Africa coastal aquaculture pond distribution and change dataset from 2015 to 2022 (Africa_CA_10m_2015-2022)

Dataset Overview

Coastal aquaculture ponds which are used for aquaculture and include dams in coastal areas, have expanded rapidly worldwide and play an important role in the global food security and socioeconomic development of coastal zones. However, the expansion of coastal aquaculture ponds has also caused serious environmental issues, such as natural habitat loss, water eutrophication, and ecosystem degradation. Therefore, an accurate and up-to-date coastal aquaculture pond dataset with a finer resolution is urgently needed for sustainable management and conservation of coastal ecosystems, especially since the implementation of the Sustainable Development Goals (SDGs) in 2015.

Spatial Resolution:

Time Resolution:

Product Number: XDA19090201_008

Create Institution: ext_enOrganizationName

Created By: Dehua Mao, Ming Wang, Zongming Wang

Creation Date: 2024-09-27 14:18:20

File Size: 1

Data Format: Shapefile

Type Of Data: vector;

Data Label:

Naming Convention

This product uses the WGS84 coordinate system with latitude and longitude projection (EPSG: 4326). Data are stored in SHPFILE  format.

Paper Citation

Mao, D., Wang, Z., Du, B., Li, L., Tian, Y., Jia, M., Zeng, Y., Song, K., Jiang, M., & Wang, Y. (2020). National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images. ISPRS Journal of Photogrammetry
and Remote Sensing, 164, 11–25. https://doi.org/10.1016/j.isprsjprs.2020.03.020.
Wang, M., Mao, D., Xiao, X., Song, K., Jia, M., Ren, C., & Wang, Z. (2023). Interannual changes of coastal aquaculture ponds in China at 10-m spatial resolution during 2016–2021. Remote Sensing of Environment, 284, 113347. https://doi.org/10.1016/j.rse.2022.113347.

Data Citation

Dehua Mao. Africa coastal aquaculture pond distribution and change dataset from 2015 to 2022 (Africa_CA_10m_2015-2022), Beijing: International Research Center of Big Data for Sustainable Development Goals (CBAS), 2023. DOI:10.12237/casearth.64e01515819aec27a589e7b8.

Data Licence Agreement

Users of this data product shall clearly indicate the source and the authors of "Africa coastal aquaculture pond distribution and change dataset from 2015 to 2022 (Africa_CA_10m_2015-2022)" in all forms of their research output (including, but not limited to, published and unpublished papers/reports, theses, monographs, data products, and other academic output) generated by using this data product, and shall cite the corresponding references. The data producers shall not be liable for any loss arising from the use of this data product. The boundaries and masks used in the maps do not represent an official opinion or endorsement by the data producers.