Detecting large-scale landslides using lidar data and aerial photos in the Namasha-Liuoguey area, Taiwan

Meei Ling Lin, Te Wei Chen, Ching Weei Lin, Dia Jie Ho, Keng Ping Cheng, Hsiao Yuan Yin, Mei Chen Chen

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Large-scale landslides often cause severe damage to lives and properties; therefore, their identification is essential in order to adopt proper mitigation measures. The objective of this study was to set up a methodological approach to help identify large-scale landslides using Lidar data, aerial photos and field investigation. The selected study areas were the Namasha and Liuoguey Areas in Kaohsiung City, Taiwan, both of which were severely hit by the Typhoon Morakot in 2009. The identification of large-scale landslides was performed based on Lidar high-resolution topographic information. The linear structures were mapped according to the shading map, with aspect in different azimuth to show good details of the structures. The scarps of the landslides were also identified. Validation of the results was done using both aerial photos and field investigations. In addition, stability analyses were performed on designated cases to further validate the results of Lidar identification.

Original languageEnglish
Pages (from-to)42-63
Number of pages22
JournalRemote Sensing
Volume6
Issue number1
DOIs
Publication statusPublished - 2013 Dec 1

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

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