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Mass movement analysis to identify landslides in Tawangmangu district using the DInSAR method.
- Source :
-
AIP Conference Proceedings . 2024, Vol. 2926 Issue 1, p1-13. 13p. - Publication Year :
- 2024
-
Abstract
- Indonesia is very prone to hydrometeorological disasters caused by climate change and weather. One of the hydrometeorological disasters that often occur in Indonesia is landslides. Tawangmangu District is one of the areas prone to landslides. The large number of hills that have slopes with moderate to very steep slopes makes Tawangmangu District prone to mass movements. Monitoring of mass movements can be done by a remote sensing approach. The purpose of this study is to estimate mass movement using Sentinel-1 remote sensing data to identify the occurrence of landslides. Remote sensing data processing in this study uses the DinSAR (Differential Interferometry Synthetic Radar) technique. This technique is used to find the phase difference between two images with different recording dates. The analysis in this study uses integration between remote sensing and GIS (Geospatial Information System). The output resulting from data processing is a map of estimated mass movements in the Tawangmangu District. The results of this study indicate that Bandardawung Village has the largest average value of estimated mass movement, namely -0.039 m/year. While the smallest is Tengklik Village of -0.0118 m/year. The landslide points that have occurred in Tawangmangu District have a correlation with the estimated average value of mass movement in each village. The estimated mass movement that occurs in the Tawangmangu District ranges from 0.003 – 0.074 m/year. Based on the quantity of mass movement, the red color on the estimated mass movement map is a landslide disaster in 2017 which is to the south of Kalisoro Village. The location of the incident is in the red area with an estimated mass movement value of 0.074 m/year. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2926
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 174843650
- Full Text :
- https://doi.org/10.1063/5.0185057