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A pixel transform-based land cover change detection approach: A case study of Beijing City |
Bing YU1,2, Jiyan WANG1, Yong SU1, Dongsheng XIAO1, Fuzhen LIU1 |
1. School of Civil Engineering and Architecture, Southwest Petroleum University, Chengdu 610500, China 2. The Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology, Nanchang 330013, China |
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Abstract Pixel overlay and comparative methods have been widely used to detect land use/ cover change. In view of such a situation, the authors propose a pixel transform-based change detection method for land cover data in this study. This method is an extended method of pixel overlay analysis, and it supports change detection of diverse land cover types synchronously for different time phases. According to the re-definition of the type code and through map overlay analysis and zone statistical analysis for different phases of land cover maps, the authors quantified every cover changes and displayed the changes spatial distribution. Taking two phases data of Beijing in 2000 and 2010 as a study case, the authors applied this detection method for different categories of land cover with different ranges. The results show more accuracy land cover classes change, and the practicability and applicability of the extended change detection method are accordingly verified.
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Keywords
GlobeLand30
land cover change
conversion of the land use types
spatial and temporal changes
driving force
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Issue Date: 10 September 2018
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