Abstract
Increasingly available and a virtually uninterrupted supply of satellite-estimated rainfall data is gradually becoming a cost-effective source of input for flood prediction under a variety of circumstances. The study conducted in Wasit province/Eastern Iraq when a flood occurs due to heavy rainfall in May 2013. In this study the capability of Tropical Rainfall Measuring Mission (TRMM) rainfall daily data have been used to estimate the relationship between measured precipitation and the Digital Elevation Model (DEM), also to study the relationship between rainfall intensity and flood waters areas. Rainfall estimation by remote sensing using satellite-derived data from the Tropical Rainfall Measuring Mission (TRMM) is a possible means of supplementing rain gauge data, having the better spatial cover of rainfall fields. The approach used throughout this paper has integrated recently compiled data derived from satellite imagery (rainfall, and digital elevation model) into a GIS geodatabase to study the relationship between rainfall intensity and floodwater's areas then the results' comparison with the Normalized Difference Water Index (NDWI) after the flood. ArcGIS software has been used to process, analyze the archived Tropical Rainfall Measuring Mission (TRMM) precipitation data, and calculate NDWI from Landsat 8 images. In conclusions, the study explains the flood-area clearly captured by the TRMM measurements; and the region’s water increased. Also, good correlation between measured precipitation and the Digital Elevation Model (DEM) has been detected.
Highlights
Floods influence more people globally than any other types of natural disaster, and they usually return every year in flood-prone regions
The study conducted in Wasit province/Eastern Iraq when a flood occurs due to heavy rainfall in May 2013
In this study the capability of Tropical Rainfall Measuring Mission (TRMM) rainfall daily data have been used to estimate the relationship between measured precipitation and the Digital Elevation Model (DEM), to study the relationship between rainfall intensity and flood waters areas
Summary
Floods influence more people globally than any other types of natural disaster, and they usually return every year in flood-prone regions. Local dry/wet conditions are of great concern in regional water resource and floods/droughts disaster risk management. Satellite-based precipitation products have greatly improved their accuracy and applicability and are expected to offer an alternative to grind rain gauges data. TRMM has proven to be an invaluable resource in other application areas, such as flood and drought monitoring. For instance; to monitor heavy rains (Minghu et al 2008), to study historical events like El Nino (Adler et al 2000), to study tropical infection disease (Liu et al 2002), to determine land surface wetness (Gu et al 2002) and to estimate crop yield (Chiu et al 2004), TRMM data products are used. Between rainfall intensity and floodwater's areas, comparison the results with NDWI after the flood
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