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Remote Sens. 2014, 6(1), 42-63; doi:10.3390/rs6010042

Detecting Large-Scale Landslides Using Lidar Data and Aerial Photos in the Namasha-Liuoguey Area, Taiwan

1
Department of Civil Engineering, National Taiwan University, No. 1, Sec. 4, Rooservelt Road, Taipei 10617, Taiwan
2
Department of Earth Science, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan
3
Soil and Water Conservation Bureau, Council of Agriculture, Nantou 54044, Taiwan
*
Author to whom correspondence should be addressed.
Received: 30 October 2013 / Revised: 21 November 2013 / Accepted: 9 December 2013 / Published: 19 December 2013

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. View Full-Text
Keywords: large-scale landslide; Lidar technique; shading map; scarps; stability analysis large-scale landslide; Lidar technique; shading map; scarps; stability analysis
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Lin, M.-L.; Chen, T.-W.; Lin, C.-W.; Ho, D.-J.; Cheng, K.-P.; Yin, H.-Y.; Chen, M.-C. Detecting Large-Scale Landslides Using Lidar Data and Aerial Photos in the Namasha-Liuoguey Area, Taiwan. Remote Sens. 2014, 6, 42-63.

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