Abstract
A large number of local people and property losses have been reported in the Rangamati Hill Tracts (RHT) of Bangladesh due to the 17 June 2017 Landslide event. This chapter investigated the actual causes of this landslide event which focuses on the coupling effects of earthquake-rainfall-induced landslide activities that occurred in this area. To know this scenario better, the study considered freely available earth observation multi-temporal Landsat satellite scenes for landslide-induced change assessment. In addition, thirteen associated conditioning factors were integrated within the GIS environment by adopting a multicriteria analytical hierarchy process (AHP) approach to prepare a landslide hazard risk (LHR) map of the study area. The study results quantified 3.81, 3.00, and 8.90% of areas as very high-risk, high, and moderate LHR categories. Moreover, the results also revealed that multiple issues (i.e., earthquakes, heavy rainfall, hill cutting, deforestation, and haphazard human settlement construction on the hill slope) are the main catalysts behind this landslide event. Finally, the study recommends integrated Remote sensing, GIS, and AHP techniques for future landslide risk assessment across the globe.
Original language | English |
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Title of host publication | Landslide: Susceptibility, Risk Assessment and Sustainability : Application of Geostatistical and Geospatial Modeling |
Number of pages | 26 |
Publisher | Springer |
Publication date | 2024 |
Pages | 493-518 |
ISBN (Print) | 978-3-031-56590-8, 978-3-031-56593-9 |
ISBN (Electronic) | 978-3-031-56591-5 |
DOIs | |
Publication status | Published - 2024 |
Series | Advances in Natural and Technological Hazards Research |
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Volume | 52 |
ISSN | 1878-9897 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keywords
- 2017 Rangamati Landslide
- Analytical hierarchy process
- Earthquake
- GIS
- Rainfall
- Risk