Peng‐Wang Zhai

University of Maryland, Baltimore County

Papers

6

Total Citations

265

H-Index

5

About

Peng‐Wang Zhai is a leading figure in ocean color remote sensing, specializing in the development of advanced atmospheric correction algorithms that enable accurate retrieval of water properties from space. His research focuses on the challenging domain of coastal and open ocean waters, where complex interactions between aerosols and hydrosols have historically hindered satellite observations. Zhai’s major contributions include the creation of the joint retrieval algorithm for aerosol and water-leaving radiance properties using multi-angle polarimetric measurements, a technique that significantly improves the fidelity of hyperspectral ocean color data. His 2017 paper on atmospheric correction for the Hyperspectral Imager for the Coastal Ocean (HICO) has garnered 119 citations, underscoring its foundational impact. More recently, his polynomial-based atmospheric correction (POLYAC) algorithm, detailed in a 2021 study with 42 citations, offers a fast and accurate method for hyperspectral radiometers. Zhai’s work is pivotal for NASA’s Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission, as demonstrated by his contributions to the ACEPOL campaign, which enhance aerosol property retrievals and hyperspectral ocean color analyses. Through these innovations, Zhai is advancing our ability to monitor marine ecosystems and coastal environments from orbit.

Research Focus

Key Achievements

5
H-Index
6
Papers
265
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Atmospheric correction for hyperspectral ocean color retrieval with application to the Hyperspectral Imager for the Coastal Ocean (HICO)
119 citations · 2017
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Maryland, Baltimore County

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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