Ian Laurence Paynter

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Ian Laurence Paynter

  • VISITING SCIENTIST
  • 301.286.5377
  • NASA/GSFC
  • Mail Code: 618
  • Greenbelt , MD 20771
  • Employer: UNIVERSITIES SPACE RESEARCH ASSOCIATION
  • Brief Bio

    Paynter works in the application of remote sensing resources to ecological questions. Particular focuses have included terrestrial and airborne lidar, and airborne and satellite multi-spectral data utilized in studies of forests and coastal ecosystems.

    Current Projects

    FIREFLY Instrument Characterization

    Characterization, calibration and product derivation from the FIREFLY spectrometer on the G-LiHT instrument package.

    High Resolution Imagery Ecological Applications

    Identifying tree species and forest health conditions from high resolution (sub 5cm) aerial RGB imagery from the G-LiHT instrument package.

    Lidar Forest Health Applications

    Identifying and classifying forest health conditions including parasitic organisms utilizing terrestrial and airborne lidar assessments of structure and reflectance.

    Education

    Ph.D. in Environmental Science, University of Massachusetts, Boston, 2016

    M.Sc. in Marine Science, School of Marine Sciences, University of Massachusetts, 2014

    B.Sc. (hons) in Zoology, University of Wales, Aberystwyth, 2008

    Publications

    Refereed

    Paynter, I. L., C. Schaaf, J. Bowen, et al. L. Deegan, F. Peri, and B. D. Cook. 2019. "Characterizing a New England Saltmarsh with NASA G-LiHT Airborne Lidar." Remote Sensing, 11 (5): 509 [10.3390/rs11050509]

    Paynter, I., D. Genest, E. Saenz, et al. F. Peri, Z. Li, A. Strahler, and C. Schaaf. 2018. "Quality Assessment of Terrestrial Laser Scanner Ecosystem Observations Using Pulse Trajectories." IEEE Transactions on Geoscience and Remote Sensing, 56 (11): 6324-6333 [10.1109/tgrs.2018.2836947]

    Paynter, I., D. Genest, F. Peri, and C. Schaaf. 2018. "Bounding uncertainty in volumetric geometric models for terrestrial lidar observations of ecosystems." Interface Focus, 8 (2): 20170043 [10.1098/rsfs.2017.0043]

    Paynter, I., D. Genest, E. Saenz, et al. F. Peri, P. Boucher, Z. Li, A. Strahler, and C. Schaaf. 2017. "Classifying ecosystems with metaproperties from terrestrial laser scanner data." Methods in Ecology and Evolution, 9 (2): 210-222 [10.1111/2041-210x.12854]

    Paynter, I., E. Saenz, D. Genest, et al. F. Peri, A. Erb, Z. Li, K. Wiggin, J. Muir, P. Raumonen, E. S. Schaaf, A. Strahler, and C. Schaaf. 2016. "Observing ecosystems with lightweight, rapid-scanning terrestrial lidar scanners." Remote Sensing in Ecology and Conservation, 2 (4): 174-189 [10.1002/rse2.26]

    Brief Bio

    Paynter works in the application of remote sensing resources to ecological questions. Particular focuses have included terrestrial and airborne lidar, and airborne and satellite multi-spectral data utilized in studies of forests and coastal ecosystems.

    Publications

    Refereed

    Paynter, I. L., C. Schaaf, J. Bowen, et al. L. Deegan, F. Peri, and B. D. Cook. 2019. "Characterizing a New England Saltmarsh with NASA G-LiHT Airborne Lidar." Remote Sensing 11 (5): 509 [10.3390/rs11050509]

    Paynter, I., D. Genest, E. Saenz, et al. F. Peri, Z. Li, A. Strahler, and C. Schaaf. 2018. "Quality Assessment of Terrestrial Laser Scanner Ecosystem Observations Using Pulse Trajectories." IEEE Transactions on Geoscience and Remote Sensing 56 (11): 6324-6333 [10.1109/tgrs.2018.2836947]

    Paynter, I., D. Genest, F. Peri, and C. Schaaf. 2018. "Bounding uncertainty in volumetric geometric models for terrestrial lidar observations of ecosystems." Interface Focus 8 (2): 20170043 [10.1098/rsfs.2017.0043]

    Paynter, I., D. Genest, E. Saenz, et al. F. Peri, P. Boucher, Z. Li, A. Strahler, and C. Schaaf. 2017. "Classifying ecosystems with metaproperties from terrestrial laser scanner data." Methods in Ecology and Evolution 9 (2): 210-222 [10.1111/2041-210x.12854]

    Paynter, I., E. Saenz, D. Genest, et al. F. Peri, A. Erb, Z. Li, K. Wiggin, J. Muir, P. Raumonen, E. S. Schaaf, A. Strahler, and C. Schaaf. 2016. "Observing ecosystems with lightweight, rapid-scanning terrestrial lidar scanners." Remote Sensing in Ecology and Conservation 2 (4): 174-189 [10.1002/rse2.26]

                                                                                                                                                                                            
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