Sentinel Asia, the 8th Joint Project Team Meeting
Morimasa Tsuda JICA Expert (Advisor on Water Management Technology and Policy, Bangladesh) Guest Associate Professor (Osaka University, Japan) 18 September 2023, Jakarta, Indonesia
GSMaP Bias correction training by SAFE (Space Applications for Environment) prototyping projects Mekong River Commission (2016) “Deploying GSMaP for Decision Support in Transboundary Catchments in the Lower Mekong Basin" Sri Lanka Irrigation Department (2016) “Developing and Implementing an Operational Prototype for Advanced Flood Forecasting, Early Warning, and Data Sharing System in the Kalu Ganga Basin, Sri Lanka" 4
Total catchment area of three basins : 1.72 million km2
Only 1-4m above the mean sea level Wet Season Dry Season MERIT Hydro by Tokyo Univ.
Before harvesting in May : Protection of cropland by embankment After May : Fishery work Rui Beel Haor (2023 January) 7
GSMaP NRT 2022 June01-June30 (mm)
Data Sources Satelite Image, Pre-disaster    : ALOS-2 PALSAR-2,  7 May 2022 Post-disaster   : ALOS-2 PALSAR-2, 18 June 2022 Copyright: © JAXA (2022) - All rights reserved. GIS Data: Waterway,Waterbody,Bulding,Road © OSM (2022) Administrative Boundary © GADM (2022) Description This map shows the detected flood water areas in Brahmanbaria, Hobigani, Kishoreganj, Moulvibazar, Narshingdi, Netrakona, Sun Amgonj and Sylhet Districts in Bangladesh on 18 June 2022 due to heavy monsoon rains and water from upstream in India's northeast. Note that the detected flood water may also include water in cultivated areas. Map product made by GIC-AIT (v1.0). Disclaimer: The accuracy of this product is not validated Data provider: JAXA ALOS2 image
"Data was provided by the Bangladesh / Northeastern India Meteorological Data Archive from the web site at http://rfweb.ed.kagawa-u.ac.jp/dav/gbm_jp/data/DATABASE/". 120 100 80 60 infall (mr 40 20 0
120 100 80 60 infall (mr 40 20 0 "Data was provided by the Bangladesh / Northeastern India Meteorological Data Archive from the web site at http://rfweb.ed.kagawa-u.ac.jp/dav/gbm_jp/data/DATABASE/".
Khliehriat Supported by Prof. Terao of Kagawa Univ. Japan "Data was provided by the Bangladesh / Northeastern India Meteorological Data Archive from the web site at http://rfweb.ed.kagawa- u.ac.jp/dav/gbm_jp/data/DATABASE/”. 13
infall (mr GPM-BICO tool: Operationalization of bias-corrected satellite observations via GPM IMERG products in the Mekong River Commission (MRC) Riverine Flood Forecasting System (https://github.com/Servir-Mekong/GPM-BICO) 14
infall (mr GPM-BICO tool: Operationalization of bias-corrected satellite observations via GPM IMERG products in the Mekong River Commission (MRC) Riverine Flood Forecasting System (https://github.com/Servir-Mekong/GPM-BICO) 15 • Rainfall information outside of observation network is important for flood management at transboundary basin • GSMap-IF was developed by UNESCO Pakistan project funded by Jica’s ODA. Copyright of the GSMaP-IF model program is jointly owned by the United Nations Educational, Scientific and Cultural Organization (UNESCO) and the Japan Aerospace Exploration Agency (JAXA) • GSMaP-IF provides several correction methods. Users need to consider which method is suitable for their target basin
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