Transcript Slide 1
Flood Inundation Map of Bangladesh using MODIS Surface Reflectance Data AKM Saiful Islam Sujit Kumar Bala Anisul Haque Institute of Water and Flood Management (IWFM) Bangladesh University of Engineering and Technology (BUET) 2nd International Conference on Water and Flood Management ICWFM-2009 Introduction Flood is very common phenomenon in Bangladesh due to its geographic location. Every year one third of Bangladesh has gone under floods. Status of flood inundation in time and space is important in evaluating the relationships between variations in the water regime, local agricultural activity, and ecosystem behaviour from a global viewpoint. 2nd International Conference on Water and Flood Management ICWFM-2009 Remote sensing images can be effective and efficient tools to determine flood inundation areas. MODIS satellite with its moderate-resolution optical sensor of 250–500 m becomes useful tools for scientific studies and research. Sakamoto et al. (2007) was developed a methodology to detect the spatio-temporal flood distribution in the Cambodia and Vietnam using MODIS data. In this study this algorithm was modified to determine extent of flood inundation of Bangladesh. 2nd International Conference on Water and Flood Management ICWFM-2009 Data Used MODIS satellite data TERRA sensor Surface Reflectance (band 1-8) 8-Day temporal resolution Product of Level 3 (atmospherically corrected) Version 5 Global coverage 500 meter spatial resolution Two major floods during 2004 and 2007 2nd International Conference on Water and Flood Management ICWFM-2009 Study area 2nd International Conference on Water and Flood Management ICWFM-2009 Landuse/Land Cover Classes 1. Single-crop rainfed rice in the Haor area of the north-eastern region 2. Single-crop irrigate rice in the south-western region 3. Double-cropped irrigated rice in the northern region 4. Triple-cropped irrigated rice in the Brand area of the north-western region 5. Forest area in the Sundarbans 6. settlement area of Dhaka city 7. Kaptai lake 8. Bay of Bengal ocean 9. the Padma river. 2nd International Conference on Water and Flood Management ICWFM-2009 MODIS derived indices NDVI NDWI EVI LSWI 2nd International Conference on Water and Flood Management ICWFM-2009 MODIS derived indices EVI LSWI DVEL =EVI-LSWI 2nd International Conference on Water and Flood Management ICWFM-2009 EVI 0.7 Single-Shrimp farm (Khulna) 0.6 Singe-Haor (Shylhet) 0.5 double crop 0.4 Tripple 0.3 Mangrove Forest (Sundarbans) Settelment (Dhaka) 0.2 0.1 0 Lake (Kaptai) -0.1 Sea (Bay of Bengal) -0.2 River (Padma) -0.3 0 2nd International 50 100 150 200 250 300 ICWFM-2009 350 Conference on Water and Flood Management LSWI Single-Shrimp farm (Khulna) 0.9 Singe-Haor (Shylhet) 0.7 double crop Tripple 0.5 Mangrove Forest (Sundarbans) Settelment (Dhaka) 0.3 0.1 Lake (Kaptai) -0.1 Sea (Bay of Bengal) -0.3 River (Padma) 02nd International 50 100 150 200 250Management 300 ICWFM-2009 350 Conference on Water and Flood Flood chart of Flood inundation map MODIS 8 day reflectance images MODIS derived indices: EVI, LSWI, DVEL ρBLUE ≥ 0.2 Cloud free indices: EVI, LSWI, DVEL DVEL ≤ 0.05 EVI ≤ 0.05 EVI ≤ 0.3 LSWI ≥ 0.0 NO EVI > 0.3 Non-Flood Water related pixel 0.1 < EVI EVI ≤ 0.3 Mixture EVI ≤ 0.1 Flood total duration of water pixel > 120 days Water bodies Flood Inundation Map 2nd International Conference on Water and Flood Management ICWFM-2009 Long Term Water Bodies Inundation >120 days Long term Water bodies in 2007 2nd International Conference on Water and Flood Management ICWFM-2009 Chronology of 2004 & 2007 floods 2nd International Conference on Water and Flood Management ICWFM-2009 Comparing MODIS with RADARSAT Inundation map on 28th July, 2007 Using MODIS RADARSAT Inundation on 3rd August , 2007 2nd International Conference on Water and Flood Management ICWFM-2009 Comparison with RADARSAT Image RADARSAT Vs MODIS Comparing Pixels 2nd International Conference on Water and Flood Management ICWFM-2009 Maximum Extend of 2004 & 2007 Floods 2004 Flood 2007 Flood 2nd International Conference on Water and Flood Management ICWFM-2009 Start & End date and Duration Parameters River Date of crossing Danger Level at rising stage Brahmaputra Date of crossing Danger Level at falling stage Duration of flood in days above Danger Level Gauge Stn. Bahadurabad 2007 2004 27.07.07 & 08.09.07 11.07.04 - - Ganges Hardinge Br. Meghna Bhairab Bazar 30.07.07 & 12.09.07 11.07.04 Bahadurabad 06.08.07& 17.09.07 26.07.04 - - Brahmaputra Ganges Hardinge Br. Meghna Bhairab Bazar 21.08.07 & 25.09.07 18.08.04 Bahadurabad 21 15 Brahmaputra Ganges Hardinge Br. 0 0 Meghna Bhairab Bazar 37 38 2nd International Conference on Water and Flood Management ICWFM-2009 2nd International Conference on Water and Flood Management ICWFM-2009 Conclusion This study modifies a methodology which was developed by Sakamoto et al. in order to detect spatial extents and temporal changes of flood inundation of Bangladesh during monsoon season. MODIS satellite images were used develop inundation maps for floods in 2007 and 2004. flood This low resolution (500m) MODIS based maps area compared with subsequent flood inundation maps based on high resolution (50m) RADARSAT satellite images. MODIS estimates show strong correlation with the inundation areas derived from RADARSAT with R2 values of 0.96. MODIS images can be used successfully to determine start & end date, duration and maximum extent of flood. 2nd International Conference on Water and Flood Management ICWFM-2009