Abstract
The remote sensing images of Landsat TM and ETM+, June 2000 and 2010, were used to extract the land use information of Diaoluoshan National Forest Park and its surrounding areas by using ERDAS Imagine 9.0. Ten factors, elevation, slope, geological structure, land cover, settlement, the location of Diaoluoshan Nature Reserve, and so on, were chosen to evaluate ecological suitability. Applying the Delphi method to assess the grade and weight of the evaluation indicators, and then on the basis of the 1:50,000 digital topographic map to create digital raster graphics of different assessment factors using Arc GIS 9.1. The regional ecological suitability index (RESI) of each assessment unit was calculated by overlapping of each assessment grid. The RESI value of multifactor weighted superposition was 1.35–4.85 in the research areas, and the land was classified into 5 types, high suitability, suitability, basic suitability, unsuitability, and high unsuitability zone, by using the K-means clustering method. After that, generating spatial distribution map of regional suitability was based on the RESI reclassification, which provided a scientific method for the ecological conservation, resource exploitation, utilization, and management of Diaoluoshan National Forest Park.
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Acknowledgments
Financial support was received from the National Natural Science Foundation of China (No. 40961033 & 41361006) and International Science and Technology Cooperation Program of China (No. 2012DFA11270).
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Lin, Z., Zhao, Cj., Li, Ps. (2014). The Application of RS and GIS in Forest Park Planning: A Case Study of Diaoluoshan National Forest Park. In: Cao, BY., Ma, SQ., Cao, Hh. (eds) Ecosystem Assessment and Fuzzy Systems Management. Advances in Intelligent Systems and Computing, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-319-03449-2_32
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DOI: https://doi.org/10.1007/978-3-319-03449-2_32
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