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Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2

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  • Jianfeng Li
  • Biao Peng
  • Yulu Wei
  • Huping Ye

Abstract

To realize the accurate extraction of surface water in complex environment, this study takes Sri Lanka as the study area owing to the complex geography and various types of water bodies. Based on Google Earth engine and Sentinel-2 images, an automatic water extraction model in complex environment(AWECE) was developed. The accuracy of water extraction by AWECE, NDWI, MNDWI and the revised version of multi-spectral water index (MuWI-R) models was evaluated from visual interpretation and quantitative analysis. The results show that the AWECE model could significantly improve the accuracy of water extraction in complex environment, with an overall accuracy of 97.16%, and an extremely low omission error (0.74%) and commission error (2.35%). The AEWCE model could effectively avoid the influence of cloud shadow, mountain shadow and paddy soil on water extraction accuracy. The model can be widely applied in cloudy, mountainous and other areas with complex environments, which has important practical significance for water resources investigation, monitoring and protection.

Suggested Citation

  • Jianfeng Li & Biao Peng & Yulu Wei & Huping Ye, 2021. "Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-17, June.
    • Handle: RePEc:plo:pone00:0253209
    DOI: 10.1371/journal.pone.0253209
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