Remote Sensing Technology and Application, Volume. 39, Issue 1, 55(2024)

A Comparative Study of Mangrove Distribution Extraction based on Landsat-8 OLI Images and Spectral Index Methods

Kai LIU1,2、*, Ziyu WANG1,2, and Jingjing CAO1,2
Author Affiliations
  • 1School of Geography and Planning,Sun Yat-sen University,Provincial Engineering Research Center for Public Security and Disaster,Guangdong Key Laboratory for Urbanization and GeoSimulation,Guangzhou 510006,China
  • 2Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),Zhuhai 519000,China
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    Figures & Tables(14)
    Location of the study area
    Flowchart of this study
    The reflectance spectra of mangrove, water body, tidal flat and terrestrial vegetation
    The images of five mangrove indices for Yingluo Bay and Pear Bay
    Histograms of five mangrove indices
    The threshold range of five mangrove indices
    Mangrove distribution results extracted based on five indices and empirical thresholds for Yingluo Bay and Pear Bay
    The distributions of mangrove forests in Pearl Bay, Guangxi
    The distributions of mangrove forests extracted by five improved indices with NDWI optimization for Yingluo Bay and Pear Bay
    Probability map of mangrove distribution using five indices for Yingluo Bay and Pear Bay
    The distributions of Guangxi coastal mangrove forests extracted by MVI after NDWI optimization
    • Table 1. Comparison of mangrove classification accuracies obtained by five indices

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      Table 1. Comparison of mangrove classification accuracies obtained by five indices

      实验区精度指标CMRIMIMMRINDMIMVI
      英罗湾OA79.29%77.96%94.44%84.65%97.42%
      Kappa0.5820.5900.8690.6760.940
      珍珠港OA75.63%89.98%91.12%87.24%97.49%
      Kappa0.5200.7710.7960.7150.938
    • Table 2. Accuracy of mangrove extraction based on five indices and NDWI optimization

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      Table 2. Accuracy of mangrove extraction based on five indices and NDWI optimization

      实验区精度指标CMRIMIMMRINDMIMVI
      英罗湾OA79.29%78.12%97.72%97.87%97.87%
      Kappa0.5820.5700.9470.9490.950
      珍珠港OA75.63%89.98%96.31%97.47%98.16%
      Kappa0.5200.7710.9110.9370.954
    • Table 3. Mangrove areas in Yingluo Bay and Pearl Bay

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      Table 3. Mangrove areas in Yingluo Bay and Pearl Bay

      实验区优化处理CMRIMIMMRINDMIMVI
      英罗湾原始指数1 428.111 700.17922.311 658.19763.43
      优化后1 428.111 699.25824.30772.01740.61
      珍珠港原始指数3 401.651 732.721 204.261 922.38768.88
      优化后3 401.651 727.39868.69845.84731.02
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    Kai LIU, Ziyu WANG, Jingjing CAO. A Comparative Study of Mangrove Distribution Extraction based on Landsat-8 OLI Images and Spectral Index Methods[J]. Remote Sensing Technology and Application, 2024, 39(1): 55

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    Paper Information

    Category: Research Articles

    Received: Dec. 7, 2021

    Accepted: --

    Published Online: Jul. 22, 2024

    The Author Email: LIU Kai (liuk6@mail.sysu.edu.cn)

    DOI:10.11873/j.issn.1004-0323.2024.1.0055

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