PRECIPITATION COMPARISON USING GSMAP IMAGES AND GROUND-BASED DATA Mr. Sompop Sangpray E-mail: [email protected], [email protected] ABSTRACT The Global Satellite Mapping of Precipitation (GSMaP) estimates has seen an increased use as utility in performing meteorology analyses in areas of the globe where ground-based rainfall station is sparse or non- existent. However few studies have been conducted in order to evaluate the performance of satellite precipitation estimates when compared to ground-based measurements (rain gauges). This report evaluates the GSMaP rainfall data with ground-based rainfall data. GSMaP rainfall data was evaluated statistically at the 10 square kilometers of spatial resolution and region scale for two years. Results indicate that GSMaP rainfall data has a difference value with ground-based rainfall data but the trend of both groups’ values tends to be the same direction. The finding in this report provides insights on the capabilities of GSMaP data for users of the product. KEY WORDS: GSMaP, Rainfall data, Ground-Based data, Rain gauges REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM APPLICATION FOR FLASH FLOOD LEVEL CLASSIFICATION MAPPING IN VIETNAM Pham Thi Ngoc Nhung [email protected] ABSTRACT Flash flooding which is a kind of natural disaster has increasingly occurred in the mountainous areas in the country in the world, especially in river basins located in the tropical climate zone influenced by moonsoon and storms. Flash floods bring great damages, not only directly on people and property but also have large consequences in habitat destruction. Therefore the world and Viet Nam have come to understand the importance and urgency of the flood forecasting purposes to reduce the consequences of this disaster caused. In recent years, with information technology’s development in the world, remote sensing (RS) technology and geographic information systems (GIS) have been developed from different scientific disciplines and application on the field. There has been a long-term interest in merging these two technologies, because remote sensing provides relatively accurate data on the status of land use, terrain elements, geology, vegetation cover…then linked to GIS. GIS is not only use to represent and process data but also to draw the object class on geographical maps. This article is an introduction to integrate solutions of RS and GIS to establish flash flood level classification map. KEY WORDS: Flash flood, GIS, RS, level classification Reduce Exposure to Reduce Risk 290
Author Index Reduce Exposure to Reduce Risk 291
A.Abedini 282 H.M.B.S.Hearath 278 A.H.Souri 282 H.M.K.G.G.BANDARA 284 Abbadi Girmay Reda 268 H.W. Shyamale 178 Abbas Esmaeili Sari Halime Etemadi Abdul Hakim Mohammed 62 Hamid Mehmood 62 Aditia Andrika 35 Harry Storch 236 Afshin Danekar 35 Hassan Ali Ahmadi,hasan 62 Ho Dinh Duan 30 AL. Ramanathan 282 Hyo Choi 283 Ali Uromeihy 83 Insannul Kamil 186 Anil.K.Gupta 283 J. Chandrasekar 202, 138, 199, 201 Anothai Trivanich 22 J. U. Munasinghe Anshul Agarwal 59, 211 J.C.R Wimalasuriya 35 Anurag Linda 83 J.Gunatilake 183 Asamaporn Sitthi 83 J.M.D.R.Menike Asoka S. Karunananda 40 Jamali, Ali Akbar 24 B. D. Madurapperuma 118 James F. Bramante 126 B.V.R. Punyawardena 24 Jayant Kumar Routray 178 Bandula Wickramarachchi 85 Jayathilaka, R.M.R.M 247 Bangon Changsap 200 Jinadasa, S.U.P 282 Bhoop Singh 59, 213 Jose George Pottakkal 247 Bilal Sadiq 198, 277 K. A. J. M. Kuruppuarachchi 118 Blinovskaia Iana 211 K. P. D. H. De Silva 136 Buang Alias 280 K.A.S.S. Wijesekara 19, 136 Buddika Hapuarachchi 35 K.Deheragoda Chalobol Wongsawad 98 K.P.D.H De Silva 83 Chander Prakash 59, 211, 213 K.P.K Srilal 24 Chaya Vaddhanaphut 284 K.Rajendram 243 Chitrini MOZUMDER 268 K.Srinivasa Raju 183, 279 Choosak Nithikathkul 258 K.V.D. Edirisooriya 285 Chudech Losiri 59, 212, 213, 211 Khuram Shehzad 126 D. G. Fernando 40 Kumar D 126 