B44E:
Spaceborne Lidar for Mapping Vegetation Structure I eLightning


Submit an Abstract to this Session


Session ID#: 63067

Session Description:
In late 2018, two space-based laser mapping systems will be launched by NASA: ICESat-2 and GEDI. Each of these lidar missions will provide data useful for mapping vegetation structure, although they collect data at different spatial resolutions, with different wavelengths and measurement strategies. GEDI is primarily focused on mapping forest structure, and its ~22 m full waveform near infrared footprints will be used to produce both footprint-level and gridded estimates of elevation, canopy height, canopy profiles and aboveground biomass. Conversely, although ICESat-2’s ATLAS instrument is designed primarily for solid Earth and ice applications, it will also provide vegetation structure products. ICESat-2 will provide estimates of vegetation canopy height, density, and vegetation profiles. This session will focus on mapping vegetation structure with GEDI and ICESat-2, and welcomes abstracts that address aspects of biomass modeling, sensor simulation, calibration/validation, data scaling, fusion approaches, inter-comparison of data to other sensors, algorithms and applications.
Primary Convener:  Laura Duncanson, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Conveners:  Amy L Neuenschwander, University of Texas at Austin, Center for Space Research, Austin, TX, United States, John David Armston, University of Maryland, Department of Geographical Sciences, College Park, United States and Sorin C Popescu, Texas A&M University, Department of Ecology and Conservation Biology, College Station, United States
Primary Liaison:  Laura Duncanson, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Chairs:  Laura Duncanson, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States and Amy L Neuenschwander, University of Texas at Austin, Center for Space Research, Austin, TX, United States
OSPA Liaison:  John David Armston, University of Maryland, Department of Geographical Sciences, College Park, United States
Index Terms:

