A new satellite-derived dataset for marine aquaculture areas in China's coastal region

Fu, Yongyong; Deng, Jinsong; Wang, Hongquan; Comber, Alexis; Yang, Wu; Wu, Wenqiang; You, Shixue; Lin, Yi; Wang, Ke

doi:https://doi.org/10.5194/essd-13-1829-2021

Articles | Volume 13, issue 5

https://doi.org/10.5194/essd-13-1829-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-1829-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 5

Data description paper

|

03 May 2021

Data description paper |

| 03 May 2021

A new satellite-derived dataset for marine aquaculture areas in China's coastal region

Yongyong Fu, Jinsong Deng, Hongquan Wang, Alexis Comber, Wu Yang, Wenqiang Wu, Shixue You, Yi Lin, and Ke Wang

Supplement

https://doi.org/10.5194/essd-13-1829-2021-supplement

Data sets

A new satellite-derived dataset for marine aquaculture in the China's coastal region Yongyong Fu, Jinsong Deng, Hongquan Wang, Alexis Comber, Wu Yang, Wenqiang Wu, Shixue You, Yi Lin, and Ke Wang https://doi.org/10.5281/zenodo.3881612

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Short summary

Marine aquaculture areas in a region up to 30 km from the coast in China were mapped for the first time. It was found to cover a total area of ~1100 km², of which more than 85 % is marine plant culture areas, with 87 % found in four coastal provinces. The results confirm the applicability and effectiveness of deep learning when applied to GF-1 data at the national scale, identifying the detailed spatial distributions and supporting the sustainable management of coastal resources in China.