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Proceedings Paper

The research of remote sensing in karst collapse remote sense based on airborne LiDAR system: taking Meitanba mining area in Hunan Province as an example
Author(s): Zhihong An; Hao Wang; Fang Wu; Zhaocheng Guo
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Paper Abstract

Taking Meitanba mining area in Hunan Province as an example, by using the achieved high accuracy and high resolution point-cloud data and digital image data by airborne LiDAR system, this research built the 3D landform of the vegetation-covered areas, got the features of micro landform in the areas, and offered quantity factors for research of geo phenomenon which related to regional landforms and geoscience process. Based on the high accuracy data from airborne LiDAR system and combined with the basic data of geology,the forming mechanism of the karst collapse of Meitanba mining area in Hunan Province and the relationship of surface collapse and mining activities are analyzed. The research mentioned that the reason of the karst collapse in Meitanba mining area is with the basic conditions of forming karst landform and plus the increasing water flow and exchange rate of the underground water, and then the water level decrease, finally different degrees of the regional karst collapse have happened.

Paper Details

Date Published: 18 November 2014
PDF: 6 pages
Proc. SPIE 9299, International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications, 92990Z (18 November 2014); doi: 10.1117/12.2072649
Show Author Affiliations
Zhihong An, China Aero Geophysical Survey & Remote Sensing Ctr. for Land and Resources (China)
Hao Wang, China Aero Geophysical Survey & Remote Sensing Ctr. for Land and Resources (China)
Fang Wu, China Aero Geophysical Survey & Remote Sensing Ctr. for Land and Resources (China)
Zhaocheng Guo, China Aero Geophysical Survey & Remote Sensing Ctr. for Land and Resources (China)


Published in SPIE Proceedings Vol. 9299:
International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications
Anatoli G. Borovoi; Dong Liu, Editor(s)

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