above thepeat soil surface were higher than the carbon emissions from the peat soil. Carbonemissions above the peat soil surface of 1376.51 ton C/ha were obtained by visualmethod while 3984.33 ton C/ha were obtained by digital method. Peatland carbonemissions of 6.6 x 10-4 ton C/ha were obtained by visual method, whereas 2.84 x10-3 ton C/ha was obtained by digital method. Visual method and digital methodusing remote sensing must be combined and developed in order to carbon emissionvalues will be more accurate. Program Book 94

The 4th International Symposium on LISAT 2017ENV 074The Impact Of Climate Change On Toba Lake Water Level Decline. Hendri Irwandi*,Nikita Pusparini, Joko Yulianto Ariantono, Qurrata A’yun Kartika (Indonesian Agencyfor Meteorology Climatology and Geophysics (BMKG); [email protected])Lake Toba area is a National Strategic Area that has a multi-sector role, for the localcommunities, national, and even international benefits. The area of Lake Toba is thecenter of tourism in North Sumatra, which is well known to the foreign tourists. In2016, there has been a decline in Lake Toba water level up to 1.5-2 m. This conditioncaused a decrease in water debit of Lake Toba which disrupted the water supply forthe hydroelectric power plant. In this study, we conducted the analysis of climateparameters, especially the rainfall of Lake Toba Water Catchment, which wasrepresented by 15 stations / climate post with the data period of 1981-2016.Statistical analysis was conducted to analyze rainfall data and Lake Toba water level.There was a significant relationship between rainfall and Lake Toba water level withcorrelation ranged from 0.2-0.7. In 2016, there was a significant decrease in rainfallup to 31% against the normal condition. Decrease in rainfall contributes to thedecline of Lake Toba water level.ENV 075Identification Sand Mining Area Using Optical And Sar Data. Novie Indriasari*, EkoKusratmoko, Tito Latif Indra (University of Indonesia; [email protected])Cimalaka distrct have a long story of sand minning since 1983. This activity has beenchanged landuse to abandoned quarry. This paper shows a study to identify sandminning area using optical sattelite sensor and SAR data. Landsat time series datawill be processed using Tasseled Cap Transformation to see the development ofsand minning area. The surface of abandoned quarry will be reviewed through ALOSPALSAR data using interferometry method.ENV 076Carbon Stock Prediction in North Sumatera Province Using Land Change Modeler.Soraya Nurul Ichwani*, Rina Wulandari (PT Hatfield Indonesia;[email protected])Nowadays, carbon stock is a critical issues for environmental management since itis related to land cover change, especially forest cover. Forest decrease will be equalto carbon stock. This study has been done to predict the carbon stock in NorthSumatera as one way to manage the area. By using Land Change Modeler fromTerrset, we can evaluate the carbon stock in the future. We used two scenario tocompare the results, they are Business as Usual (BAU) scenario and Protectionscenario. The results show that the province will lose the carbon stock up to 24million tons in year 2037 by using BAU scenario. On the other hand, by usingProtection scenario the total emission is about 5 milion tons in the same period,which means it could save about 18.5 million tons carbon. It shows that theprotection scenario will reduce the carbon loss. Program Book 95

The 4th International Symposium on LISAT 2017ENV 077Study of Drought Dynamics in Lombok Island with Remote Sensing Approach usingMODIS Satellite Imagery. Andreas Vetra*, Dr. Endah Sulistyawati (BandungInstitute of Technology; [email protected])Drought is a complex phenomenon which occurs slowly and in a relatively long timecan threaten the survival of the organism. In 2015, there were 47% provinces inIndonesia experienced drought. Lombok Island is one of the areas that are underthreat annual drought. This is demonstrated by lack of the total water content inland surface and precipitation are distributed unevenly therefore affect the state ofthe ecosystem. Ecosystem has ability to store solar energy that converted into plantbiomass, called primary productivity. The phenomenon of drought can reduceprimary productivity by affecting the activity of photosynthesis. This study aimed(1) to describe the drought distribution of Lombok