Landslide Detection Using DInSAR Technique: A Case Study

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Landslide: Susceptibility, Risk Assessment and Sustainability

Part of the book series: Advances in Natural and Technological Hazards Research ((NTHR,volume 52))

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Abstract

This work aimed to utilize the capabilities of the Interferometric Synthetic Aperture Radar (InSAR) technique to assess the slope instability condition in part of Himachal Pradesh, India. India is one of the countries to report the largest number of landslide events, especially in the monsoon season. The Himalayan regions in India are prone to heavy precipitation (rainfall) which loosens the soil and causes slope displacement. This study involves the rain-induced (pre and post-event) landslide study to detect the magnitude of ground deformation in Bariara village in district Kangra, Himachal Pradesh, India. In this study, the microwave repeat pass Interferometric Synthetic Aperture Radar (InSAR) technique was used for deducing the slope deformations. Two SAR imageries were used to detect the phase difference for develo** the deformation map showing a downslope movement of almost 1.5 m. The results from the interferometric method have been cross-validated by data collected from the field survey. This study aimed to find the absolute rate of movement of a Himalayan landslide using the DInSAR method and has effectively added to the landslide literature for extensive future research in this study area.

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Acknowledgements

The authors would like to thank the Amity Institute of Remote Sensing and GIS for administrative and logistic support during the research work. The authors also thank the editors for the smooth submission and review process.

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Correspondence to Swati Sharma .

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Sharma, S., Kumar, R., Nandakishore (2024). Landslide Detection Using DInSAR Technique: A Case Study. In: Panda, G.K., Shaw, R., Pal, S.C., Chatterjee, U., Saha, A. (eds) Landslide: Susceptibility, Risk Assessment and Sustainability. Advances in Natural and Technological Hazards Research, vol 52. Springer, Cham. https://doi.org/10.1007/978-3-031-56591-5_18

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