Landslide detection by indices of LiDAR point-cloud density

Jin King Liu*, Wei Chen Hsu, Mon Shieh Yang, Yu Chung Shieh, Tian-Yuan Shih

*此作品的通信作者

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

The deliverables of an airborne LiDAR survey usually include all points, ground points, digital surface models (DSM) and digital elevation models (DEM). Indices of point clouds tested in this study include density of all points, density of ground points, density of only returns, and density of multiple returns. Shallow landslides are the most common landslides triggered by torrential rainfalls and explicit fresh scars after rainfall events. Multiple returns in forest area give the possibility of differentiating landslide scars from vegetated lands. Classification results from the indices derived from these four kinds of densities are verified by the result obtained by manual interpretation of the derived nDSM images. The experiment is carried out using the dataset obtained in I-Lan County after Typhoon Kalmaegi on 17 July 2008. The results show that a proper definition of the parameters for the indices is most critical for the detection of shallow landslides.

原文English
主出版物標題2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
頁面3960-3963
頁數4
DOIs
出版狀態Published - 1 12月 2010
事件2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 - Honolulu, HI, United States
持續時間: 25 7月 201030 7月 2010

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
國家/地區United States
城市Honolulu, HI
期間25/07/1030/07/10

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