APPLICATION OF REMOTE SENSING AND GIS FOR FLOOD RISK ANALYSIS: A CASE STUDY AT KALU- GANGA RIVER, SRI LANKA

Abstract

Advances in remote sensing technology and new satellite platforms such as ALOS sensors widened the application of satellite data. One of the many fields that these technologies can be applied is to validate flood inundation models. For a long time flood extent from flood inundation models were validated using the ground truth surveys which was not very much reliable. In this study flood extent was extracted from satellite images available for one in 50 year flood event occurred on June 2008 in Kalu-Ganga River, Sri Lanka. Then that was compared with the flood extent derived from the flood extent obtained for the 50-year rainfall using HEC-HMS and HEC-RAS. Base on the flood extent, this project is to develop, demonstrate and validate an information system for flood forecasting, planning and management using remote sensing data with the help of Flood Hazard Maps for different return periods (10, 20, 50 and 100 years), Assess the population vulnerability and physical vulnerability of the lowest administrative division subjected to floods, and using above results conduct a flood risk analysis of the study area.