Detection and Mapping Landslides Using Persistent Scatterer Interferometry Method and Sentinel 1 SAR Data, Dessie Area, Ethiopia
| dc.contributor.advisor | Binyam Tesfaw | |
| dc.contributor.author | Abel Mesele | |
| dc.date.accessioned | 2025-08-18T00:03:58Z | |
| dc.date.available | 2025-08-18T00:03:58Z | |
| dc.date.issued | 2024-05 | |
| dc.description.abstract | One of the highly destructive natural disasters is landslide and pose a serious threat to the safety of people, property, and the social and economic development. In a country like Ethiopia, with a high rugged topography and population, landslide hazard became a threat especially in the highland areas, most populated and surrounding regions. Hence, effective landslide monitoring with high precision and real-time capabilities required to implement proactive measures for disaster preparedness and mitigation. Therefore, a comprehensive approach using Interferometric Synthetic Aperture radar (InSAR) interferometry data is crucial to address the existing gaps in utilizing field survey and optical remote sensing and enhance the understanding of landslide dynamics. This study aims to study and map the surface displacement and to improve the landslide hazard zonation mapping in Dessie town and surrounding Ethiopia. The research used the Persistent Scatterer (PS) InSAR method and Sentinel 1 SAR data in SARPROZ and ArcGIS software. The results were validated using the Landslide inventory from 15 points collected from field observation and secondary data. Eight parameters or factors were identified such as slope, aspect, elevation, lithology, rainfall, land-use, and land-cover, distances from river and road as causes for the occurrence of landslide in the area. The deformation results indicated a maximum displacement (subsidence) of 64.1 mm and a minimum of 19.8 mm/year, with maximum velocity of 0.38 mm per year. The landslide zonation map result shows 1797.09 ha (20.57%), 1716.19ha (19.64%), and 1721.53 ha (19.71%) covered by medium, high, and very high susceptibility, respectively. In addition, most of the high and very high hazard zones are located on north east, central and south west parts of the study area, these areas are directly connected to the topography. Validation results show that (80%) of inventory points are located in high and very hazardous zones. This comprehensive (hybrid) and technologically advanced approach provides valuable insights into landslide occurrences in the study area, aiding in effective hazard assessment and mitigation strategies for the region. | |
| dc.identifier.uri | https://etd.aau.edu.et/handle/123456789/6961 | |
| dc.language.iso | en_US | |
| dc.publisher | Addis Ababa University | |
| dc.subject | Displacement | |
| dc.subject | PSInSAR | |
| dc.subject | Landslide | |
| dc.subject | Landslide Hazard Zone | |
| dc.subject | SARPROZ | |
| dc.subject | Sentinel 1 | |
| dc.title | Detection and Mapping Landslides Using Persistent Scatterer Interferometry Method and Sentinel 1 SAR Data, Dessie Area, Ethiopia | |
| dc.type | Thesis |