Landslide Mapping from the Cylcone Seroja in Kupang City Using Remote Sensing

Abstract

On April 2-4, 2021, severe cyclone Seroja occurred in Kupang City, resulting in a landslide hazard. Landslide disaster management is essential for disaster mitigation. However, the susceptibility landslide map for the cyclone Seroja in Kupang City has not yet been done. In this paper, we map landslide locations using remote sensing. We used free remote sensing data. The data are Landsat 8 imagery, Digital Elevation Model (DEM), and rainfall. To create a landslide map in Kupang City, we overlaid three maps. Those are landcover, slope and rainfall maps. We created a landcover map using the Landsat 8 imagery. The landcover types were classified using the Supervised Classification method of Support Vector Machines (SVM) in the QGIS software. Each land cover type was determined based on training sites taken in the field using GPS. DEM was used to create a slope map. We used the accumulative rainfall data for three days to map the rainfall. For data validation, we took GPS points from the landslide locations. The study result shows a landslide map in Kupang City after cyclone Seroja. This work informs that remote sensing can be used to determine the location of landslides in inaccessible areas. Remote sensing can also be used to map landslide areas with a limited budget and limited data.