Xiufeng Wang

Papers

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About

Xiufeng Wang is a leading figure in satellite-based atmospheric remote sensing, with a focused expertise in aerosol optical depth (AOD) retrieval over land. His research is pivotal for understanding climate forcing and air quality, specifically through the development of algorithms for the Greenhouse Gases Observing Satellite (GOSAT). Wang’s major contributions include pioneering the Modified Aerosol Free Vegetation Index (AFVI) algorithm, which enables precise AOD retrieval by correcting for cloud and aerosol interference using GOSAT’s Cloud and Aerosol Imager (CAI) data. He also advanced the Dark Target (DT) algorithm tailored for the CAI sensor, a critical tool for mapping aerosol distributions over complex land surfaces. With his most-cited works accumulating over 11 citations, Wang’s algorithms have set benchmarks for satellite-based aerosol monitoring, directly supporting global climate models and environmental policy. His work is not only technically innovative but also practically impactful, offering scalable solutions for tracking particulate pollution from space. For students and researchers in atmospheric science and remote sensing, Wang’s research exemplifies how algorithmic refinement can unlock new insights from satellite data, bridging the gap between raw observations and actionable environmental intelligence.