David Lagomasino

David Lagomasino

  • POST DOC SCIENTIST
  • 301.614.6666
  • NASA/GSFC
  • Mail Code: 618
  • Greenbelt , MD 20771
  • Employer: UNIV OF MARYLAND
  • Brief Bio

    David is a remote sensing scientist with a strong background in coastal hydrogeology. His research interests cover a wide range of topics including land-water-atmosphere interactions and coastal hydrogeology. More specifically, his interests combine land use change, energy balance and water quality monitoring, and water-carbon cycle science in transitional environments at the land-sea interface. He has engaged in interdisciplinary collaborations with different agencies at the local, state, and federal levels, as well as with researchers from a variety of backgrounds.

    Current Projects

    Linking Carbon and Water Dynamics in the Pursuit of Predicting Peat Collapse in Coastal Wetlands

    Beyond being one of the most carbon dense ecosystems due to their high carbon sequestration rates, mangrove forests and other blue carbon wetlands are economically and biologically important from local to global scales. Sea-level rise and seawater intrusion pose high-risks of change to mangrove forests and coastal marshes, which can result in extraordinary changes to inundation and salinity that impact both above and below ground carbon cycling. The main goal of this project will consist of developing a new analytical framework from the fusion of multiple readily available ground, airborne, and spaceborne remote sensing datasets to quantify and predict rapid changes or collapse of the blue carbon landscapes. Combining these datasets will enable us to estimate forest and ecosystem changes, identify areas vulnerable to collapse, and model changes to regional carbon and water cycling to inform current restoration and research efforts in the Everglades.

     

    Total Carbon Estimation in African Mangroves and Coastal Wetlands in Preparation for REDD and Blue Carbon Credits

    Our goals are to develop the methodlogies for, and produce the initial remote sensing products necessary to implement a MRV (monitoring, reporting, and verification) system in Coastal Blue Carbon ecosystems in collaboration with local in country and international partners. We plan to estimate forest change, structure, and biomass of mangrove forests to improve carbon management, monitoring, carbon cycle science, and to inform REDD+ and carbon emission mitigation projects in Tanzania, Mozambique, and Gabon.

    Vulnerability Assessment of Mangrove Forests in the Americas


    Research Interests

    Remote Sensing of Wetlands


    Coastal Hydrogeology


    Carbon-Water Cycling


    Groundwater/ Surface Water Interactions


    Land-Water-Atmosphere Interactions


    Land Cover/Land Use Change: Anthropogenic and Natural Disturbances


    Positions/Employment

    5/2014 - Present

    Postdoctoral Research Scientist

    Universities Space Research Association, NASA Goddard Space Flight Center, Greenbelt, MD

    Education

    Ph.D. in Geological Sciences (2014), Florida International University, Miami, FL

    M.S. in Geology (2009), East Carolina University, Greenville, NC

    B.S. in Geological Sciences (2007), Florida International Univeristy, Miami, FL

    Professional Societies

    Florida Coastal Everglades: LTER, 2009 - Present
    American Geophysical Union, 2008 - Present
    Geological Society of America, 2007 - Present

    Awards

    McKnight Dissertation Year Fellowship (2013-2014)
    ASD Goetz Instrument Support Program (2011)


    Selected Publications

    Refereed

    Lagomasino, D., T. Fatoyinbo, S. Lee, et al. E. Feliciano, C. Trettin, and M. Simard. 2016. "A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space." Remote Sensing, 8 (4): 327 [10.3390/rs8040327]

    Lagomasino, D., T. Fatoyinbo, S.-K. Lee, and M. Simard. 2015. "High-resolution forest canopy height estimation in an African blue carbon ecosystem." Remote Sens Ecol Conserv, 1 (1): 51-60 [10.1002/rse2.3]

    Lee, S.-K., L. E. Fatoyinbo Agueh, D. Lagomasino, et al. B. Osmanoglu, M. Simard, C. Trettin, M. Rahman, and I. Ahmed. 2015. "Large-scale mangrove canopy height map generation from TanDEM-X data by means of Pol-InSAR techniques." 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), [10.1109/igarss.2015.7326420]