Island in 2010-2015, (2) studythe role of land cover against drought phenomena, and (3) describe the relationbetween phenomenon of drought and the gross primary productivity (GPP). Thisstudy brings an overview of the relationship of drought with the ecologicalprocesses such as land cover types and primary productivity in ecosystems usingRemote Sensing Approach. Level of drought is expressed by the Vegetation HealthIndex (VHI) which calculated by data products (Normalized Difference VegetationIndex (NDVI) and Land Surface Temperature (LST)), from Moderate ResolutionImaging Spectrometer (MODIS) satellite imagery. The result shows that during2010-2015, average area that affected by drought in Lombok island is 624 km2 andthe distribution are mostly found in the region of Central Lombok and East Lombok.Land cover type which less likely to experience drought is Evergreen BroadleafForest while Croplands is type of land cover which is prone to drought on the islandof Lombok. During the study period, it can be shown that the drought in LombokIsland has an effect on biological productivity of land. Gross primary productivitytend to decrease with increasing levels of drought.ENV 078Impact Of Urban Heat Island On The Heavy Rain Event In The Urban Area: CaseStudy February 20, 2017 In Bandar Lampung. Devi Fatmasari* (State College ofMeteorology Climatology and Geophysics (STMKG); [email protected])To determine the effect of Urban Heat Island (UHI) on the occurrence of heavy rainin Bandar Lampung on February 20, 2017, the Weather Research and Forecasting(WRF) which is a meso scale model, coupled with the model with NOAH surfacemodel and urban canopy model (UCM) was used in this study. WRF simulation isused to examine the sensitivity of rain distribution in and around Bandar Lampungcity by using different urban physics surface representation and different gridresolution also used for each model. In the area of Bandar Lampungoccuredpeturbation at surface air temperature and the specific humidity that bring air massflow to this area which is finally caused air mass convergence or convergence zone.This convergence zone creat favorable condition for deep convection and causesthe development of convective clouds that produce heavy rain. The simulationresults show that UHI has an important role in the distribution of rain. The analysis Program Book 96

The 4th International Symposium on LISAT 2017using data model and satellite data, also GSMaP data shows relatively appropriateresults, especially for smaller grid resolution and the use of single layer UCM landsurface. The simulation results also show that there is little difference in the outputof each simulation performed on large scale heavy rain. Single-layer urban canopymodel and the NOAH land surface models with different grid resolutions adequatelycapture the dominant feature of this heavy rain over in urban areas.ENV 079Development of BMKG Wildfire Product Based on Himawari 8 GeostationarySatellite Data to Detect Land and Forest Fires in Indonesia. Alpon Sepriando*, BonySeptian Pandjaitan, Tyas T. Pujiastuti (Indonesia Meteorological, Climatological, andGeophysical Agency; [email protected])Polar orbiting environment satellite such as MODIS aboard Terra-Aqua has beenwidely utilized for hotspot/firespot detection in Indonesia. However, hotspot dataacquired by MODIS has relatively low temporal resolution with several hour timeLag from observation time made it unlikely possible for capturing real time data.The unreachable area due to its limited swath were also remained unsolvedproblem in hotspot detection by polar satellites. In contrast, the geostationarysatellite such as Himawari-8 with AHI onboard, can provide continues and near realtime observation over Indonesian region. The AHI instrument has 16 channelsproviding observation at 500 m – 2 km spatial resolution every 10 minutes. In thisstudy, we introduce Himawari-8 wildfire detection product which is developed andproduced by BMKG using Himawari-8 datareceived directly in near real time fromJMA (Japan Meteorological Agency) through Himawari cloud system. The algorithmbuilt by combined existing several hotspot detection algorithm using polar (Terra-Aqua) and geostationary (Meteosat) satellites. This algorithm included cloud andsun glint filtering, and day/night time determination conducted using solar zenithangle. The algorithm is