Satellite Remote Sensing and Hydrologic Modeling for Flood Inundation Mapping in Lake Victoria Basin: Implications for Hydrologic Prediction in Ungauged Basins

Khan, Sadiq I.
Hong, Yang
Wang, Jiahu
Yılmaz, Koray Kamil
Gourley, Jonathan J.
Adler, Robert F.
Brakenridge, G. Robert
Policelli, Fritz
Habib, Shahid
Irwin, Daniel
Floods are among the most catastrophic natural disasters around the globe impacting human lives and infrastructure. Implementation of a flood prediction system can potentially help mitigate flood-induced hazards. Such a system typically requires implementation and calibration of a hydrologic model using in situ observations (i.e., rain and stream gauges). Recently, satellite remote sensing data have emerged as a viable alternative or supplement to in situ observations due to their availability over vast ungauged regions. The focus of this study is to integrate the best available satellite products within a distributed hydrologic model to characterize the spatial extent of flooding and associated hazards over sparsely gauged or ungauged basins. We present a methodology based entirely on satellite remote sensing data to set up and calibrate a hydrologic model, simulate the spatial extent of flooding, and evaluate the probability of detecting inundated areas. A raster-based distributed hydrologic model, Coupled Routing and Excess STorage (CREST), was implemented for the Nzoia basin, a subbasin of Lake Victoria in Africa. Moderate Resolution Imaging Spectroradiometer Terra-based and Advanced Spaceborne Thermal Emission and Reflection Radiometer-based flood inundation maps were produced over the region and used to benchmark the distributed hydrologic model simulations of inundation areas. The analysis showed the value of integrating satellite data such as precipitation, land cover type, topography, and other products along with space-based flood inundation extents as inputs to the distributed hydrologic model. We conclude that the quantification of flooding spatial extent through optical sensors can help to calibrate and evaluate hydrologic models and, hence, potentially improve hydrologic prediction and flood management strategies in ungauged catchments.


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Bozkurt, Okan Çağrı; Merzi, Nuri; Akyürek, Sevda Zuhal; Department of Civil Engineering (2013)
Floods are one of the most important natural disasters regarding damages caused by them. Major reasons of huge damages of floods are unplanned urbanization, narrowing of river beds and incorrect operation of water control structures. Geographic Information Systems (GIS) can provide important tools to be used in flood modeling studies. In this study, Lake Mogan, Lake Eymir and İncesu Detention Pond subbasins are studied for flooding events within GIS framework. These subbasins are important catchment areas o...
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Aksoy, Mehmet; Yücel, İsmail; Department of Civil Engineering (2020-10-15)
Flash floods are among the most destructive natural disasters in both Turkey and world that cause loss of life and property. In this study, monthly distribution of heavy rainfall events in the period of 2015-2019 is examined to show the frequency and distribution of flash floods associated with these heavy rainfall events in Turkey. The monthly distribution of lightning observations for the period of 2015 and 2019 is also studied to release the relationship between heavy rainfall events and lightning ...
Advancement of Satellite Rainfall Applications for Hydrologic Modeling with Emphasis on Flood Monitoring (FLOODSAT)
Yılmaz, Koray Kamil(2014-3-31)
"Floods are the most widespread and frequent natural disaster responsible for significant loss of lives and property each year. The European Environmental Agency estimated that floods in Europe between 1998 and 2002 caused about 700 deaths, the displacement of about half a million people and at least 25 billion Euros in insured economic losses. As such, one of the four priority areas in FP7 has been identified as triggering factors and forecasting and mitigation strategies for natural hazards. Flood early ...
Assessment of different rainfall products in flood simulations
Özkaya, Arzu; Akyürek, Sevda Zuhal; Department of Civil Engineering (2017)
Floods happening due to heavy rainfall are one of the most widespread natural hazards. To predict such events, accurate rainfall products and well calibrated hydrologic models are essential especially in urban settlements for life savings. With the objective of assessing the rain detection potential of rainfall data products, several hourly rainfall datasets are used as forcing inputs in two hydrologic models. Physic based distributed model, WRF-Hydro, and conceptual based lumped model, HEC HMS, are used to...
Sensitivity analysis of 2-D flood inundation model LISFLOOD-FP with respect to spatial resolution and roughness parameter
Kıyıcı, Ezgi; Akyürek, Sevda Zuhal; Department of Civil Engineering (2019)
One of the most common disasters in the world is flooding and it’s well known that it causes environmental, social and economic damages. Since these damages could be severe and destructive due to drivers such as climate change and humane factors, the necessity of flood management studies is revealed. Europe has recognized the need for creating flood risk maps and flood hazard maps. 1-D and 2-D hydraulic models have been used to obtain these maps. This study is focused on the sensitivity of a 2-D hydraulic m...
Citation Formats
S. I. Khan et al., “Satellite Remote Sensing and Hydrologic Modeling for Flood Inundation Mapping in Lake Victoria Basin: Implications for Hydrologic Prediction in Ungauged Basins,” IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, pp. 85–95, 2011, Accessed: 00, 2020. [Online]. Available: