| Summary: | Landslides are the most common types of geological and environmental conditions, as well as long-term and short-term geological processes. Various extreme events, such as earthquakes, heavy precipitation, flooding, and anthropogenic actions, among others, cause landslides. InSAR is (Interferometric Synthetic Aperture Radar) technique is widely used for detecting and monitoring land surface deformation, including landslides. This technique measures the changes in the surface elevation by analyzing the phase differences of radar signals between two or more satellite images acquired at different times. In this research study, the main aim is to show how effective InSAR is until it can detect landslides using SNAP software. The data used is sentinel-1(S-1), obtained from Earth Science Data Systems (ESDS) Program and the area selected is Hulu Langat district. It processed by SNAP software using S-1 data are free and openly accessible via various sources. Next, the final product from the SNAP software will be Georeferenced in ArcGIS.The InSAR method utilised in the field of study is due to a suitable study area for this technique which is hilly with a mix of urban and rural divided. Most of the landslides in Malaysia, specifically at Hulu Langat, are on a small scale, which is the InSAR technique that can detect it. The coherence image showed that black represents water and vegetation areas while white represents buildings, rocks, and roads. This research showed that InSAR can help detect natural events which are landslides significantly using the SNAP software. The result showed a phase and coherence map. © 2023 Elsevier Ltd
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