Twenty-meter annual paddy rice area map for mainland Southeast Asia using Sentinel-1 synthetic-aperture-radar data

Sun, Chunling; Zhang, Hong; Xu, Lu; Ge, Ji; Jiang, Jingling; Zuo, Lijun; Wang, Chao

doi:https://doi.org/10.5194/essd-15-1501-2023

Articles | Volume 15, issue 4

https://doi.org/10.5194/essd-15-1501-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-15-1501-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 4

Data description paper

|

04 Apr 2023

Data description paper |

| 04 Apr 2023

Twenty-meter annual paddy rice area map for mainland Southeast Asia using Sentinel-1 synthetic-aperture-radar data

Chunling Sun, Hong Zhang, Lu Xu, Ji Ge, Jingling Jiang, Lijun Zuo, and Chao Wang

Data sets

20 m Annual Paddy Rice Map for Mainland Southeast Asia Using Sentinel-1 SAR Data Chunling Sun, Hong Zhang, Lu Xu, Ji Ge, Jingling Jiang, Lijun Zuo, and Chao Wang https://doi.org/10.5281/zenodo.7315076

Short summary

Over 90 % of the world’s rice is produced in the Asia–Pacific region. In this study, a rice-mapping method based on Sentinel-1 data for mainland Southeast Asia is proposed. A combination of spatiotemporal features with strong generalization is selected and input into the U-Net model to obtain a 20 m resolution rice area map of mainland Southeast Asia in 2019. The accuracy of the proposed method is 92.20 %. The rice area map is concordant with statistics and other rice area maps.