0434 Data sets [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Joint Prediction of Sampled Forest Inventory and LiDAR Data using Linear Models for Coregionalization: An Application to National-Scale Aboveground Biomass Spatial Prediction Exploiting Space-Borne LiDAR (466387)
Chad Babcock, Michigan State University, Forestry, East Lansing, MI, United States, Andrew O Finley, Michigan State University, Department of Forestry and Geography, East Lansing, United States, Hans-Erik Andersen, USDA Forest Service Pacific Northwest Research Station, Seattle, WA, United States, Bruce Cook, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States and Douglas C Morton, NASA Goddard Space Flight Center, Greenbelt, United States
County-level forest structure and biomass mapping from fusion of GEDI lidar data and TanDEM-X InSAR data (426215)
Wenlu Qi1, Ralph Dubayah2, John David Armston2 and Steven Hancock3, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)University of Maryland College Park, Geographical Sciences, College Park, MD, United States
Current Status of the NEON AOP and Lessons Learned in Developing Airborne Remote Sensing Data Products that Support Forest Structure Characterization (441161)
Tristan Goulden, National Ecological Observatory Network, Airborne Observation Platform, Boulder, CO, United States and Bridget Hass, National Ecological Observatory Network, Boulder, CO, United States
Developing a Global Gridded Vegetation Product for ICESat-2 (419574)
Bradley Klotz, Applied Research Laboratories, University of Texas, Austin, TX, United States, Amy L Neuenschwander, University of Texas at Austin, Center for Space Research, Austin, TX, United States and Katherine Pitts, University of Texas at Austin, Austin, TX, United States
Fusing GEDI, ICESat-2 and NISAR data for aboveground biomass mapping in Sonoma County, California, USA (465443)
Carlos Alberto Silva1, Laura Duncanson2, Steven Hancock3, Amy L Neuenschwander4, Nathan Marc Thomas5, John David Armston6, Michelle A Hofton7, Temilola Fatoyinbo8, Marc Simard9 and Ralph Dubayah6, (1)University of Idaho, Moscow, ID, United States, (2)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (3)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (4)University of Texas at Austin, Center for Space Research, Austin, TX, United States, (5)University of Maryland, College Park, United States, (6)University of Maryland, Department of Geographical Sciences, College Park, United States, (7)Univ Maryland College Park, College Park, United States, (8)NASA GSFC, Biospheric Science, Greenbelt, United States, (9)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
GEDI Aboveground Biomass Modeling: Which Waveform Metrics are Most Useful to Predict Biomass Across Different Continents and Plant Functional Types? (467249)
Laura Duncanson1, John David Armston2, James R Kellner3, Steven Hancock4, Suzanne Marselis4, David Minor5, Sean P Healey6, Paul L Patterson6, Scott J. Goetz7 and Ralph Dubayah2, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)Brown University, Providence, RI, United States, (4)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (5)Michigan State University, East Lansing, MI, United States, (6)Rocky Mountain Research Station, Ogden, United States, (7)Northern Arizona University, SICCS, Flagstaff, AZ, United States
Ice, Cloud and Land Elevation Satellite-2 Mission Status for Land and Vegetation applications (Invited) (373832)
Lori A Magruder, University of Texas at Austin, Austin, TX, United States
Cross-validation and Transferability Performance of GEDI Footprint Aboveground Biomass Models (403069)
James R Kellner1, Laura Duncanson2, John David Armston3, James Bryan Blair4, Steven Hancock5, Sean P Healey6, Michelle A Hofton7, Scott B Luthcke8, Suzanne Marselis5, David Minor9, Paul L Patterson6, Hao Tang10 and Ralph Dubayah3, (1)Brown University, Providence, RI, United States, (2)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (3)University of Maryland, Department of Geographical Sciences, College Park, United States, (4)NASA Goddard Space Flight Center, Code 61A, Greenbelt, MD, United States, (5)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (6)Rocky Mountain Research Station, Ogden, United States, (7)Univ Maryland College Park, College Park, United States, (8)NASA Goddard Space Flight Center, Geodesy and Geophysics Laboratory, Greenbelt, MD, United States, (9)Michigan State University, East Lansing, MI, United States, (10)University of Maryland College Park, College Park, MD, United States
Mapping global canopy cover and vertical profile metrics using spaceborne lidar (466163)
Hao Tang1, John David Armston2, Steven Hancock1, Scott J. Goetz3 and Ralph Dubayah2, (1)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)Northern Arizona University, SICCS, Flagstaff, AZ, United States
Pre-launch assessment of Global Ecosystem Dynamics Investigation (GEDI) performance for biomass mapping (467523)
John David Armston1, Steven Hancock2, Hao Tang3, Paul L Patterson4, Sean P Healey4, James R Kellner5, Laura Duncanson1, Scott B Luthcke6, Ralph Dubayah7 and GEDI Science Definition Team, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (3)University of Maryland College Park, College Park, MD, United States, (4)Rocky Mountain Research Station, Ogden, United States, (5)Brown University, Providence, RI, United States, (6)NASA Goddard Space Flight Center, Geodesy and Geophysics Laboratory, Greenbelt, MD, United States, (7)University of Maryland, Department of Geographical Sciences, College Park, United States
Regional Carbon Stocks and Fluxes using Satellite Lidar over a Temperate Forest (408522)
Alexander S Antonarakis, University of Sussex, Brighton, BN1, United Kingdom and Alejandro Guizar Coutiño, Cambridge University, Department of Plant Sciences, Cambridge, United Kingdom
Spaceborne GEDI and TanDEM-X data fusion for enhanced forest height and biomass (445844)
Seung-Kuk Lee1, Temilola Fatoyinbo2, Wenlu Qi3, Steven Hancock4, John David Armston5, Matteo Pardini6, Konstantinos Papathanassiou6 and Ralph Dubayah5, (1)NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States, (2)NASA GSFC, Biospheric Science, Greenbelt, United States, (3)University of Maryland College Park, College Park, MD, United States, (4)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (5)University of Maryland, Department of Geographical Sciences, College Park, United States, (6)German Aerospace Center, Oberpfaffenhofen, Germany
The Global Ecosystem Dynamics Investigation: Current Status (410963)
Ralph Dubayah, University of Maryland College Park, College Park, MD, United States and The GEDI Science Definition Team

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