Nathan Marc Thomas

Nathan Marc Thomas

  • POSTDOC RESEARCHER
  • 301.614.6691
  • NASA/GSFC
  • Mail Code: 618
  • Greenbelt , MD 20771
  • Employer: UNIVERSITY OF MARYLAND
  • Brief Bio

    Nathan graduated with a BSc in 2011 and MSc in 2012 from Aberystwyth University, Wales, UK. He remained at the institution to acquire his PhD in remote sensing in 2016. Nathan was a PostDoc at the CalTech Jet Propulsion Laboratory from 2016 through 2017 before taking up a PostDoc at the NASA Goddard Space Flight Center, where he now works as a University of Maryland Assistant Research Scientist.


    Nathan's research interest is focused on the remote sensing of land cover type, extent and change in order to understand its relationship with ecosystem function, biomass and carbon. He is interested in processing big datasets to generate country- and global-scale products so that they can play a role in policy design and implementation. To facilitate this, he uses and develops open source software within the remote sensing community to conduct data calibration, classification, processing and statistical analysis, including distributed computing and machine learning.

    Selected Publications

    Refereed

    Thomas, N., C. S. Neigh, M. L. Carroll, J. L. McCarty, and P. Bunting. 2020. "Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method for Land Cover Monitoring Using Data Fusion." Remote Sensing, 12 (20): 3459 [10.3390/rs12203459]

    Duncanson, L. I., A. Neuenschwander, S. Hancock, et al. N. M. Thomas, L. E. Fatoyinbo Agueh, M. Simard, C. A. Silva, J. Armston, S. B. Luthcke, M. A. Hofton, J. R. Kellner, and R. Dubayah. 2020. "Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California." Remote Sensing of Environment, 242: 111779 [10.1016/j.rse.2020.111779]

    Neigh, C. S., N. M. Thomas, M. Carroll, M. Wooten, and J. L. Mccarty-Kern. 2020. "A multi-modal approach for monitoring changes in agriculture in the Mekong River delta." Proceedings of IEEE IGARSS 2020, (Accepted)

    Simard, M., T. Fatoyinbo, C. Smetanka, et al. V. H. Rivera-Monroy, E. Castañeda-Moya, N. Thomas, and T. Van der Stocken. 2018. "Mangrove canopy height globally related to precipitation, temperature and cyclone frequency." Nature Geoscience, 12 (1): 40-45 [10.1038/s41561-018-0279-1]

    Thomas, N., P. Bunting, R. Lucas, et al. A. Hardy, A. Rosenqvist, and T. Fatoyinbo. 2018. "Mapping Mangrove Extent and Change: A Globally Applicable Approach." Remote Sensing, 10 (9): 1466 [10.3390/rs10091466]

    Thomas, N., R. Lucas, T. Itoh, et al. M. Simard, T. E. Fatoyinbo Agueh, P. Bunting, and A. Rosenqvist. 2014. "An approach to monitoring mangrove extents through time-series comparison of JERS-1 SAR and ALOS PALSAR data." Wetlands Ecology and Management, 1-15 [10.1007/s11273-014-9370-6]

    Lucas, R., L.-M. Rebelo, L. E. Fatoyinbo Agueh, et al. A. Rosenqvist, T. Itoh, M. Shimada, M. Simard, P. W. Souza-Filho, N. Thomas, C. Trettin, A. Accad, J. Carreiras, and L. Hilarides. 2014. "Contribution of L-band SAR to systematic global mangrove monitoring." Marine and Freshwater Research, 65 (7): 589–603 [10.1071/MF13177 ]

    Brief Bio

    Nathan graduated with a BSc in 2011 and MSc in 2012 from Aberystwyth University, Wales, UK. He remained at the institution to acquire his PhD in remote sensing in 2016. Nathan was a PostDoc at the CalTech Jet Propulsion Laboratory from 2016 through 2017 before taking up a PostDoc at the NASA Goddard Space Flight Center, where he now works as a University of Maryland Assistant Research Scientist.


    Nathan's research interest is focused on the remote sensing of land cover type, extent and change in order to understand its relationship with ecosystem function, biomass and carbon. He is interested in processing big datasets to generate country- and global-scale products so that they can play a role in policy design and implementation. To facilitate this, he uses and develops open source software within the remote sensing community to conduct data calibration, classification, processing and statistical analysis, including distributed computing and machine learning.

    Selected Publications

    Refereed

    Thomas, N., C. S. Neigh, M. L. Carroll, J. L. McCarty, and P. Bunting. 2020. "Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method for Land Cover Monitoring Using Data Fusion." Remote Sensing 12 (20): 3459 [10.3390/rs12203459]

    Duncanson, L. I., A. Neuenschwander, S. Hancock, et al. N. M. Thomas, L. E. Fatoyinbo Agueh, M. Simard, C. A. Silva, J. Armston, S. B. Luthcke, M. A. Hofton, J. R. Kellner, and R. Dubayah. 2020. "Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California." Remote Sensing of Environment 242 111779 [10.1016/j.rse.2020.111779]

    Neigh, C. S., N. M. Thomas, M. Carroll, M. Wooten, and J. L. Mccarty-Kern. 2020. "A multi-modal approach for monitoring changes in agriculture in the Mekong River delta." Proceedings of IEEE IGARSS 2020 (Accepted)

    Simard, M., T. Fatoyinbo, C. Smetanka, et al. V. H. Rivera-Monroy, E. Castañeda-Moya, N. Thomas, and T. Van der Stocken. 2018. "Mangrove canopy height globally related to precipitation, temperature and cyclone frequency." Nature Geoscience 12 (1): 40-45 [10.1038/s41561-018-0279-1]

    Thomas, N., P. Bunting, R. Lucas, et al. A. Hardy, A. Rosenqvist, and T. Fatoyinbo. 2018. "Mapping Mangrove Extent and Change: A Globally Applicable Approach." Remote Sensing 10 (9): 1466 [10.3390/rs10091466]

    Thomas, N., R. Lucas, T. Itoh, et al. M. Simard, T. E. Fatoyinbo Agueh, P. Bunting, and A. Rosenqvist. 2014. "An approach to monitoring mangrove extents through time-series comparison of JERS-1 SAR and ALOS PALSAR data." Wetlands Ecology and Management 1-15 [10.1007/s11273-014-9370-6]

    Lucas, R., L.-M. Rebelo, L. E. Fatoyinbo Agueh, et al. A. Rosenqvist, T. Itoh, M. Shimada, M. Simard, P. W. Souza-Filho, N. Thomas, C. Trettin, A. Accad, J. Carreiras, and L. Hilarides. 2014. "Contribution of L-band SAR to systematic global mangrove monitoring." Marine and Freshwater Research 65 (7): 589–603 [10.1071/MF13177 ]

                                                                                                                                                                                            
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