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Characterization of Topographic Changes Due to Rainfall-Induced Slope Failure Using LiDAR Data
This paper introduces the characterization of changes in topographic parameters occurring due to slope failure by using Digital Elevation Models (DEMs) of different periods. The topographical parameters of the slope failure sites were calculated based on the DEM collected before and after the slope failure. The slope failures were triggered by heavy rainfall that occurred on the 16th and 17th August 2014. The difference in DEMs, pre-event and post-event of the slope failure revealed areas of erosion and sedimentation of less than 5 m that occurred frequently and can be classified as shallow landslides. The slope angle showed an overall tendency to become steeper, both in the scarp and the main body of the landslide. A comparison of landforms of failure sites before and after slope failure suggests that the flat slopes have changed to hollow or spur-type terrain forms. Further, the terrain Convergence Index (CI) was higher due to the occurrence of slope failure and the valley topography becoming more developed. Change Vector Analysis (CVA) of geomorphological parameters revealed that it has become easier not only to identify the slope failure location but also to detect changes in the slope morphology. The results obtained in this study can aid in the automatic detection of slope failure. Further, the studies also show good potential to generate a more detailed and descriptive slope failure inventory, including information on the location, shape, morphology, and flow direction, which will be useful for understanding and predicting future failures.
Characterization of Topographic Changes Due to Rainfall-Induced Slope Failure Using LiDAR Data
This paper introduces the characterization of changes in topographic parameters occurring due to slope failure by using Digital Elevation Models (DEMs) of different periods. The topographical parameters of the slope failure sites were calculated based on the DEM collected before and after the slope failure. The slope failures were triggered by heavy rainfall that occurred on the 16th and 17th August 2014. The difference in DEMs, pre-event and post-event of the slope failure revealed areas of erosion and sedimentation of less than 5 m that occurred frequently and can be classified as shallow landslides. The slope angle showed an overall tendency to become steeper, both in the scarp and the main body of the landslide. A comparison of landforms of failure sites before and after slope failure suggests that the flat slopes have changed to hollow or spur-type terrain forms. Further, the terrain Convergence Index (CI) was higher due to the occurrence of slope failure and the valley topography becoming more developed. Change Vector Analysis (CVA) of geomorphological parameters revealed that it has become easier not only to identify the slope failure location but also to detect changes in the slope morphology. The results obtained in this study can aid in the automatic detection of slope failure. Further, the studies also show good potential to generate a more detailed and descriptive slope failure inventory, including information on the location, shape, morphology, and flow direction, which will be useful for understanding and predicting future failures.
Characterization of Topographic Changes Due to Rainfall-Induced Slope Failure Using LiDAR Data
Lecture Notes in Civil Engineering
Bui, Dieu Tien (editor) / Hoang, Anh Huy (editor) / Le, Thi Trinh (editor) / Vu, Danh Tuyen (editor) / Raghavan, Venkatesh (editor) / Ueda, Mitsunori (author) / Nemoto, Tatsuya (author) / Raghavan, Venkatesh (author) / Masumoto, Shinji (author)
International Conference on Geoinformatics for Spatial-Infrastructure Development in Earth & Allied Sciences ; 2023 ; Ha Noi, Vietnam
Geoinformatics for Spatial-Infrastructure Development in Earth and Allied Sciences ; Chapter: 19 ; 340-361
2024-09-28
22 pages
Article/Chapter (Book)
Electronic Resource
English
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