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Generating an annual 30 m rice cover product for monsoon Asia (2018–2023) using harmonized Landsat and Sentinel-2 data and the NASA-IBM geospatial foundation model Congratulations to Husheng Fang, Professor Shunlin Liang, and the research team for their recent publication in Remote Sensing of Environment (Vol. 335, 115256). The paper, titled "Generating an annual 30 m rice cover product for monsoon Asia (2018–2023) using harmonized Landsat and Sentinel-2 data and the NASA-IB

UniTS: Unified Time Series Generative Model for Remote Sensing Congratulations to Dr. Yuxiang Zhang and the research team on the release of their novel framework, UniTS. The project page is now live at https://yuxiangzhang-bit.github.io/UniTS-website/ , with code available on GitHub ( https://huggingface.co/datasets/YuxiangZhang-BIT/UniTS-Datasets-ckpt ) and datasets accessible via Hugging Face ( https://huggingface.co/datasets/YuxiangZhang-BIT/UniTS-Datasets-ckpt ). This s

Joint estimation of global daily 1 km surface radiation budget components from MODIS observations (2000-2023) using conservation-constrained deep neural networks Congratulations to Dr. Jianglei Xu and colleagues on publishing a research article on Remote Sensing of Environment (Vol. 333, 115135). The title of the article is “Joint estimation of global daily 1 km surface radiation budget components from MODIS observations (2000-2023) using conservation-constrained deep neur