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  5. Mapping seagrass meadows in coastal China using GEE

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Article
en
2022

Mapping seagrass meadows in coastal China using GEE

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en
2022
Vol 37 (26)
Vol. 37
DOI: 10.1080/10106049.2022.2070672

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Carlos M. Duarte
Carlos M. Duarte

King Abdullah University of Science and Technology

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Qi Li
Runjie Jin
Zhanjiang Ye
+7 more

Abstract

Seagrass meadows are virtual blue carbon ecosystems facing a dramatic decline on a global scale. Tracking the status and trends of seagrass meadows, which is still pending on large scales, is an emerging priority for their conservation and restoration. Here, we develop a semi-automatic procedure to identify and map seagrass meadows. Using Sentinel-2 data in Google Earth Engine (GEE) platform, a map is generated, showing a total of 11113.4 ha of seagrass meadows in coastal China in 2020. There exists the largest extent (6450.3 ha) in the coast of the South China Sea, while the second area (3909.5 ha) is in the Yellow Sea-Bohai Sea, and the seagrass meadows in the East China Sea cover about 753.6 ha. Our results provide the baseline data of seagrass meadows distribution in coastal China, and this study can be of reference for mapping seagrass meadows on a broader or even global scale.

How to cite this publication

Qi Li, Runjie Jin, Zhanjiang Ye, Jiali Gu, Dan Li, Junyu He, George Christakos, Susana Agustı́, Carlos M. Duarte, Jiaping Wu (2022). Mapping seagrass meadows in coastal China using GEE. , 37(26), DOI: https://doi.org/10.1080/10106049.2022.2070672.

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Publication Details

Type

Article

Year

2022

Authors

10

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1080/10106049.2022.2070672

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