Landslide is among hazardous kind of disasters, which claiming many of lives and billions of dollars of damages in property every year. Detecting the spatial distribution of landslides is highly important in decision making. Interferometry synthetic aperture RADAR (InSAR) is a technique have been employed in many studies, including land surface deformation. The Google Earth (GE) with images in high spatial resolution provide a potential for regional landslide mapping, especially in vegetated areas, where landslides creates bare lands. This study aims to detect landslide locations using integration of InSAR technique, Google Earth images and extensive field survey in a part of Cameron Highlands, Pahang, Malaysia. A pair of synthetic aperture RADAR (SAR) images were acquired from scihub.copernicus.eu website. In order to extract surface deformation, either imageries were pre-processed and processed through sentinel application platform (SNAP) software. A total number of 152 landslide locations were extracted from phase, coherence and unwrapped bands with the help of the Google Earth images, where they were overlaid on the Google Earth and by zooming in deformed surfaces the landslide locations were identified, extracted and converted into layer format using Geographical Information System (GIS). Geographical Positioning System (GPS) was utilized for validation purposes.
