Articles | Volume 17, issue 12
https://doi.org/10.5194/essd-17-6851-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Data description paper
| 
05 Dec 2025
Data description paper |
| 05 Dec 2025
| 05 Dec 2025
Long history paddy rice mapping across Northeast China with deep learning and annualresult enhancement method
Related authors
Earth Syst. Sci. Data, 12, 3545–3572, 2020
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Ashourloo, D., Nematollahi, H., Huete, A., Aghighi, H., Azadbakht, M., Shahrabi, H. S., and Goodarzdashti, S.: A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images, Remote Sensing of Environment, 280, 113206, https://doi.org/10.1016/j.rse.2022.113206, 2022.
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 Journal of Photogrammetry and Remote Sensing, 191, 277–289, https://doi.org/10.1016/j.isprsjprs.2022.07.018, 2022.
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Deines, J. M., Kendall, A. D., Crowley, M. A., Rapp, J., Cardille, J. A., and Hyndman, D. W.: Mapping three decades of annual irrigation across the US High Plains Aquifer using Landsat and Google Earth Engine, Remote Sensing of Environment, 233, 111400, https://doi.org/10.1016/j.rse.2019.111400, 2019.
