Abstract
Based on Remote Sensing (RS), Geographic Information System (GIS), and combining Principal Component Analysis, this paper designed a numerical integrated evaluation model for mountain eco-environment on the base of grid scale. Using this model, we evaluated the mountain eco-environmental quality in a case study area—the upper reaches of Minjiang River, and achieved a good result, which accorded well with the real condition. The study indicates that, the integrated evaluation model is suitable for multi-layer spatial factor computation, effectively lowing man's subjective influence in the evaluation process; treating the whole river basin as a system, the model shows full respect to the circulation of material and energy, synthetically embodies the determining impact of such natural condition as water-heat and landform, as well as human interference in natural eco-system; the evaluation result not only clearly presents mountainous vertical distribution features of input factors, but also provides a scientific and reliable thought for quantitatively evaluating mountain eco-environment.
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Foundation item: supported by the World Bank Project (A3, CAS) and the National High Technology Research and Development Program of China (863 Program, 2003AA131051)
Biography: LI Ainong (1974-), male, Ph. D. candidate, Associate Researcher Professor, working in institute of atmospheric physics, research direction: the technology construct and application of RS, GIS and GPS, sustainable development and environmental management.
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Ainong, L., Angsheng, W., Xiaorong, H. et al. Integrated evaluation model for eco-environmental quality in mountainous region Based on Remote Sensing and GIS. Wuhan Univ. J. Nat. Sci. 11, 969–976 (2006). https://doi.org/10.1007/BF02830196
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DOI: https://doi.org/10.1007/BF02830196
Key words
- eco-environment
- evaluation model
- spatial principal component analysis
- RS (remote sensing)
- GIS (geographic information system)