Application of light remote sensing data in monitoring the relationship between the expansion of human construction and its influencing factors

doi:10.14088/j.cnki.issn0439-8114.2019.16.031

Abstract

Abstract: It is necessary to know the dynamic of human construction expansion to assess the ecological environment and social impact. Based on the multi-source remote sensing data such as DMSP/OlS, Landsat, and other remote sensing data, the threshold segmentation method is used to extract the range of human construction activities in Panxi mining area from 2000 to 2013, and study its dynamic characteristics with fractal theory, finally, the regression analysis method is used to study the influencing factors. The results show that the light remote sensing data can extract the range of human construction activity well, its fractal dimension shows the change trend of increasing first and then stabilizing The Pixel brightness of the light data is correlated with the population quantity, mining area and economy, etc. The research results will provide a scientific basis for the optimization of land use patterns and the formulation of policies such as population and economy.

Key words: light remote sensing data, fractal theory, correlation analysis, Panxi mining area

CLC Number:

TP79

YU Shu-lin, LUO Yong. Application of light remote sensing data in monitoring the relationship between the expansion of human construction and its influencing factors[J]. HUBEI AGRICULTURAL SCIENCES, 2019, 58(16): 133-138.

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