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Metal Mine ›› 2023, Vol. 52 ›› Issue (01): 55-64.

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Applicability Analysis of LandTrendr and CCDC Algorithms for Vegetation Damage Identification in Shendong Coal Base

LI Jun1,2 ZHANG Yicong1 ZHANG Caiyue1 XIE Huizhen1 ZHANG Chengye1,2DU Menghao1 WANG Yaying1 #br#   

  1. 1. College of Geoscience and Surveying Engineering,China University of Mining and Technology-Beijing,Beijing 100083,China;2. State Key Laboratory of Coal Resources and Safe Mining,Beijing 100083,China
  • Online:2023-01-15 Published:2023-02-03

Key words: vegetation damage identification,LT,CCDC,GEE,long time series,Landsat