Papers
1
Total Citations
6
H-Index
1
About
Yelu Zeng is a leading figure in remote sensing, with a primary focus on advancing atmospheric correction methods for satellite imagery. His most influential work tackles the critical challenge of obtaining accurate land surface reflectance, which is essential for reliable surface parameter inversion. In his highly cited 2023 paper, Zeng introduced an effective atmospheric correction technique specifically designed for the wide-swath Chinese GF-1 and GF-6 WFV sensors. This work addresses two major obstacles: spectral differences across sensors and the need for robust, large-scale correction. By improving the precision of reflectance data, his contributions directly enhance the accuracy of environmental monitoring, agricultural assessment, and land cover classification. With over six citations already, this paper underscores his impact on the remote sensing community, particularly for researchers working with Chinese satellite data. Zeng’s achievements are pivotal for advancing operational Earth observation, making his research a cornerstone for students and scientists aiming to refine satellite-based land surface analysis.
Research Focus
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Top Papers
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