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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