Dr. Peng Zhou, Beijing Normal University, China
Mr. Peng Zhou is a Ph.D. candidate at the Faculty of Geographical Science, Beijing Normal University, specializing in global environmental change. His research interests span across remote sensing, aerosol studies, and Lidar technology, with a focus on leveraging data science, machine learning, and spatiotemporal modeling techniques. Peng Zhou holds a Master’s degree in Surveying and Mapping Engineering from Henan Polytechnic University and earned his Bachelor’s degree from Nanyang Normal University. His academic pursuits and research aim to contribute to understanding and mitigating environmental challenges through advanced spatial analysis and remote sensing applications.
Professional Profile:
ORCID
Education:
- Ph.D. in Faculty of Geographical Science, Beijing Normal University, expected completion September 2024.
- M.S. in Surveying and Mapping Engineering, Henan Polytechnic University, September 2021 – July 2024.
- B.S. in Surveying and Mapping Engineering, Nanyang Normal University, September 2017 – July 2021.
Work Experience:
Mr. Peng Zhou’s professional experience includes research and academic roles focusing on remote sensing, aerosol studies, lidar, data science, machine learning, and spatiotemporal modeling. He has actively contributed to the field of geographical science through his research and affiliations with academic institutions.
Publication top Notes:
Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths
Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean
Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths
Supplementary material to “Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths”
R-MFNet: Analysis of Urban Carbon Stock Change against the Background of Land-Use Change Based on a Residual Multi-Module Fusion Network
The Simulated Source Apportionment of Light Absorbing Aerosols: Effects of Microphysical Properties of Partially‐Coated Black Carbon