Papers

2

Total Citations

32

H-Index

2

About

Jiahua Zhang is a leading researcher in atmospheric remote sensing, with a primary focus on aerosol optical depth (AOD) retrieval and its application to air pollution monitoring. His work centers on developing innovative methods to derive aerosol indices from satellite data, enabling more accurate assessments of atmospheric pollution severity and its climatic impacts. Zhang’s major contributions include the synergetic retrieval of terrestrial AOD using MODIS imagery from both Terra and Aqua satellites, a technique that significantly improves data coverage and accuracy by combining observations from twin platforms. His highly cited 2014 study on aerosol indices derived from MODIS data, which has garnered 21 citations, demonstrates the use of the 6S radiative transfer model to simulate apparent reflectance in relation to AOD, providing a critical tool for evaluating pollution levels. With a total of over 30 citations across his key works, Zhang’s research is instrumental in bridging satellite observations and environmental health assessments, offering practical solutions for tracking aerosol-induced air pollution. His achievements underscore a commitment to advancing remote sensing methodologies that directly support climate and air quality studies.

Research Focus

Key Achievements

2
H-Index
2
Papers
32
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Aerosol Indices Derived from MODIS Data for Indicating Aerosol-Induced Air Pollution
21 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago