Extracting Digital Elevation Model (DEM) from SENTINEL-1 Satellite Imagery: Case Study a part of Cameron Highlands, Pahang, Malaysia
Because of simple structure and high applicability, Digital elevation model (DEM) plays a significant role in hazard studies. DEM is widely used as a basic source of data in many environmental fields. SENTINEL-1 is one of the most applicable tools for terrain data generation. Regarding online availability and its significance in interferometry studies, SENTINEL-1 satellite imagery in different areas is drawing scholar’s attentions worldwide. Our purpose in this study is to create high resolution DEM from SENTINEL-1 satellite imagery for a part of Cameron Highlands, Pahang, Malaysia. However, we acquired a pair of SENTINEL-1 satellite images for the dates 25/02/2015 and 29/10/2016 through scihub.copernicus.eu website. Using Interferometry Synthetic Aperture Radar (InSAR) technique and Sentinel Application Platform (SNAP) software we generated DEM with 10*10 resolution. Results indicate that this method is highly effective for extracting high resolution DEM from SENTINEL-1 satellite products. Furthermore, using linear regression and standard errors of the estimate model using Statistical Package for the Social Sciences (SPSS) software the extracted DEM was validated. Moreover, this study can be a platform for those who want to generate high resolution DEM for their scope of the study.
Keywords - Digital Elevation Model, SENTINEL-1, Cameron Highlands, Malaysia