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Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2
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(AW...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213045/ https://www.ncbi.nlm.nih.gov/pubmed/34143822 http://dx.doi.org/10.1371/journal.pone.0253209 |
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author | Li, Jianfeng Peng, Biao Wei, Yulu Ye, Huping |
author_facet | Li, Jianfeng Peng, Biao Wei, Yulu Ye, Huping |
author_sort | Li, Jianfeng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8213045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82130452021-06-29 Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2 Li, Jianfeng Peng, Biao Wei, Yulu Ye, Huping PLoS One Research Article 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. Public Library of Science 2021-06-18 /pmc/articles/PMC8213045/ /pubmed/34143822 http://dx.doi.org/10.1371/journal.pone.0253209 Text en © 2021 Li et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Li, Jianfeng Peng, Biao Wei, Yulu Ye, Huping Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2 |
title | Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2 |
title_full | Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2 |
title_fullStr | Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2 |
title_full_unstemmed | Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2 |
title_short | Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2 |
title_sort | accurate extraction of surface water in complex environment based on google earth engine and sentinel-2 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213045/ https://www.ncbi.nlm.nih.gov/pubmed/34143822 http://dx.doi.org/10.1371/journal.pone.0253209 |
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