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

Earth Syst. Sci. Data, 13, 1829–1842, 2021

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

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

Earth Syst. Sci. Data, 13, 1829–1842, 2021

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 et al.

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

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.