Paper
24 November 2008 Detection and evaluation on phosphorite mining environment contamination sources using ASTER and DEM
Wei-tao Chen, Zhi Zhang, Zhi-zhong Li, Jun-jie Yang, Li-ping Qian
Author Affiliations +
Proceedings Volume 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China; 712313 (2008) https://doi.org/10.1117/12.816201
Event: Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 2007, Beijing, China
Abstract
The main environment contamination source of the phosphorite mining area, located in Huji city, Hubei province, China, was detected and evaluated using ASTER and DEM. Firstly, the featured spectrum that has unique diagnose spectral feature was generalized after analyzing the types and spectrum characteristics of the sample contamination source in the area. Secondly, the main contamination source of the area was recognized by means of principal component analysis using ASTER band 1-9. And the distributions of them were in accordance with that of phosphorite, carbonate and waste water. Finally, flow accumulation and catchment images were simulated using DEM and GIS. By analyzing the images of the flow accumulation, catchment and contamination source, the authors conclude that large scale opencast phosphorite mining and solid waste materials have damaged mining environment; the disordered piling of solid waste material has been boosting diffusion and migration of harmful and toxic matters; and all of these has damaged heavily ecological environment of lower reaches, and is the potential unsafe factor for that of Hanjiang river also. Keywords: ASTER, DEM, mining contamination, detection and evaluation on contamination sources 1.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei-tao Chen, Zhi Zhang, Zhi-zhong Li, Jun-jie Yang, and Li-ping Qian "Detection and evaluation on phosphorite mining environment contamination sources using ASTER and DEM", Proc. SPIE 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 712313 (24 November 2008); https://doi.org/10.1117/12.816201
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KEYWORDS
Contamination

Mining

Solids

Remote sensing

Environmental sensing

Earth sciences

Geographic information systems

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