also consisted of the threshold's value of IR3.8 micron todetermine fire potential pixel, IR3.8 micron standard deviation of fire potential pixelagaints 1 grid in surrounding area, and IR3.8-IR10.8 differences. Finally, the firecoordinates will be displayed as administrative location map. This paper alsoprovides comparison between Terra-Aqua and Himawari-8 hotspot detection in2015 – 2017. The result shows quite similarity for the hotspot location. This can beconcluded that BMKG Himawari-8 wildfire product can be used to complement theexisting hotspot products.ENV 080Landuse / Landcover Identification With Spot 6 Imagery Extraction Using ObjectBased Classification Method: Case Study Sentul City Bogor, Indonesia. AsepSuheri*, Cecep Kusmana, Moh. Yanuar J Purwamto, Yudi Setiawan BogorAgricultural University; [email protected])The aim of this study was to identify land use / land cover by OBIA classificationmethod, using a combination of multispectral data and elevation built from SPOT 6stereo. The ESP tool is used to determine the optimal segmentation parameters.For further reference, use the decision tree algorithm to obtain the soil class / land Program Book 97

The 4th International Symposium on LISAT 2017cover. Then for area-based assessment and similarity index is done by using visualinterpretation as a reference. Based on the results of the study indicating theexistence of object-based superiority that is superior to stereo / tristereo SPOTinformation 6. Produce good value in some classes such as \"settlement\", \"height ofbuilding\", \"tree\" and \"river\" with more than 63% While all sample locations ratedmore than 0.5 on similarity measures. This study shows SPOT 6 data is very wellused for green areas, such as green open spaces, and geometries associated withcity heat islands.ENV 081The effect of land cover change to the biomass value in the forest area of westjava province. Mulia Inda Rahayu*, Tarsoen Waryono, Rokhmatullah, Iqbal PututAsh Shiddiq (University of Indonesia; [email protected])Due to the issue of climate change as a public concern, information of carbon stockavailability play an important role to describe the condition of forest ecosystems inthe context of sustainable forest management. This study has the objective toidentify land cover change during 2 decades (1996 – 2016) in the forest area andestimate the value of forest carbon stocks in west Java Province using remotesensing imagery. The land cover change information was obtained by visuallyinterpreting the Landsat image, while the estimation of the carbon stock value wasperformed using the transformation of the NDVI (Normalized Difference VegetationIndex) which extracted from Landsat image. Biomass valueis calculated by existingallometric equations. The results of this study are expected to know the effect ofland cover change to the biomassvalue in the forest area of west java province.ENV 082Identifying the driving forces of urban expansion and its environmental impact inJakarta-Bandung Mega Urban Region. Andrea Emma Pravitasari*, Ernan Rustiadi,Setyardi Pratika Mulya, Yudi Setiawan, Lutfia Nursetya Fuadina, Alfin Murtadho(Bogor Agricultural University; [email protected])The socio-economic development in Jakarta-Bandung Mega Urban Region (JBMUR)caused the increasing of urban expansion and led to a variety of environmentaldamage such as uncontrolled land use conversion and raising anthropogenicdisaster. The objectives of this study are: (1) to identify the driving forces of urbanexpansion that occurs on JBMUR and (2) to analyze the environmental qualitydecline on JBMUR by producing time series spatial distribution map and spatialautocorrelation of floods and landslide as the proxy of anthropogenic disaster. Thedriving forces of urban expansion in this study were identifed by employingGeographically Weighted Regresion (GWR) model using 6 (six) independentvariables, namely: population density, percentage of agricultural land, distance tothe center of capital city/municipality, percentage of household who works inagricultural sector, distance to the provincial road, and distance to the local road.The GWR results showed that local demographic, social and economic factorsincluding distance to the road spatially affect urban expansion in JBMUR. Thetimeseries spatial distribution map of floods and landslide event showed the spatial Program Book 98