HR: 0800h
AN: B41B-0193    [Abstracts]
TI: Forest structure from lidar and multi-angle imaging spectrometer data
AU: * Ranson, J
EM: jon.ranson@nasa.gov
AF: NASA's GSFC, Biospheric Sciecnes Branch Code 614.4, Greenbelt, MD 20771 United States
AU: Sun, G
EM: guoqing@taiga.gsfc.nasa.gov
AF: University of Maryland, Department of Geography, College Park, MD 20742 United States
AU: Kimes, D
EM: daniel.s.kimes@nasa.gov
AF: NASA's GSFC, Biospheric Sciecnes Branch Code 614.4, Greenbelt, MD 20771 United States
AU: Kovacs, K
EM: kkovacs@forest.gsfc.nasa.gov
AF: SSAI, Inc., NASA's GSFC Biopsheric Sciences Branch Code 614.4, Greenbelt, MD 20771 United States
AB: Vegetation spatial structure is an important factor influencing the exchanges of matter and energy between the landscape and atmosphere, and the biodiversity of ecosystems. While the lidar waveform signature from a large-footprint lidar instrument can be used to estimate the tree height and forest above-ground biomass the most lidar instruments do not have the mapping capability, and provide only sample data in a region. Terra's Multiangle Imaging Spectroradiometer (MISR) instrument provide implicit information on forest spatial structure with mapping capabilities. Combining the vertical sampling of lidar with mapping capability provides a possibility of mapping forest spatial parameters at regional, and even global scales. This study explored the use of airborne MISR-like data for estimating forest structural parameters derived from lidar.
DE: 0428 Carbon cycling (4806)
DE: 0439 Ecosystems, structure and dynamics (4815)
DE: 0480 Remote sensing
SC: Biogeosciences [B]
MN: Fall Meeting 2005