Mapping the fine spatial distribution of global offshore surface seawater mariculture using remote sensing big data
Liu, Y.; Yang, X.; Wang, Z.; Liu, B.; Zhang, J.; Liu, X.; Meng, D.; Gao, K.; Zeng, X.; Yu, G.; Zhang, Q.; Cui, Y.; Huang, Z.; Luo, H.; Zhou, M. (2024). Mapping the fine spatial distribution of global offshore surface seawater mariculture using remote sensing big data. Int. J. Digit. Earth 17(1): 1-25. https://dx.doi.org/10.1080/17538947.2024.2402418
In: International Journal of Digital Earth. Taylor & Francis: London. ISSN 1753-8947; e-ISSN 1753-8955, more
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| Authors | | Top |
- Liu, Y.
- Yang, X.
- Wang, Z.
- Liu, B.
- Zhang, J.
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- Liu, X.
- Meng, D.
- Gao, K.
- Zeng, X.
- Yu, G.
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- Zhang, Q.
- Cui, Y.
- Huang, Z.
- Luo, H.
- Zhou, M.
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| Abstract |
Against the backdrop of near-saturation in global marine capture fisheries, current mariculture production now exceeds one-third of capture production and continues to hold significant growth potential. However, the lack of spatially detailed global offshore surface seawater mariculture (OSSM) data hampers scientific understanding and management from a spatial perspective. In this study, utilizing multi-source remote sensing time-series imagery, we achieve the world’s first spatially detailed mapping of both raft and cage mariculture types. The results show that (1) in 2020, the total global OSSM area was 20,079.97 km², comprising 85.04% raft mariculture and 14.96% cage mariculture. 95.33% of the OSSM was concentrated in Asia. (2) The interpreted national OSSM areas align well with the FAO production statistics trends. Obtaining these areas using remote sensing offers greater timeliness compared to production statistics, which is advantageous for dynamic monitoring and production estimation. (3) Through analysis of global pond aquaculture data, it was found that most coastal areas worldwide had a single-type of aquaculture. However, in parts of Asia, regions with both OSSM and pond aquaculture coexisted. The data acquired in this study, characterized by detailed spatial information, provide significant insights for constructing spatial models of mariculture, researching resource-environment effects, and informing management practices. |
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