Papers
4
Total Citations
90
H-Index
3
About
Feng Yin is a leading expert in satellite remote sensing, specializing in atmospheric correction and surface albedo retrieval for Earth observation. Their major contributions lie in advancing the accuracy of land surface reflectance—a critical step for quantitative remote sensing—by developing and rigorously benchmarking atmospheric correction processors. Yin spearheaded the ACIX-II Land exercise, a landmark international inter-comparison of correction methods for Landsat 8 and Sentinel-2 imagery (63 citations), and has extended this work to hyperspectral sensors like EnMAP and PRISMA in ACIX-III Land. They also developed an effective correction method tailored to China’s GF-1 and GF-6 wide-field-of-view images, addressing spectral differences and wide-swath challenges. Additionally, Yin validated space-based albedo products using upscaled tower measurements across heterogeneous and homogeneous landscapes (19 citations), directly supporting climate and energy budget studies. Their work is foundational for reliable multi-temporal and multi-sensor analyses, enabling accurate vegetation monitoring, land cover change detection, and climate modeling. With a growing citation record and leadership in open-access benchmark initiatives, Feng Yin is shaping the future of operational Earth observation.
Research Focus
Key Achievements
Top Papers
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