Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine
Tidal flats are one of the most productive ecosystems on Earth, providing essential ecological and economical services. Because of the increasing anthropogenic interruption and sea level rise, tidal flats are under great threat. However, updated and large-scale accurate tidal flat maps around the Bo...
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MDPI AG
2022-04-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/14/8/1789 |
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author | Maoxiang Chang Peng Li Zhenhong Li Houjie Wang |
author_facet | Maoxiang Chang Peng Li Zhenhong Li Houjie Wang |
author_sort | Maoxiang Chang |
collection | DOAJ |
description | Tidal flats are one of the most productive ecosystems on Earth, providing essential ecological and economical services. Because of the increasing anthropogenic interruption and sea level rise, tidal flats are under great threat. However, updated and large-scale accurate tidal flat maps around the Bohai and Yellow Seas are still relatively rare, hindering the assessment and management of tidal flats. Based on time-series Sentinel-2 imagery and Google Earth Engine (GEE), we proposed a new method for tidal flat mapping with the Normalized Difference Water Index (NDWI) extremum composite around the Bohai and Yellow Seas. Tidal flats were derived from the differences of maximum and minimum water extent composites. Overall, 3477 images acquired from 1 Oct 2020 to 31 Oct 2021 produced a tidal flat map around the Bohai and Yellow Seas with an overall accuracy of 94.55% and total area of 546,360.2 ha. The resultant tidal flat map at 10 m resolution, currently one of the most updated products around the Bohai and Yellow Seas, could facilitate the process of sustainable policy making related to tidal flats and will help reveal the processes and mechanisms of its responses to natural and human disturbance. |
first_indexed | 2024-03-09T13:04:37Z |
format | Article |
id | doaj.art-45aa403d7fbc489a8bf4da9aec6c3b72 |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-09T13:04:37Z |
publishDate | 2022-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-45aa403d7fbc489a8bf4da9aec6c3b722023-11-30T21:50:14ZengMDPI AGRemote Sensing2072-42922022-04-01148178910.3390/rs14081789Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth EngineMaoxiang Chang0Peng Li1Zhenhong Li2Houjie Wang3Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Ocean University of China, Qingdao 266100, ChinaKey Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Ocean University of China, Qingdao 266100, ChinaKey Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Ocean University of China, Qingdao 266100, ChinaKey Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Ocean University of China, Qingdao 266100, ChinaTidal flats are one of the most productive ecosystems on Earth, providing essential ecological and economical services. Because of the increasing anthropogenic interruption and sea level rise, tidal flats are under great threat. However, updated and large-scale accurate tidal flat maps around the Bohai and Yellow Seas are still relatively rare, hindering the assessment and management of tidal flats. Based on time-series Sentinel-2 imagery and Google Earth Engine (GEE), we proposed a new method for tidal flat mapping with the Normalized Difference Water Index (NDWI) extremum composite around the Bohai and Yellow Seas. Tidal flats were derived from the differences of maximum and minimum water extent composites. Overall, 3477 images acquired from 1 Oct 2020 to 31 Oct 2021 produced a tidal flat map around the Bohai and Yellow Seas with an overall accuracy of 94.55% and total area of 546,360.2 ha. The resultant tidal flat map at 10 m resolution, currently one of the most updated products around the Bohai and Yellow Seas, could facilitate the process of sustainable policy making related to tidal flats and will help reveal the processes and mechanisms of its responses to natural and human disturbance.https://www.mdpi.com/2072-4292/14/8/1789tidal flatstime series imagesGoogle Earth EngineSentinel-2image compositingBohai Sea |
spellingShingle | Maoxiang Chang Peng Li Zhenhong Li Houjie Wang Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine Remote Sensing tidal flats time series images Google Earth Engine Sentinel-2 image compositing Bohai Sea |
title | Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine |
title_full | Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine |
title_fullStr | Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine |
title_full_unstemmed | Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine |
title_short | Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine |
title_sort | mapping tidal flats of the bohai and yellow seas using time series sentinel 2 images and google earth engine |
topic | tidal flats time series images Google Earth Engine Sentinel-2 image compositing Bohai Sea |
url | https://www.mdpi.com/2072-4292/14/8/1789 |
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