標題: A GEOMORPHOLOGICAL MODEL FOR LANDSLIDE DETECTION USING AIRBORNE LIDAR DATA
作者: Liu, Jin-King
Hsiao, Kuo-Hsin
Shih, Peter Tian-Yuan
土木工程學系
Department of Civil Engineering
關鍵字: digital elevation models;geohazards;landscape change;topographic signature
公開日期: 1-十二月-2012
摘要: This study analyzes multi-temporal LiDAR data of high accuracy and high resolution by installing a geomorphometric model for extracting landslides. First, two sets of LiDAR data were acquired for before and after a heavy rainfall event. The landslides which took place from 2005 to 2009 were classified automatically by satellite images, and subsequently the landslides were interpreted and edited manually. Geomorphometric parameters including slope, curvature, OHM, OHM roughness, and topographic wetness index were then extracted using stencils of landslide polygons overlaid on respective thematic maps derived from LiDAR, DEM and DSM. The ranges of every parameter were derived from the statistics of the landslide area. Some selected non-morphometric parameters were also included in a later stage to account for all possible features of landslides, such as vegetation index and geological strength. The ranges of the parameters of landslides were optimized for the model by the statistics of the landslide area. The overall accuracy predicted by the model was 64.9%. When the buffer zones of old landslides and riverside areas were included, the overall accuracy was 64.4%, showing no improvement. When landslides smaller than 50 m(2) were filtered, the 2009, respectively. The results show that the geomorphological model proposed in this research is effective for landslide extraction.
URI: http://dx.doi.org/10.6119/JMST-012-0412-1
http://hdl.handle.net/11536/20846
ISSN: 1023-2796
DOI: 10.6119/JMST-012-0412-1
期刊: JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN
Volume: 20
Issue: 6
起始頁: 629
結束頁: 638
顯示於類別:期刊論文