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(Location: IWMI HQ Call no: 333.91 G000 INT Record No: H027693)
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(Location: IWMI-HQ Call no: 333.91 G000 STO Record No: H028147)
3 Stockholm International Water Institute (SIWI) 2000. Proceedings - SIWI Seminar: Water Security for Multinational Water Systems: Opportunity for Development, Stockholm, August 19, 2000. Stockholm, Sweden: SIWI. 154p. (SIWI report 8)
(Location: IWMI-HQ Call no: 333.91 G000 STO Record No: H028148)
4 Ahmad, Q. K. 2000. Promoting sustainable development in the Ganges-Brahmaputra-Meghna (GBM) region through water-based regional cooperation. In Stockholm International Water Institute (SIWI), Proceedings - SIWI Seminar: Water Security for Multinational Water Systems: Opportunity for Development, Stockholm, August 19, 2000. Stockholm, Sweden: SIWI. pp.84-94.
(Location: IWMI-HQ Call no: 333.91 G000 STO Record No: H028153)
5 Paul, R. 2001. Bangladesh: Search for new solutions – Increasing demand for water and the inability to control its source, timing, quality and quantity are becoming critical issues for Bangladesh. In Agarwal, A.; Narain, S.; Khurana, I. (Eds.), Making water everybody’s business: Practice and policy of water harvesting. New Delhi, India: Centre for Science and Environment. pp.165-166.
(Location: IWMI-HQ Call no: 333.91 G635 AGA Record No: H030637)
6 Ahmad, Q. K. 2003. Regional cooperation in water management: Achievements and prospects. In Prasad, K. (Ed.), Water resources and sustainable development: Challenges of 21st Century. Delhi, India: Shipra Publications. pp.352-356.
(Location: IWMI-HQ Call no: 333.91 G000 PRA Record No: H031079)
7 Siddiqui, M. F. A. 1983. Management of river systems in the Ganges and Brahmaputra basins for development of water resources. In Zaman, M. (Ed.), River basin development: Proceedings of the National Symposium on River Basin Development 4-10 December 1981, Dacca, Bangladesh Dublin, Ireland: Tycooly International Publishing. pp.137-149.
(Location: IWMI-HQ Call no: 333.91 G000 ZAM Record No: H035670)
8 Mukherji, Aditi. 2004. Groundwater markets in Ganga-Meghna-Brahmaputra Basin: Theory and evidence. Economic and Political Weekly, 30(31):3514-3520.
(Location: IWMI-HQ Call no: IWMI 333.9104 G635 MUK Record No: H039928)
(Location: IWMI HQ Call no: 333.9162 G570 AHM Record No: H040934)
10 Ahmad, Z. U. 2004. Water development potential within a basin-wide approach: Ganges-Brahmaputra-Meghna (GBM) issues. In Biswas, A. K.; Unver, O.; Tortajada, C. (Eds.). Water as a focus for regional development. New Delhi, India: Oxford University Press (OUP) pp.83-113.
(Location: IWMI HQ Call no: 333.91 G000 BIS Record No: H041112)
(Location: IWMI HQ Call no: 333.91 G000 BIS Record No: H041108)
12 Saleque, M. A.; Uddin, M. K.; Salam, M. A.; Ismail, A. M .; Haefele, S. M. 2010. Soil characteristics of saline and non-saline deltas of Bangladesh. In Hoanh, Chu Thai; Szuster, B. W.; Kam, S. P.; Ismail, A. M; Noble, Andrew D. (Eds.). Tropical deltas and coastal zones: food production, communities and environment at the land-water interface. Wallingford, UK: CABI; Colombo, Sri Lanka: International Water Management Institute (IWMI); Penang, Malaysia: WorldFish Center; Los Banos, Philippines: International Rice Research Institute (IRRI); Bangkok, Thailand: FAO Regional Office for Asia and the Pacific; Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.144-153.
(Location: IWMI HQ Call no: IWMI 551.457 G000 HOA Record No: H043054)
(5.08 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H051976)
(13.40 MB) (13.4 MB)
Remotely sensed data have the potential to monitor natural hazards and their consequences on socioeconomic systems. However, in much of the world, inadequate validation data of disaster damage make reliable use of satellite data difficult. We attempt to strengthen the use of satellite data for one application—flood index insurance—which has the potential to manage the largely uninsured losses from floods. Flood index insurance is a particularly challenging application of remote sensing due to floods’ speed, unpredictability, and the significant data validation required. We propose a set of criteria for assessing remote sensing flood index insurance algorithm performance and provide a framework for remote sensing application validation in data-poor environments. Within these criteria, we assess several validation metrics—spatial accuracy compared to high-resolution PlanetScope imagery (F1), temporal consistency as compared to river water levels (Spearman's ), and correlation to government damage data ( R 2 )—that measure index performance. With these criteria, we develop a Sentinel-1 flood inundation time series in Bangladesh at high spatial (10 m) and temporal (~weekly) resolution and compare it to a previous Sentinel-1 algorithm and a Moderate Resolution Imaging Spectroradiometer (MODIS) time series used in flood index insurance. Results show that the adapted Sentinel-1 algorithm (F1 avg = 0.925, avg = 0.752, R 2 = 0.43) significantly outperforms previous Sentinel-1 and MODIS algorithms on the validation criteria. Beyond Bangladesh, our proposed validation criteria can be used to develop and validate better remote sensing products for index insurance and other flood applications in places with inadequate ground truth damage data.
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