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- W2357170481 abstract "In order to explore an effective remote sensing method to mine vegetation contamination recognition,the authors recognized mine vegetation contamination of Dabaoshan mine in Guangdong Province,used the two methods of vegetation index and vegetation greenness,based on ASTER and QuickBird data. Through contrast analysis of different data sources,different recognition methods,the authors could provide a scientific basis and good working thought for the recognition of mine vegetation contamination using remote sensing technology." @default.
- W2357170481 created "2016-06-24" @default.
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- W2357170481 date "2014-01-01" @default.
- W2357170481 modified "2023-09-22" @default.
- W2357170481 title "Study on recognition of vegetation contamination by remote sensing in Dabaoshan mine of Guangdong" @default.
- W2357170481 hasPublicationYear "2014" @default.
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