Abstract
Rainfall-runoff modeling tackled in this research is a challenging aspect in hydrology. Arid regions are vulnerable against flash floods disaster. Unfortunately, there is often a lack of data on hydrological processes in arid regions. This limits the ability to understand the flash flood process. The present study aims to use Remote Sensing data (GSMaP) to overcome shortage of data. Geographic Information System (GIS) and Remote Sensing have played an essential role in data collection and hydrological modeling. Two wadis have been selected as a case study for the application, which are Wadi El-Assiuti and Wadi Qena. Geographic Information System (GIS) and Remote Sensing have been used to delineate the drainage system and watershed from the Digital Elevation Model (DEM). Due to the scarcity of observational data, computations are carried out where Remote Sensing data (GSMaP_MVK+) was used to evaluate the precipitation rate over different wadis as well as to simulate several flash flood events. GSMaP can be used as input data in hydrological models to predict flash floods. This paper presents the current and future trends of Remote Sensing data (GSMaP) in hydrological modeling. The primary focus of this paper is the data availability and further opportunities for hydrological modeling development.