Háskóli ÍslandsUniversity of IcelandDabiri, ZahraHölbling, DanielAbad, LorenaHelgason, Jón KristinnSaemundsson, ThorsteinnTiede, Dirk2020-11-172020-11-172020-08-24Dabiri, Z.; Hölbling, D.; Abad, L.; Helgason, J.K.; Sæmundsson, Þ.; Tiede, D. Assessment of Landslide-Induced Geomorphological Changes in Hítardalur Valley, Iceland, Using Sentinel-1 and Sentinel-2 Data. Applied Sciences 2020, 10, 5848.2076-3417https://hdl.handle.net/20.500.11815/2213Publisher's version (útgefin grein)Landslide mapping and analysis are essential aspects of hazard and risk analysis. Landslides can block rivers and create landslide-dammed lakes, which pose a significant risk for downstream areas. In this research, we used an object-based image analysis approach to map geomorphological features and related changes and assess the applicability of Sentinel-1 data for the fast creation of post-event digital elevation models (DEMs) for landslide volume estimation. We investigated the Hítardalur landslide, which occurred on the 7 July 2018 in western Iceland, along with the geomorphological changes induced by this landslide, using optical and synthetic aperture radar data from Sentinel-2 and Sentinel-1. The results show that there were no considerable changes in the landslide area between 2018 and 2019. However, the landslide-dammed lake area shrunk between 2018 and 2019. Moreover, the Hítará river diverted its course as a result of the landslide. The DEMs, generated by ascending and descending flight directions and three orbits, and the subsequent volume estimation revealed that-without further post-processing-the results need to be interpreted with care since several factors influence the DEM generation from Sentinel-1 imagery.5848eninfo:eu-repo/semantics/openAccessDigital elevation modelIcelandInSARLandslideLandslide dammed lakeObject based image analysisRiverSentinel-1Sentinel-2SkriðuföllÁhættugreiningFjarkönnuninfo:eu-repo/semantics/articleApplied Sciences10.3390/app10175848