Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-1781-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-1781-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The 20 m Africa rice distribution map of 2023
Jingling Jiang
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100049, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Hong Zhang
CORRESPONDING AUTHOR
International Research Center of Big Data for Sustainable Development Goals, Beijing 100049, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Ji Ge
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100049, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Lijun Zuo
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100049, China
Mingyang Song
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100049, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Yinhaibin Ding
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100049, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Yazhe Xie
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100049, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Wenjiang Huang
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
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Cited
5 citations as recorded by crossref.
- Continental maize mapping and distribution in Africa by integrating radar and optical imagery N. Abdelrahim & S. Jin 10.1007/s10661-025-14502-8
- TWDTW-Based Maize Mapping Using Optimal Time Series Features of Sentinel-1 and Sentinel-2 Images H. Yan et al. 10.3390/rs17173113
- Rice area-yield estimation based on the synergistic use of remote sensing time-series and crop growth modeling in Nigeria M. Barbieri et al. 10.1016/j.atech.2025.101024
- The 20 m Africa rice distribution map of 2023 J. Jiang et al. 10.5194/essd-17-1781-2025
- Identifying potential for rice expansion in Burkina Faso: integrating EO and climate data for suitability mapping J. Meier et al. 10.3389/fclim.2025.1548416
3 citations as recorded by crossref.
- Continental maize mapping and distribution in Africa by integrating radar and optical imagery N. Abdelrahim & S. Jin 10.1007/s10661-025-14502-8
- TWDTW-Based Maize Mapping Using Optimal Time Series Features of Sentinel-1 and Sentinel-2 Images H. Yan et al. 10.3390/rs17173113
- Rice area-yield estimation based on the synergistic use of remote sensing time-series and crop growth modeling in Nigeria M. Barbieri et al. 10.1016/j.atech.2025.101024
Latest update: 06 Oct 2025
Short summary
This study uses temporal synthetic aperture radar (SAR) data and optical imagery to conduct rice-mapping experiments in 34 African countries with rice-planting areas exceeding 5000 ha in 2022, achieving a 20 m resolution spatial distribution mapping for 2023. The average classification accuracy based on the validation set exceeded 85 %, and the R2; values for linear fitting with existing statistical data all surpassed 0.9, demonstrating the effectiveness of the proposed mapping method.
This study uses temporal synthetic aperture radar (SAR) data and optical imagery to conduct...
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