H51H-1476
Africa-Wide Monitoring of Small Surface Water Bodies Using Multisource Satellite Data: A Monitoring System for FEWS NET
Friday, 18 December 2015
Poster Hall (Moscone South)
Naga Manohar Velpuri1, Gabriel B Senay2, James Rowland3, Michael E Budde3 and James P Verdin4, (1)ARTS Contractor, InuTeq LLC, Contractor to U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD, USA, Sioux Falls, SD, United States, (2)U.S. Geological Survey Earth Resources Observation and Science, EROS/ North Central Climate Science Center, Fort Collins, CO, United States, (3)U.S. Geological Survey, Sioux Falls, SD, United States, (4)USGS/EROS, Boulder, CO, United States
Abstract:
Continental Africa has the largest volume of water stored in wetlands, large lakes, reservoirs and rivers, yet it suffers with problems such as water availability and access. Furthermore, African countries are amongst the most vulnerable to the impact of natural hazards such as droughts and floods. With climate change intensifying the hydrologic cycle and altering the distribution and frequency of rainfall, the problem of water availability and access is bound to increase. The U.S Geological Survey Famine Early Warning Systems Network (FEWS NET), funded by the U.S. Agency for International Development, has initiated a large-scale project to monitor small to medium surface water bodies in Africa. Under this project, multi-source satellite data and hydrologic modeling techniques are integrated to monitor these water bodies in Africa. First, small water bodies are mapped using satellite data such as Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Landsat, and high resolution Google Earth imagery. Stream networks and watersheds for each water body are identified using Shuttle Radar Topography Mission (SRTM) digital elevation data. Finally, a hydrologic modeling approach that uses satellite-derived precipitation estimates and evapotranspiration data calculated from global data assimilation system climate parameters is applied to model water levels. This approach has been implemented to monitor nearly 300 small water bodies located in 10 countries in sub-Saharan Africa. Validation of modeled scaled depths with field-installed gauge data in East Africa demonstrated the ability of the model to capture both the spatial patterns and seasonal variations. Modeled scaled estimates captured up to 60% of the observed gauge variability with an average RMSE of 22%. Current and historic data (since 2001) on relative water level, precipitation, and evapotranspiration for each water body is made available in near real time. The water point monitoring network will be further expanded to cover other pastoral regions of sub-Saharan Africa. This project provides timely information on water availability that supports FEWS NET monitoring activities in Africa. Information on water availability produced in this study would further increase the resilience of local communities to floods and droughts.