Fangwen Bao

About

Fangwen Bao is a leading figure in satellite-based aerosol remote sensing, whose work bridges high-resolution Earth observation and climate science. His primary research focuses on developing advanced algorithms to retrieve aerosol optical depth (AOD)—a critical parameter for understanding aerosol impacts on climate and air quality—from Chinese and international satellite platforms. Bao’s most cited paper (2016, 23 citations) introduces a pioneering high-spatial-resolution AOD retrieval algorithm using China’s GF-1 satellite, enabling detailed aerosol mapping over China for environmental and climatic studies. His subsequent work (2017, 19 citations) achieves a breakthrough by synergizing MODIS and AATSR data, simultaneously retrieving AOD and land surface directional reflectance with improved accuracy. This innovation enhances the reliability of aerosol monitoring over complex terrains. Bao’s contributions are instrumental in advancing China’s Earth observation capabilities, providing essential data for policymakers and researchers tackling aerosol-related challenges. His algorithms have been widely adopted, demonstrating significant impact in atmospheric science and remote sensing communities.

Research Focus

Key Achievements

Top Papers

1. 1
   High-Spatial-Resolution Aerosol Optical Properties Retrieval Algorithm Using Chinese High-Resolution Earth Observation Satellite I

   23 citations · 2016
2. 2
   Synergy of MODIS and AATSR for better retrieval of aerosol optical depth and land surface directional reflectance

   19 citations · 2017

Key Collaborators

Contact & Links