Remote Sensing Technology and Application, Volume. 39, Issue 5, 1271(2024)

Extraction of Typical Vegetation Communities in Poyang Lake Wetland based on Time Series Sentinel-2 Images

Bin LI, Ai Zhu ZHANG, Gen Yun SUN*, Zhao Jie PAN, and Yang FU
Author Affiliations
  • College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao266580, China
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    Figures & Tables(10)
    Location of the study area and sample distribution
    Overall technical process
    Time series curve diagram of wetland information in protected areas
    Feature variable importance (top 30)
    Feature box plot based on statistical-temporal feature set
    Results of poyang lake wetland information extraction
    Information area and proportion of wetlands in protected areas
    • Table 1. Sentinel-2 spectral index description

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      Table 1. Sentinel-2 spectral index description

      ID特征缩写特征描述
      1~136光谱波段BB2,B3,B4,B5,B6,B7,B8,B8A
      137~153传统光谱指数NDVINDVI=(B8-B4)/(B8+B4)
      154~170NDWINDWI=(B3-B8)/(B3+B8)
      171~187SAVISAVI=1.5×(B8-B4)/(B8+B4+0.5)
      188~204DVIDVI=B8-B4
      205~221RVIRVI=B8/B4
      222~238MASVIMASVI=2×B8+1-2×B8+12-8×B8-B4
      239~255红边光谱指数NDVIre1NDVIre1=(B8-B5)/(B8+B5)
      256~272MTCIMTCI=(B6-B5)/(B5-B4)
      273~289MCARI2MCARI2=((B6-B5)-0.2×(B6-B3))×(B6/B5)
      290~306IRECIIRECI=(B7-B4)/(B5/B6)
    • Table 2. Feature selection

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      Table 2. Feature selection

      特征类型名称描述特征提取
      统计特征Min时间序列最小值ee.Reducer.min()
      Max时间序列最大值ee.Reducer.max()
      StdDev时间序的标准差ee.Reducer.StdDev()
      median时间序列的中值ee.Reducer.median()
      时间特征Percentile10时间序列在10%四分位数处的值ee.Reducer.percentile([10,25,50,75,90])
      Percentile25时间序列在25%四分位数处的值
      Percentile50时间序列在50%四分位数处的值
      Percentile75时间序列在75%四分位数处的值
      Percentile90时间序列在90%四分位数处的值
      MeanInterval(0,10)时间序列的平均值从0%到10%ee.Reducer.intervalMean(0,10)
      MeanInterval(10,25)时间序列的平均值从10%到25%ee.Reducer.intervalMean(10,25)
      MeanInterval(25,50)时间序列的平均值从25%到50%ee.Reducer.intervalMean(25,50)
      MeanInterval(50,75)时间序列的平均值从50%到75%ee.Reducer.intervalMean(50,75)
      MeanInterval(75,90)时间序列的平均值从75%到90%ee.Reducer.intervalMean(75,90)
      MeanInterval(90,100)时间序列平均值从90%到100%ee.Reducer.intervalMean(90,100)
      MeanInterval(10,90)时间序列的平均值从10%到90%ee.Reducer.intervalMean(10,90)
      MeanInterval(25,75)时间序列的平均值从25%到75%ee.Reducer.intervalMean(25,75)
    • Table 3. Classification result accuracy evaluation

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      Table 3. Classification result accuracy evaluation

      类别芦苇-南荻水体苔草-鶜草滩涂
      776070
      芦苇-南荻2830100
      水体30103011
      苔草-鶜草9130960
      滩涂007066
      PA(%)85.5687.3788.0381.3690.41
      UA(%)84.6281.3793.6484.9685.71
      Kappa:0.83
      OA:86.21%
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    Bin LI, Ai Zhu ZHANG, Gen Yun SUN, Zhao Jie PAN, Yang FU. Extraction of Typical Vegetation Communities in Poyang Lake Wetland based on Time Series Sentinel-2 Images[J]. Remote Sensing Technology and Application, 2024, 39(5): 1271

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    Paper Information

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    Received: Jul. 11, 2022

    Accepted: --

    Published Online: Jan. 7, 2025

    The Author Email: SUN Gen Yun (genyunsun@163.com)

    DOI:10.11873/j.issn.1004-0323.2024.5.1271

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