David J. Lary

The University of Texas at Dallas, Goddard Space Flight Center

Papers

9

Total Citations

304

H-Index

5

About

No biography available yet.

Research Focus

Remote sensing8 · 302 citations
Environmental science5 · 286 citations
Meteorology5 · 286 citations
Geology5 · 274 citations
Physics3 · 264 citations
Optics2 · 256 citations
Computer science8 · 170 citations
Engineering2 · 151 citations
Artificial intelligence6 · 145 citations
Atmosphere (unit)2 · 142 citations
Greenhouse gas2 · 142 citations
Trace gas2 · 142 citations

Key Achievements

5
H-Index
9
Papers
304
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Low Power Greenhouse Gas Sensors for Unmanned Aerial Vehicles
134 citations · 2012
📈 Most Prolific Year: 2012 (3 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: The University of Texas at Dallas, Goddard Space Flight Center

Top Papers

  1. 1
    Low Power Greenhouse Gas Sensors for Unmanned Aerial Vehicles
    134 citations · 2012
  2. 2
    Machine Learning and Bias Correction of MODIS Aerosol Optical Depth
    122 citations · 2009
  3. 3
    Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing
    17 citations · 2012
  4. 4
    Open-Path Greenhouse Gas Sensor for UAV applications
    8 citations · 2012
  5. 5
    Autonomous Learning of New Environments With a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning
    8 citations · 2021
  6. 6
    Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction
    5 citations · 2024
  7. 7
    Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In-Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction
    5 citations · 2024
  8. 8
    Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning
    3 citations · 2021
  9. 9
    Machine Learning for Environmental Sensing
    2 citations · 2021

Key Collaborators

DHD. H. Schaefer6 shared papersJWJohn Waczak4 shared papersBFBharana Fernando4 shared papersSTShawhin Talebi4 shared papersAAAdam Aker4 shared papersBRBryan Roscoe4 shared papersLOLakitha O. H. Wijeratne4 shared papersMLMatthew Lary3 shared papersJZJohn Z. Sadler2 shared papersMIMazhar Iqbal2 shared papersABAaron Barbosa2 shared papersTLTatiana Lary2 shared papersMAMark A. Zondlo2 shared papersDJDavid J. Miller2 shared papersASAmir Sada Khan2 shared papersLTLei Tao2 shared papersKSKang Sun2 shared papersPMPrabuddha M. H. Dewage1 shared papersNKN. K. Malakar1 shared papersLAL. A. Remer1 shared papers
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