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Proceedings Paper

Study on environment detection and appraisement of mining area with RS
Author(s): Fengjie Yang; Peng Hou; Guangzhu Zhou; Qingting Li; Jie Wang; Jianguang Cheng
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Paper Abstract

In this paper, the big coal mining area Yanzhou is selected as the typical research area. According to the special dynamic change characteristic of the environment in the mining area, the environmental dynamic changes are timely monitored with the remote sensing detection technology. Environmental special factors, such as vegetation, water, air, land-over, are extracted by the professional remote sensing image processing software, then the spatial information is managed and analyzed in the geographical information system (GIS) software. As the result, the dynamic monitor and query for change information is achieved, and the special environmental factor dynamic change maps are protracted. On the base of the data coming from the remote sensing image, GIS and the traditional environment monitoring, the environmental quality is appraised with the method of indistinct matrix analysis, the multi-index and the analytical hierarchy process. At last, those provide the credible science foundation for the local environment appraised and the sustained development. In addition, this paper apply the hyper spectrum graphs by the FieldSpec Pro spectroradiometer, together with the analytical data from environmental chemical, to study the growth of vegetation which were seed in the land-over consisting of gangue, which is a new method to study the impact to vegetation that are growing in the soil.

Paper Details

Date Published: 22 December 2006
PDF: 14 pages
Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 64051O (22 December 2006); doi: 10.1117/12.693462
Show Author Affiliations
Fengjie Yang, Shandong Univ. of Science and Technology (China)
Peng Hou, Shandong Univ. of Science and Technology (China)
Guangzhu Zhou, Shandong Univ. of Science and Technology (China)
Qingting Li, Shandong Univ. of Science and Technology (China)
Jie Wang, Shandong Univ. of Science and Technology (China)
Jianguang Cheng, Shandong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6405:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications
William L. Smith; Allen M. Larar; Tadao Aoki; Ram Rattan, Editor(s)

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