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FOREST RESOURCES WANAGEMENT ›› 2021›› Issue (2): 131-139.doi: 10.13466/j.cnki.lyzygl.2021.02.018

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Evaluation of Red Edge of Sentinel-2A in Vegetation Classification of Lakeside Zone

PU Yihan1(), ZHANG Dong2,3, XU Dandan1,4, LUAN Zhaoqing1,4   

  1. 1. College of Biology and the Environment,Nanjing Forestry University,Nanjing 210037,China
    2. State Key Laboratory of Lake Science and Environment,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China
    3. University of Chinese Academy of Sciences,Beijing 100049,China
    4. Co-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,China
  • Received:2021-01-13 Revised:2021-03-25 Online:2021-04-28 Published:2021-06-03

Abstract:

Sentinel-2A image has been widely used in the vegetation growth monitoring field thanks to the advantages of high spatial resolution and continuous times series.Its special settings of the red edge bands ensure it can accurately capture the vegetation red edge features,which can avoid the influence of chlorophyll saturation effect and make it possible for the vegetation classification of high vegetation coverage.This study makes the classification of vegetation community in the lakeside of Taihu lake based on existing knowledge and builds a vegetation red edge slope calculation model to calculate the variation of slope of red edge in 2017.Finally,the results of classification based on normalized vegetation index and quantitative statistics on the separability of different vegetation communities under different classification methods are used as verification.The results show that the slope of the red edge of vegetation has a better effect on the classification of vegetation community in the lakeside zone,and has a more obvious advantage in the period of high vegetation cover.Therefore,it can be concluded that the red edge slope feature of sentinel-2A has a good application in the classification of vegetation community.

Key words: Sentinel-2A, lakeside zone, vegetation classification, slope of red edge, NDVI

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