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Proceedings Paper

Extraction of the land resources in mining area based on TM and INSAR images
Author(s): Lijing Bu; Wenbo Wu; Zhengpeng Zhang
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Paper Abstract

The land information extraction based on remote sensing are the first step to establish the dynamic monitoring system of mining area. This paper discusses TM and INSAR images using for the land information extraction reference to current research. Especially the INSAR technique provides a good solution for mine subsidence monitoring. Use multi temporal TM and INSAR images as data source, analyze the main evolution types of land resources, and build land resources classification system for Shenyang mining area in China. On this basis, through the spectral analysis of TM and the texture analysis of INSAR images, research the extraction model of mining land information. With the help of GIS spatial analysis, extract water, building land, vegetation, farmland, and subsidence land from every temporal image and changed information from adjoining, which will provides the data preparation for the future dynamic monitoring and analysis of land resources in mining areas. The techniques and applications in integrated remote sensing and geographic information systems are also discussed. The applications of monitoring subsidence due to underground mining is used to show the process of how GIS analyzes INSAR result and the effectivity of producing results with GIS functions.

Paper Details

Date Published: 14 November 2007
PDF: 6 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679031 (14 November 2007); doi: 10.1117/12.746847
Show Author Affiliations
Lijing Bu, Liaoning Technical Univ. (China)
Wenbo Wu, Liaoning Technical Univ. (China)
Zhengpeng Zhang, Liaoning Technical Univ. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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