Assessment of Landslide-Induced Geomorphological Changes in Hítardalur Valley, Iceland, Using Sentinel-1 and Sentinel-2 Data

• Published in: Applied Sciences
• Main Authors: Zahra Dabiri, Daniel Hölbling, Lorena Abad, Jón Kristinn Helgason, Þorsteinn Sæmundsson, Dirk Tiede
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2020
• Subjects: object-based image analysis; Sentinel-1; Sentinel-2; digital elevation model; InSAR; landslide; Technology; T; Engineering (General). Civil engineering (General); TA1-2040; Biology (General); QH301-705.5; Physics; QC1-999; Chemistry; QD1-999; Dammed Lake; Hítará; Hítardalur; Iceland
• Online Access: https://doi.org/10.3390/app10175848; https://doaj.org/article/ecec97d58a894acabf947ec0cea8ea22

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.