Mapping paddy rice distribution and cropping intensity  in South and Southeast Asia (1995–2024)  at 30&thinsp;m resolution

Zhao, Zizhang; Zhang, Geli; Dong, Jinwei; Yang, Jilin; Fan, Chang; Liu, Ruoqi; Xiao, Xiangming

doi:10.5194/essd-18-5583-2026

Articles | Volume 18, issue 7

https://doi.org/10.5194/essd-18-5583-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-5583-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 7

Data description article

|

29 Jul 2026

Data description article |

| 29 Jul 2026

Mapping paddy rice distribution and cropping intensity in South and Southeast Asia (1995–2024) at 30 m resolution

Zizhang Zhao, Geli Zhang, Jinwei Dong, Jilin Yang, Chang Fan, Ruoqi Liu, and Xiangming Xiao

Related authors

A multi-decadal global Landsat-derived dataset of forest fire patches from 1984–2022

Jiaying He, Xin Zou, Weihan Zhang, Quan Duan, Ronggao Liu, Yang Liu, Jinwei Dong, Chaoyang Wu, Wei Li, and Chao Wu

Earth Syst. Sci. Data, 18, 5915–5937, https://doi.org/10.5194/essd-18-5915-2026,https://doi.org/10.5194/essd-18-5915-2026, 2026

Short summary

Mapping Annual Crop Residue Cover Across Global Mollisol Regions at 10-m Resolution (2019–2024)

Yifeng Cui, Jinwei Dong, Chao Zhang, Nanshan You, Shuai Ren, Peng Zhu, Quan Duan, Ronggao Liu, and César Terrer

Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-613,https://doi.org/10.5194/essd-2026-613, 2026

Preprint under review for ESSD

Short summary

Annual forest cover maps in Africa during 2015–2023 by analyses of PALSAR-2, Landsat, and GEDI LiDAR datasets with knowledge-based algorithms

Yuan Yao, Xiangming Xiao, Chenchen Zhang, Hao Tang, Yuanwei Qin, Cheng Meng, Baihong Pan, Li Pan, and Jie Wang

Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-269,https://doi.org/10.5194/essd-2026-269, 2026

Preprint under review for ESSD

Short summary

An annual 30 m cultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021

Binghong Han, Jian Bi, Shengli Tao, Tong Yang, Yongli Tang, Mengshuai Ge, Hao Wang, Zhenong Jin, Jinwei Dong, Zhibiao Nan, and Jin-Sheng He

Earth Syst. Sci. Data, 17, 2933–2952, https://doi.org/10.5194/essd-17-2933-2025,https://doi.org/10.5194/essd-17-2933-2025, 2025

Short summary

Annual maps of forest and evergreen forest in the contiguous United States during 2015–2017 from analyses of PALSAR-2 and Landsat images

Jie Wang, Xiangming Xiao, Yuanwei Qin, Jinwei Dong, Geli Zhang, Xuebin Yang, Xiaocui Wu, Chandrashekhar Biradar, and Yang Hu

Earth Syst. Sci. Data, 16, 4619–4639, https://doi.org/10.5194/essd-16-4619-2024,https://doi.org/10.5194/essd-16-4619-2024, 2024

Short summary

Cited articles

Adrian, J., Sagan, V., and Maimaitijiang, M.: Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine, ISPRS J. Photogramm. Remote Sens., 175, 215–235, https://doi.org/10.1016/j.isprsjprs.2021.02.018, 2021.

Carrasco, L., Fujita, G., Kito, K., and Miyashita, T.: Historical mapping of rice fields in Japan using phenology and temporally aggregated Landsat images in Google Earth Engine, ISPRS J. Photogramm. Remote Sens., 191, 277–289, https://doi.org/10.1016/j.isprsjprs.2022.07.018, 2022.

Chen, Z., Balasus, N., Lin, H., Nesser, H., and Jacob, D. J.: African rice cultivation linked to rising methane, Nat. Clim. Change, 14, 148–151, https://doi.org/10.1038/s41558-023-01907-x, 2024.

Cheng, M., Li, Z., Li, L., He, W., Zhang, L., and Zhang, H.: 25-year, quarterly land change maps of China's Loess Plateau reveal long-term and substantial water-induced soil erosion mitigation, Earth Syst. Sci. Data, 18, 3303–3340, https://doi.org/10.5194/essd-18-3303-2026, 2026.

Deng, Y., Peng, B., Guan, K., Runkle, B. R. K., Moreno-García, B., Wu, X., Wang, S., Zhou, Q., and Reba, M. L.: Detecting the onset of rice field inundation in the Lower Mississippi River Basin via Harmonized Landsat Sentinel-2 (HLS) satellite time series, ISPRS J. Photogramm. Remote Sens., 228, 28–43, https://doi.org/10.1016/j.isprsjprs.2025.07.003, 2025.