Janet E. Nichol

Hong Kong Polytechnic University, University of Sussex

Papers

20

Total Citations

1,114

H-Index

15

About

Janet E. Nichol is a prominent remote sensing scientist whose research has profoundly advanced our understanding of atmospheric aerosols, air quality monitoring, and satellite-based environmental observation. Her work spans aerosol optical depth retrieval, atmospheric correction methodologies, and water vapour dynamics, with a particular geographic focus on Asia and the Middle East. Nichol's most celebrated contribution is her development of the Simplified High Resolution MODIS Aerosol Retrieval Algorithm (SARA), which has garnered 176 citations and addressed critical limitations in aerosol monitoring over complex mixed land surfaces. Her systematic evaluations of MODIS aerosol retrieval algorithms — including landmark assessments over the heavily polluted Beijing-Tianjin-Hebei region (113 citations) and broader Asian domains (121 citations) — have become essential references for researchers calibrating satellite air quality products. Beyond algorithm development, Nichol has tackled urgent environmental challenges, including characterizing severe air pollution across Pakistani cities (141 citations) and classifying aerosol types over Saudi Arabia. Her multi-sensor water vapour studies further demonstrate her versatility across atmospheric science disciplines. With a body of work collectively amassing hundreds of citations, Nichol's research has meaningfully shaped satellite remote sensing methodology and informed air quality policy discussions across some of the world's most pollution-affected regions.

Research Focus

Key Achievements

15
H-Index
20
Papers
1,114
Total Citations
56
Avg Citations/Paper
🏆 Most Cited Paper
A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces
176 citations · 2013
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: Hong Kong Polytechnic University, University of Sussex

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago