Papers

4

Total Citations

30

H-Index

2

About

Kangzhuo Yang is an emerging remote sensing researcher whose work centers on atmospheric science and satellite image processing, with a particular focus on high-resolution aerosol retrieval over urban environments. Their research addresses a critical gap in air-quality monitoring: the inability of conventional coarse-resolution aerosol products to meet the growing demand for fine-scale atmospheric data in complex urban settings. By leveraging Sentinel-2 satellite imagery, Yang has pioneered algorithms capable of retrieving Aerosol Optical Depth (AOD) at an impressive 60-meter spatial resolution — a significant advancement over traditional kilometer-scale products. Yang's most cited work, "High-resolution aerosol retrieval over urban areas using Sentinel-2 data" (2021), has garnered 21 citations and laid the foundation for a sustained research program that has produced multiple algorithmic refinements, including improved surface reflectance estimation using AERONET validation data. Across their publication record, Yang's contributions have accumulated approximately 30 citations, reflecting growing recognition within the remote sensing community. Their iterative approach to algorithm development — addressing surface heterogeneity, aerosol contamination, and urban complexity — makes their work particularly valuable for researchers and policymakers working at the intersection of climate change, air pollution monitoring, and urban environmental science.

Research Focus

Key Achievements

2
H-Index
4
Papers
30
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
High-resolution aerosol retrieval over urban areas using sentinel-2 data
21 citations · 2021
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Karlsruhe Institute of Technology, University of Electronic Science and Technology of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago