Jason K. Jolliff

Stennis Space Center

Papers

2

Total Citations

10

H-Index

2

About

Dr. Jason K. Jolliff is a leading expert in ocean color remote sensing, with a particular focus on advancing the use of nanosatellite technology for coastal and oceanographic monitoring. His research bridges the critical gap between traditional ocean-viewing satellites and emerging commercial nanosatellite constellations, addressing the fundamental challenge that these smaller sensors often lack the spectral bands required for standard atmospheric correction. Dr. Jolliff’s major contributions include developing machine-learning-based methods for automated atmospheric correction of nanosatellite data, as detailed in his 2023 paper "Automated Atmospheric Correction of Nanosatellites Using Coincident Ocean Color Radiometer Data." He has also pioneered techniques for assessing and calibrating Planet nanosatellite sensors for ocean color applications, as outlined in his 2023 work "Assessing Planet Nanosatellite Sensors for Ocean Color Usage." These studies, each garnering 5 citations, are foundational to the emerging field of high-resolution coastal remote sensing. By enabling accurate normalized water-leaving radiance estimates from commercial sensors, Dr. Jolliff’s work is instrumental in expanding our ability to monitor coastal ecosystems, harmful algal blooms, and water quality at unprecedented spatial and temporal scales.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Automated Atmospheric Correction of Nanosatellites Using Coincident Ocean Color Radiometer Data
5 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Stennis Space Center

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago