Dissertation > Economic > Agricultural economy > Agricultural economic theory > Land Economics

Multi-temporal Mining Land Use/Cover Change Detection and Driving Factors Analysis

Author MaHongHua
Tutor MaChao
School Henan Polytechnic University
Course Surveying and Mapping Engineering
Keywords Mine Land use classification Maximum likelihood classification Decision tree classification Driving Factors
CLC F301
Type Master's thesis
Year 2011
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In this paper, the use of remote sensing images of the mine land use classification as well as driving factors . Six remote sensing image based on the use of ENVI software Luan mining land use / land cover information extraction , Luan mining land use cover change contribute to a faster, more accurate, efficient , and thus land use / cover change analysis , to clear dynamic process , analysis of land use / cover various driving force behind the change , to reveal the mechanism of land use / cover change , so that the purpose of the adjustment of human social and economic activities , prompting land use is more reasonable , is conducive to the long-term development of the mines , land development services . Carried out the following tasks: 1. Maximum likelihood classification and decision tree classification of mine image . On this basis, compare the pros and cons of the two classification methods . Comparison , the maximum contingent method of classification accuracy of 86.57% , the decision tree classification method of classification accuracy of 89.97% , higher accuracy of decision tree classification , the use of decision tree classification method to be classified in Lu'an Coal Mine Mining Land use / cover change map . System on one of mine ( wangzhuang mine ) analysis, including Wangzhuang mine land use status , land-use change in amplitude , land use / cover changes in speed, spatial variation of the transfer matrix , and trend analysis of the mine . Overall, the reduction in mine vegetation area , building area increased , indicating that the mine increased urbanization phenomenon . Combination obtained from Changzhi Municipal Bureau of Statistics 2003-2007 Changzhi City National Economic and Social Development Statistics announced to select relevant indicators factor , principal component analysis in SPSS17.0 software help , the index factor , to obtain the main driver factor, and the main factor driving factors of natural and cultural analysis .

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