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Proceedings Paper

UAV for landslide mapping and deformation analysis
Author(s): Beiqi Shi; Chun Liu
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Paper Abstract

Unmanned aerial vehicle (UAV) can be a flexible, cost-effective, and accurate method to monitor landslides with high resolution aerial images. Images acquired on 05 May 2013 and 13 December 2014 of the Xishan landslide, China, have been used to produce a high-resolution ortho-mosaic of the entire landslide and digital elevation model (DEM). The UAV capability for imaging detection and displacements on the landslide surface has been evaluated, and the subsequent image processing approaches for suitably georectifying the data have been assessed. Objects derived from the segmentation of a multispectral image were used as classifying units for landslide object-oriented analysis. Spectral information together with various morphometric characteristics was applied for recognizing landslides from false positives. Digital image correlation technique was evaluated to quantify and map terrain displacements. The magnitude and direction of the displacement vectors derived from correlating two temporal UAV images corresponded to a visual interpretation of landslide change. Therefore, the UAV can demonstrate its capability for producing valuable landslide mapping data and deformation information.

Paper Details

Date Published: 9 December 2015
PDF: 12 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98080P (9 December 2015); doi: 10.1117/12.2207411
Show Author Affiliations
Beiqi Shi, Shanghai Normal Univ. (China)
Chun Liu, Tongji Univ. (China)


Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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