LATEST NEWS

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