    Campbell, P. K., E. M. Middleton, K. J. Thome, et al. F. Kokaly, K. F. Huemmrich, D. Lagomasino, K. Novick, and N. Brunsell. 2013. "EO-1 Hyperion Reflectance Time Series at Calibration and Validation Sites: Stability and Sensitivity to Seasonal Dynamics." IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, 6 (2): 276-290 [10.1109/JSTARS.2013.2246139]

    Talks, Presentations and Posters

    Invited

    Water-vegetation-atmosphere interactions in coastal carbonate estuaries

    4 / 2014

    Department of Civil and Environmental Engineering Seminar, University of California Berkeley, Berkeley, CA.

    Connecting groundwater and surface water sources in a groundwater dependent coastal wetland: Sian Ka’an Biosphere Reserve, Quintana Roo, Mexico 2 / 2014
    McKnight Mid-Year Research and Writing Conference. Tampa, FL.

    Other

    Linking Hydrology, Geology, and Ecology at the Coastal Boundary

    3 / 3 / 2016

    NASA GSFC Hydrospheric Sciences Branch Terrestrial Water Cycle Seminar

    Hydrologic signals and patterns in coastal mangrove communities using space-borne remote sensing 5 / 2013
    American Geophysical Union: Meeting of the Americas, Cancun, Mexico
    Tracing coastal and estuarine groundwater discharge sources in a complex faulted and fractured karst aquifer system 5 / 2013
    American Geophysical Union: Meeting of the Americas, Cancun, Mexico
    Seasonal water chemistry and spectral reflectance in coastal mangroves 6 / 2012
    9th INTECOL International Wetlands Conference. Orlando, FL.
    Monitoring hydrogeochemical interactions in coastal mangroves in Everglades National Park using field spectroscopy and remote sensing 12 / 2011
    American Geophysical Union: Fall Meeting, San Francisco, CA.
    Seasonal spectral dynamics and carbon fluxes at core EOS sites using EO-1 Hyperion images 12 / 2010
    American Geophysical Union: Fall Meeting, San Francisco, CA.

    Selected Public Outreach

    NASA International Space Apps Challenge 1 / 2012 - 4 / 2012
    https://2014.spaceappschallenge.org/

    Brief Bio

    David is a remote sensing scientist with a strong background in coastal hydrogeology. His research interests cover a wide range of topics including land-water-atmosphere interactions and coastal hydrogeology. More specifically, his interests combine land use change, energy balance and water quality monitoring, and water-carbon cycle science in transitional environments at the land-sea interface. He has engaged in interdisciplinary collaborations with different agencies at the local, state, and federal levels, as well as with researchers from a variety of backgrounds.

    Selected Publications

    Refereed

    Lagomasino, D., T. Fatoyinbo, S. Lee, et al. E. Feliciano, C. Trettin, and M. Simard. 2016. "A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space." Remote Sensing 8 (4): 327 [10.3390/rs8040327]

    Lagomasino, D., T. Fatoyinbo, S.-K. Lee, and M. Simard. 2015. "High-resolution forest canopy height estimation in an African blue carbon ecosystem." Remote Sens Ecol Conserv 1 (1): 51-60 [10.1002/rse2.3]

    Lee, S.-K., L. E. Fatoyinbo Agueh, D. Lagomasino, et al. B. Osmanoglu, M. Simard, C. Trettin, M. Rahman, and I. Ahmed. 2015. "Large-scale mangrove canopy height map generation from TanDEM-X data by means of Pol-InSAR techniques." 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) [10.1109/igarss.2015.7326420]

    Campbell, P. K., E. M. Middleton, K. J. Thome, et al. F. Kokaly, K. F. Huemmrich, D. Lagomasino, K. Novick, and N. Brunsell. 2013. "EO-1 Hyperion Reflectance Time Series at Calibration and Validation Sites: Stability and Sensitivity to Seasonal Dynamics." IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing 6 (2): 276-290 [10.1109/JSTARS.2013.2246139]

                                                                                                                                                                                            
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