Mapping of potential flooding by integrating remote sensing data and GIS (case study: Klaten district)

Flood disasters cause material and human damage every year. This is due to high and uneven rainfall in an area. One of the areas in Indonesia that are affected by the flood is Klaten Regency. Therefore, it is necessary to detect the potential for flooding that can be used as a base for developing suitable management. This paper aims to map the potential for flooding by utilizing remote sensing data and GIS. Aspects used as criteria are rainfall, slope, soil type, geological conditions, rivers, normalized difference vegetation index, normalized difference water index, and land use. Based on the results, Klaten Regency has two sub-districts with a high flood hazard category, 21 sub-districts with a moderate category, and three sub-districts with a low category. Bayat and Cawas are sub-districts that have a high flood hazard category. Meanwhile, Kemalang, Karangnongko, and Polanharjo are sub-districts with a low flood hazard category. The main factors for flooding in Klaten Regency are slope, land use, and is crossed by the Dengkeng river.