D. Thirumalaivasan 93 L. A. Kotchman 77 D.K. Raju 277 L.D.C. S. Subhashini 198 D.S. Kalana Mendis 183 L.D.C.B. Kekulandala 200, 285 Devi 118 Ladachart Taepongsora 283 Dimuthu Niroshani 220 Lalitya Narieswari 130 Direk Panitsupakamon Le Thanh Hoa 24 DN Sirisena 8 Lesley Karunathilaka 144 Doo Sun Choi 213 M. P. A. W. Gamage 98 Faisal Mueen Qamer 163, 168 M. Ramalingam 59 Farahpour,mehdi, 199 M.N.S. Edirisinghe 280 Fayaz Ali Shah 283 M.Ramalingam 30 G.Gopinath 282 M.S.L.R.P. Marasinghe 13 G.I.U Geeganage 216 Maha lakshmi 126, 243 G.R.S.S Jayarathne 198 Mahsa Sharif 277 Ganesan Veerappan Goundar 126 Matt C. Reeves 275 Ganesan.G 126 Mi Sook Lee 198 Ghouse Mohamed Shaik 220 Michael Schmidt 52 Giriraj Amarnath 248 Mohamed Ameer 220 GPTS Hemakumara 130, 248, 220 Mohammad Sharifikia 283 H.A.H. Jayasena Mone Iye Cornelia Marschiavelli 68 H.L. Premaratne 19 Mrinal K. Ghose 138, 201 58 30 60 19 144 62 280 276 Reduce Exposure to Reduce Risk 292
Muhammad Ali 103 Ranjani Wasantha Kulawardhana 68 Muhammad Mateen Mahmood 286 Ranjith Premalal De Silva Muhammad Shahzad Sarfraz 211 Ranjith Premasiri 52, 152, 183, 204, 247, 85 Muhammad Sheraz Ahsan Rashid Saleem Mukand S. Babel 2 Raza, Syed Fawad 8 Muralidharan 83 Rizkhan Mohamed 283 N. D. K. Dayawansa 220 RMCWM Rathnayake N. K. Tripathi 204 RMK Atapattu 2 N. R Patel 263 RMKGSPB Koswatte 13 N. Saranga Vithanage 77 Robert A. Washington-Allen 184 N.D.K. Dayawansa 200, 285 Rujee Rodcha 168 N.L. Ukwattage 52, 152, 171 Ruslan Rainis 230 N.N.K.Wellala 171 Rusty A Feagin 68 Nadarajapillai Thasarathan 178 S DEVI PRASAD 40 Nadeeka Paranamange 204 S. C. Mathugama 58 Nandana Mahakumarage S. D. T. N. Siyambalapitiya 68 Nandana Pathirage 8 S. Janahan, S. T. Mackmillian 281 Naruemon Phongaksorn 84, 98 S. Sivanandaraja 85 Nayana Mawilmada S. Yoharajan 243 Nguyen Luong Bach 46 S.P.D.R. Senarathna 243 Nguyen Thi Phuong Chau 156 Saher Murad 13 Nigel K. Downes Sakthivel 84 Nimalika Fernando 84 Sanchit Suman 279 Nion Sirimongkalertkal 277 Sanit Arunpold 122, 255 Nishani Ranpatabendi Sarawut Jampapunt 220 Nitin K Tripathi 30 Sawaid Abbas 20 Oshadee Lasitha Potuhera 30 Seyede Zahra Samadi 263 Oshan Perera 13 Shahbaz Ahmad Muhammad 212 P. G. Oduor 277 Shareef Hussain 283 P. Udaya Bhaskar 13 Shreedhar Maskey 62 P.Jagadeeswara Rao 20, 258, 156, 236, 268 Sirinart Tongsiri 211 P.L. Dharamapriya 152 Sivapatham Thavavathani 109 P.V.V.Satyanarayana 13 SM. Ramasamy 83 PADMASREE MERAKANAPALLI 24 Sompong Jarungjitanuson 211 PANDRUVADA SREEKANTHI 250 Sompop Sangpray 152 Parmanand Sharma 150 Somsak Sripakde 151 Patrizia Bitter 60 Soo Min Choi 212 Peeyush Soni 150 Soran Parang 290 Phaisarn Jeefoo 281 Soraya Ardakany,hamed 212 Pham Thi Ngoc Nhung 281 Sorin C Popescu 199 Pham Thi Phuong Thao 83 Sreeja.S.Nair 282 Pipat Reungsaeng 275 Sri Lestari 282 Pissamai Homchumpa 268 Srimal Priyantha Samansiri 68 Piyathamrongchai, K. 193 Srimal Smansiri 22 Pramod Aggarwal 290 Suby Anthony 280 Qaisar Abbas 186 Supaporn Wannapinyosheep 21 R. H. Daniel 59, 213, 211 Suresh Pakshaweera R.L. Ratnayake 59, 211, 212 Syed Ainuddin 8 Radhika .J. G 276 T. S. G. Peiris 59 Rajeshwar Singh Banshtu 19 T.M.N. Peiris 59, 213 Ramakrishnan, 211 Tae Sung Cheong 46 Ramakrishnan.V. V 243 Talpe Liyanage Chanaka Vinodh 118 Ramalinagam 279 Tamil Selvan Vajravelu 85 130 93 284 88 248 200 130 248 248 Reduce Exposure to Reduce Risk 293
Tanzeem AkbarCheema 211 Taravudh Tipdecho 268 Thasneef Ahamed Trivanich 13 Udaya Samaratunga 213 Uditha Rathnayake 118 Umair Ahsan Cheema 118 V MADHAVA RAO 122 V Rajesh Chowdhary 281 V. P. A. Weerasinghe 263 Vajira Hettige 152 Vajravel Tamilselvan Vansarocahana, A 98 Vemu Sreenivasulu 220 Vidya Satija 276 Virender Singh 250, 281 Vladimir Smakhtin W.A.K.NAYANA PADMANI 22 Waon Ho Yi 83 Wijayadeva, D. A 19 WMMNK Bandara 284 WMUK Rathnayake 88 Wutjanun Muttitanon 19, 136 20 163, 168 198 Reduce Exposure to Reduce Risk 294
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