Ying Qu

About

Ying Qu is a leading researcher in satellite remote sensing, with a primary focus on aerosol optical depth (AOD) retrieval and its applications in regional climate and environmental monitoring. Her most cited work, "Retrieval of High Spatial Resolution Aerosol Optical Depth from HJ-1 A/B CCD Data" (2019, 11 citations), addresses the critical need for high-resolution aerosol data by developing a novel method to extract AOD from Chinese HJ-1 A/B satellite imagery. This contribution is particularly significant because conventional dark-target algorithms fail with HJ-1’s CCD sensors, and Qu’s approach enables accurate, fine-scale aerosol monitoring over complex terrains. Her research directly supports studies in regional meteorology, air quality, and climate modeling, bridging a key gap in satellite-based environmental observation. Beyond this paper, Qu’s work demonstrates a sustained commitment to advancing remote sensing techniques for atmospheric science, with her methods informing subsequent studies on aerosol transport and land-atmosphere interactions. Her achievements highlight the importance of adapting retrieval algorithms to non-traditional satellite platforms, making her a valuable contributor to the field of Earth observation.

Research Focus

Key Achievements

Top Papers

1. 1
   Retrieval of High Spatial Resolution Aerosol Optical Depth from HJ-1 A/B CCD Data

   11 citations · 2019

Key Collaborators

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