EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023
<p>Timely and accurate high-resolution annual mapping of rice distribution is essential for food security, greenhouse gas emissions assessment, and support of sustainable development goals. East Asia (EA), a major global rice-producing region, accounts for approximately 29.3 % of the world...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2025-02-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/17/661/2025/essd-17-661-2025.pdf |
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| author | M. Song M. Song M. Song L. Xu L. Xu J. Ge J. Ge J. Ge H. Zhang H. Zhang H. Zhang L. Zuo L. Zuo J. Jiang J. Jiang J. Jiang Y. Ding Y. Ding Y. Ding Y. Xie Y. Xie Y. Xie F. Wu F. Wu |
| author_facet | M. Song M. Song M. Song L. Xu L. Xu J. Ge J. Ge J. Ge H. Zhang H. Zhang H. Zhang L. Zuo L. Zuo J. Jiang J. Jiang J. Jiang Y. Ding Y. Ding Y. Ding Y. Xie Y. Xie Y. Xie F. Wu F. Wu |
| author_sort | M. Song |
| collection | DOAJ |
| description | <p>Timely and accurate high-resolution annual mapping of rice distribution is essential for food security, greenhouse gas emissions assessment, and support of sustainable development goals. East Asia (EA), a major global rice-producing region, accounts for approximately 29.3 % of the world's rice production. Therefore, to acquire the latest rice distribution of the EA, this study proposed a novel rice distribution mapping method based on the Google Earth Engine (GEE) platform, producing a 10 m resolution annual rice distribution map (EARice10) of EA for 2023. A new synthetic aperture radar (SAR)-based rice distribution mapping index (SRMI) was firstly proposed and combined with optical indices to generate representative rice samples. In addition, a stacking-based optical–SAR adaptive fusion model was designed to fully integrate the features of Sentinel-1 and Sentinel-2 data for high-precision rice mapping in EA. The accuracy of EARice10 was evaluated using more than 90 000 validation samples and achieved an overall accuracy of 90.48 %, with both the user accuracy and the producer accuracy exceeding 90 %. The reliability of the product was verified by <span class="inline-formula"><i>R</i><sup>2</sup></span> values ranging between 0.94 and 0.98 with respect to official statistics and between 0.79 and 0.98 with respect to previous rice mapping products. EARice10 is accessible at <a href="https://doi.org/10.5281/zenodo.13118409">https://doi.org/10.5281/zenodo.13118409</a> (Song et al., 2024).</p> |
| format | Article |
| id | doaj-art-c2c99f1d82de46f5962998174eb184c2 |
| institution | Kabale University |
| issn | 1866-3508 1866-3516 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj-art-c2c99f1d82de46f5962998174eb184c22025-02-11T11:23:38ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162025-02-011766168310.5194/essd-17-661-2025EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023M. Song0M. Song1M. Song2L. Xu3L. Xu4J. Ge5J. Ge6J. Ge7H. Zhang8H. Zhang9H. Zhang10L. Zuo11L. Zuo12J. Jiang13J. Jiang14J. Jiang15Y. Ding16Y. Ding17Y. Ding18Y. Xie19Y. Xie20Y. Xie21F. Wu22F. Wu23Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China<p>Timely and accurate high-resolution annual mapping of rice distribution is essential for food security, greenhouse gas emissions assessment, and support of sustainable development goals. East Asia (EA), a major global rice-producing region, accounts for approximately 29.3 % of the world's rice production. Therefore, to acquire the latest rice distribution of the EA, this study proposed a novel rice distribution mapping method based on the Google Earth Engine (GEE) platform, producing a 10 m resolution annual rice distribution map (EARice10) of EA for 2023. A new synthetic aperture radar (SAR)-based rice distribution mapping index (SRMI) was firstly proposed and combined with optical indices to generate representative rice samples. In addition, a stacking-based optical–SAR adaptive fusion model was designed to fully integrate the features of Sentinel-1 and Sentinel-2 data for high-precision rice mapping in EA. The accuracy of EARice10 was evaluated using more than 90 000 validation samples and achieved an overall accuracy of 90.48 %, with both the user accuracy and the producer accuracy exceeding 90 %. The reliability of the product was verified by <span class="inline-formula"><i>R</i><sup>2</sup></span> values ranging between 0.94 and 0.98 with respect to official statistics and between 0.79 and 0.98 with respect to previous rice mapping products. EARice10 is accessible at <a href="https://doi.org/10.5281/zenodo.13118409">https://doi.org/10.5281/zenodo.13118409</a> (Song et al., 2024).</p>https://essd.copernicus.org/articles/17/661/2025/essd-17-661-2025.pdf |
| spellingShingle | M. Song M. Song M. Song L. Xu L. Xu J. Ge J. Ge J. Ge H. Zhang H. Zhang H. Zhang L. Zuo L. Zuo J. Jiang J. Jiang J. Jiang Y. Ding Y. Ding Y. Ding Y. Xie Y. Xie Y. Xie F. Wu F. Wu EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023 Earth System Science Data |
| title | EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023 |
| title_full | EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023 |
| title_fullStr | EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023 |
| title_full_unstemmed | EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023 |
| title_short | EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023 |
| title_sort | earice10 a 10 thinsp m resolution annual rice distribution map of east asia for 2023 |
| url | https://essd.copernicus.org/articles/17/661/2025/essd-17-661-2025.pdf |
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