Xingwei He

About

Xingwei He is a specialist in satellite-based aerosol remote sensing, with a research focus on retrieving aerosol optical depth (AOD) over land surfaces using multi-sensor and synergetic algorithms. His work addresses one of the most technically challenging problems in atmospheric science — accurately measuring aerosol properties over complex terrestrial environments where surface reflectance complicates satellite retrievals. He is perhaps best known for developing and contributing to the Synergetic Retrieval of Aerosol Properties (SRAP) algorithm, which underpins the widely cited China Collection 2.0 AOD dataset (2014, 68 citations) — a landmark contribution providing long-term, high-quality aerosol records across China. His innovative use of time series techniques with MSG/SEVIRI geostationary data (42 citations) and synergetic combinations of HJ-1 CCD and MODIS observations (40 citations) demonstrated new pathways for improving spatial resolution and retrieval accuracy over urban landscapes. He has also applied his expertise to pressing environmental challenges, including dust storm monitoring in Xinjiang (33 citations) and tracking agricultural biomass burning events across Central and East China. With over 250 cumulative citations spanning land aerosol retrieval, haze monitoring, and multi-satellite data merging, He's body of work has meaningfully advanced China's capacity for atmospheric pollution monitoring from space.

Research Focus

Key Achievements

Top Papers

1. 1
   China Collection 2.0: The aerosol optical depth dataset from the synergetic retrieval of aerosol properties algorithm

   68 citations · 2014
2. 2
   Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data

   42 citations · 2012
3. 3
   High-resolution aerosol remote sensing retrieval over urban areas by synergetic use of HJ-1 CCD and MODIS data

   40 citations · 2011
4. 4
   Dust Aerosol Optical Depth Retrieval and Dust Storm Detection for Xinjiang Region Using Indian National Satellite Observations

   33 citations · 2016
5. 5
   Validation and analysis of aerosol optical thickness retrieval over land

   25 citations · 2011
6. 6
   Merging aerosol optical depth data from multiple satellite missions to view agricultural biomass burning in Central and East China

   22 citations · 2012
7. 7
   Long-term aerosol optical depth datasets over China retrieved from satellite data

   13 citations · 2011
8. 8
   An advanced synergetic algorithm for aerosol optical depth retrieval from HJ-1A HSI and Terra MODIS data based on mutual information

   10 citations · 2011
9. 9
   Retrieval of aerosol optical depth over land based on a time series technique using MSG/SERIVI data

   4 citations · 2012
10. 10
    Multi-scale aerosol retrieval over land from satellite data and its application on haze monitoring

    2 citations · 2011

Key Collaborators

Contact & Links