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Fine-grained hierarchical crop type classification from integrated hyperspectral EnMAP data and multispectral Sentinel-2 time series: A large-scale dataset and dual-stream transformer method Congratulations to Dr. Wenyuan Li, Professor Shunlin Liang, and the research team on publishing a new article in Remote Sensing of Environment (Vol. 344, 115525). The paper is titled “Fine-grained hierarchical crop type classification from integrated hyperspectral EnMAP data and multispec

The JC STEM Lab of Quantitative Remote Sensing is proud to announce the recent publication of the Handbook of Satellite Land Products, co-edited by Lab Director Prof. Shunlin Liang and Prof. Han Ma. This monumental academic reference work provides a systematic, global guide to the satellite-derived information products essential for observing, understanding, and managing the Earth system. The book, published by Elsevier, is available at https://shop.elsevier.com/books/handboo

Mitigating Topographic Effects in Optical Remote Sensing: From surface reflectance to high-level products Congratulations to Dr. Yichuan Ma, Professor Shunlin Liang, and the research team for their recent publication in the IEEE Geoscience and Remote Sensing Magazine (Early Access, 2026). The paper is available via DOI: 10.1109/MGRS.2026.3690171. Mountainous terrains cover approximately 24% of the Earth's land surface, serving as vital hotspots for biodiversity and providing

An integrated atmospheric-topographic correction framework for land surface reflectance estimation using a spatial-spectral Attention U-Net model Congratulations to Dr. Yichuan Ma, Professor Shunlin Liang, and the research team for their recent publication in Remote Sensing of Environment (Vol. 334, 115188). The paper, titled "An integrated atmospheric-topographic correction framework for land surface reflectance estimation using a spatial-spectral Attention U-Net model," is

AgriFM: A multi-source temporal remote sensing foundation model for Agriculture mapping Congratulations to Dr. Wenyuan Li, Professor Shunlin Liang, and the research team for their recent publication in Remote Sensing of Environment (Vol. 334, 115234). The paper, titled "AgriFM: A multi-source temporal remote sensing foundation model for Agriculture mapping," is available via https://doi.org/10.1016/j.rse.2026.115234 . The codes and models are freely accessible at https://gla

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

Generation of global 1 km daily land surface-air temperature difference and sensible heat flux products from 2000 to 2020 Congratulations to Hui Liang and colleagues on publishing a research article on Earth System Science Data (Vol. 17, pp. 5571–5600). The title of the article is “Generation of global 1 km daily land surface-air temperature difference and sensible heat flux products from 2000 to 2020” and it is now available at https://doi.org/10.5194/essd-17-5571-2025 . T

The first gap-free 20 m 5-day LAI/FAPAR products over China (2018-2023) from integrated Landsat-8/9 and Sentinel-2 Analysis Ready Data Congratulations to Dr. Han Ma and colleagues on publishing a research article on Remote Sensing of Environment (Vol. 331, 115048). The title of the article is “The first gap-free 20 m 5-day LAI/FAPAR products over China (2018-2023) from integrated Landsat-8/9 and Sentinel-2 Analysis Ready Data” and it is now available at https://doi.org/10.

A seamless global daily 5 km soil moisture product from 1982 to 2021 using AVHRR satellite data and an attention-based deep learning model Congratulations to Dr. Yufang Zhang and colleagues on publishing a research article on Earth System Science Data (Vol. 17, pp. 5181-5207). The title of the article is “A seamless global daily 5 km soil moisture product from 1982 to 2021 using AVHRR satellite data and an attention-based deep learning model” and it is now available at...

Cross-domain Hyperspectral Image Classification based on Bi-directional Domain Adaptation Congratulations to Dr. Yuxiang Zhang on...

A universal physically-based topographic correction framework for high-resolution optical satellite data Congratulations to Dr. Yichuan...

Optimal spatiotemporal thinning schemes combined with wood vaulting could maximize the forest biomass carbon sink in China ...

Significant Topographic Impacts on Moderate-Resolution Satellite Products: Evidence From Both Geostationary and Polar-Orbiting Satellites...

Assessing global drinking water potential from electricity-free solar water evaporation device Congratulations to Dr. Yongzhe Chen on...

Size, distribution, and vulnerability of the global soil inorganic carbon Congratulations to Dr. Yongzhe Chen on publishing a research...