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Spatial scaling of waveform lidar data within Eddy-flux tower fetch to characterize heterogeneity of semi-arid ecosystems
Dan
Krofcheck, University of New Mexico, krofcheck@gmail.com
(Presenter)
Amy
Neuenschwander, University of Texas, amy@csr.utexas.edu
Andrew
M.
Fox, National Ecological Observatory Network, Boulder, CO, afox@neoninc.org
Marcy
E.
Litvak, University of New Mexico, mlitvak@unm.edu
The canopy structure of semi-arid ecosystems is extremely heterogeneous due to varying environmental factors (e.g. precipitation, disturbance, and edaphic controls). Given the heterogeneity of the landscape and the inherent complexity of the vegetation structure of these biomes (e.g. inconsistent canopy, multiple branched stem architecture), the characterization of vegetation in these environments requires the use of high spatial resolution data (i.e. <1m). However, highly resolved spatial data brings about new challenges in creating vegetation descriptions at such fine resolutions and determining how this information should be scaled to coarse resolutions to be useful at regional and landscape scales. Full-waveform lidar data were flown over Ameriflux sites in a juniper savanna, a piņon-juniper woodland, and a ponderosa pine forest in September 2011. Here we investigate the utility of waveform lidar derived metrics of canopy structure to improve estimations of woody biomass in these systems. In particular, we quantify how well laser waveform derived parameters were able to accurately estimate vegetation structure (above ground biomass, height and leaf area), providing a critical test of the potential of space-based lidar in three of the most dominant biomes in the southwestern US. We combined these lidar data with WorldView-2 measures of canopy reflectance to quantify how canopy structure varies both between these biomes and within each tower site to parameterize CLM-DART (Community Land Model (v. 4.5) with data assimilation) to quantify carbon pools and fluxes in these biomes.
Presentation Type: Poster
Session: Poster Session 2-A
(Wed 11:00 AM)
Associated Project(s):
Poster Location ID: 57
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