B33J:
Spaceborne Lidar for Mapping Vegetation Structure II Posters


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Session ID#: 51849

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:  John David Armston, University of Maryland, Department of Geographical Sciences, College Park, United States and Amy L Neuenschwander, University of Texas at Austin, Center for Space Research, Austin, TX, United States
OSPA Liaison:  Sorin C Popescu, Texas A&M University, Department of Ecology and Conservation Biology, College Station, United States
Index Terms:

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

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