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Eco-environment Quality Evaluation of Rare Earth Ore Mining Area Based on Remote Sensing Techniques

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Geo-Informatics in Resource Management and Sustainable Ecosystem

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 398))

Abstract

In this paper, we took LongNan County in JiangXi Province as a study area, and built up an eco-environment equality evaluation mode based on grids using remote sensing techniques to get the regional features of eco-environment and to assess the ecological and environmental equality of rare earth ore mining area. The result shows that 62.16% of the whole area in LongNan County is a better grade of the eco-environmental equality. However, 10.54% of the whole area maintained a bad or worse grade. There into, 0.59% of the total area is a worse grade. From the spatial distribution, the area which is a better grade of the eco-environmental equality mainly concentrated in forestland with high vegetation coverage and high biological abundance; on the contrary, the area which is a worst grade mainly located in the rare earth ore mining area. It was concluded that the status of eco-environment quality of LongNan County in 2010 was in a good grade, and rare earth ore mining activities destroyed the eco-environment status seriously. The study will provide a support and decision-making for the relevant department to set up plans for mineral resource exploitation, it has an important significance.

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References

  • Environmental protection industry of the People’s Republic of China (HJ/T 192-2006), Technical Criterion for Eco-environmental Status Evaluation (on trail) (2006)

    Google Scholar 

  • Wang, Y., Gong, H.-L., Li, X.-J.: The Monitoring and Analysis of Ecological Environment Quality of Beijing Based on GIS. Remote Sensing for Land & Resources (1), 91–97 (2008)

    Google Scholar 

  • Jiang, Z.-L., Sha, J.-M., Yang, W.-N.: Multiple Factors-Based on Remote Sensing Evaluation of Ecological Environment in Fuzhou. Remote Sensing for Land & Resources 61(3), 46–48 (2004)

    Google Scholar 

  • Tao, X.: Eco-environment evaluation based on 3S technology in Linfen city. In: ShanXi Normal University, Master Dissertation (2012)

    Google Scholar 

  • Hu, Y.-L., Wang, P., Zhang, L.-P., et al.: Application of Remote Sensing in Mining Area Ecology Environment Evaluation. Resource Development & Market 27(7), 584–586 (2011)

    Google Scholar 

  • Wang, S.-X., Zhou, Y., Yao, Y., et al.: Ecological environment condition evaluation mode of county region based on remote sensing techniques. China Environmental Science 32(1), 181–186 (2012)

    MATH  Google Scholar 

  • Li, H., Manjunath, B.S., Mitra, S.K.: Multesensor Image Fusion Using the Wavelet Transform. Graphical Models and Image Processing 57(3), 235–245 (1995)

    Article  Google Scholar 

  • Zhang, Z., Blum, R.S.A.: Categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application. Proceeding of IEEE 87(8), 1305–1326 (1999)

    Google Scholar 

  • Baatz, M., Benz, U., Dehghani, S., Heynen, M., et al.: eCognition Professional: User Guide4. Defiiens-Imaging, Munich (2004)

    Google Scholar 

  • Meng, Y., Zhao, G.-X.: Ecological environment condition evaluation of estuarine area based on quantitative remote sensing. China Environmental Science 29(2), 163–167 (2009)

    Google Scholar 

  • Miao-miao, L.I., Bing-fang, W.U., Chang-zhen, Y.A.N., et al.: Estimation of Vegetation Fraction in the Upper Basin of Miyun Reservior by Remote Sensing. Resources Science 26(4), 153–159 (2004)

    Google Scholar 

  • Water Conservancy industry Standard of the People’s Republic of China, Standards for Classification and gradation of Soil erosion (SL 190-2007). In: Water Resources Ministry of the People’s Republic of China Publication (2007)

    Google Scholar 

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Peng, Y., He, G., Jiang, W. (2013). Eco-environment Quality Evaluation of Rare Earth Ore Mining Area Based on Remote Sensing Techniques. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_26

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  • DOI: https://doi.org/10.1007/978-3-642-45025-9_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45024-2

  • Online ISBN: 978-3-642-45025-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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