Landslide Area Mapping Using Synthetic Aperture Radar (SAR) Data: the Case of The 2018 Naga Landslide

The use of satellite-based remote sensing data to investigate ground surface conditions has recently been growing. Specifically, synthetic aperture radar (SAR) data have successfully been utilized to detect ground surface deformations and damaged area mapping. This study uses Sentinel-1 SAR data to map the 2018 Naga landslide area in Cebu Island in the Philippines. The intensity and coherence difference analyses were conducted to detect surface changes resulting from the landslide. The amplitude- and coherence-based results coincide with the actual landslide area and successfully map ground surface mass movement using pre- and post-failure SAR images. This paper presents the unique advantages and potential of Sentinel-1 SAR data for landslide area mapping in large-scale open-pit mining sites for rapid disaster impact assessment.