David L. Nelson

California Institute of Technology

Papers

2

Total Citations

466

H-Index

2

About

David L. Nelson is a leading figure in satellite remote sensing of aerosols, with a career dedicated to refining how we observe atmospheric particles from space. His research centers on algorithm development for multi-angle and multi-spectral instruments, particularly the Multiangle Imaging Spectroradiometer (MISR) and the Moderate Resolution Imaging Spectroradiometer (MODIS). Nelson’s most cited work, “Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land” (2004, 241 citations), introduced innovative constraints that dramatically enhanced the accuracy of aerosol retrievals over complex land surfaces—a notoriously difficult challenge. His follow-up study, “Satellite-derived aerosol optical depth over dark water from MISR and MODIS: Comparisons with AERONET” (2007, 225 citations), provided a critical validation of these satellite products against ground-based AERONET data, revealing systematic global differences and setting a benchmark for climatological studies. This work has been instrumental in advancing our understanding of aerosol radiative forcing and air quality monitoring. With over 466 citations across these two papers alone, Nelson’s contributions remain essential for researchers and students working in atmospheric science, remote sensing, and climate modeling.

Research Focus

Key Achievements

2
H-Index
2
Papers
466
Total Citations
233
Avg Citations/Paper
🏆 Most Cited Paper
Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land
241 citations · 2004
📈 Most Prolific Year: 2004 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: California Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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