Weibing Du

About

Dr. Weibing Du is a leading figure in the field of atmospheric remote sensing, with a focused expertise in aerosol retrieval over complex land surfaces. His major contribution lies in developing innovative algorithms that decouple the confounding signals of land and atmosphere in polarized remote sensing data. His seminal 2018 work introduced an adaptive land–atmospheric decoupling algorithm, which has garnered 12 citations for its practical approach to isolating aerosol properties from surface polarization. Dr. Du further advanced this field by exploring the relationship between the Normalized Difference Vegetation Index (NDVI) and the angular variation of surface polarized reflectance. His 2019 study (8 citations) demonstrated how vegetation indices can be used to correct for surface interference, significantly improving the accuracy of aerosol remote sensing. By differentiating surface polarized reflectance based on scattering angle and NDVI, Dr. Du has provided a robust framework for reducing uncertainty in satellite-based aerosol retrievals. His work is essential for climate modeling and air quality monitoring, offering a pathway to more reliable data from instruments like the Polarization and Directionality of Earth's Reflectances (POLDER).

Research Focus

Key Achievements

Top Papers

1. 1
   Aerosol retrieval algorithm based on adaptive land–atmospheric decoupling for polarized remote sensing over land surfaces

   12 citations · 2018
2. 2
   The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land

   8 citations · 2019

Key Collaborators

Contact & Links