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Two LBA Land Use and Land Cover Data Sets Released

Submitted by ORNL DAAC Staff on

The ORNL DAAC announces the release of two image data sets from the Land Use and Land Cover science theme (LC-15 team), a component of the LBA-ECO Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA).

LBA-ECO LC-15 SRTM30 Digital Elevation Model Data, Amazon Basin: 2000 . Data set prepared by S. Saatchi. This data set provides a subset of the SRTM30 Digital Elevation Model (DEM) elevation and standard deviation data (STD of the data points used in the averaging) for the Amazon Basin. SRTM30 is a near-global digital elevation model (DEM) comprising a combination of data from the Shuttle Radar Topography Mission (SRTM), flown in February, 2000, and the earlier U.S. Geological Survey's GTOPO30 data set.

LBA-ECO LC-15 Aerodynamic Roughness Maps of Vegetation Canopies, Amazon Basin: 2000 . Data set prepared by S. Saatchi, E. Rodriguez, S. Denning, and R. Dubayah. This data set provides physical roughness maps of vegetation canopies in the Amazon Basin. The images are estimates of aerodynamic roughness length (Z0) and zero plane displacement height (D0) at 1-km spatial resolution. The data input sources included Shuttle Radar Topography Mission (SRTM), JERS-1, MODIS, and field data from vegetation biomass plots over the Amazon basin, as well as tower-based wind profile measurements, and roughness parameters from LBA tower sites.

LBA was an international research initiative under the leadership of Brazil. The project focused on the climatological, ecological, biogeochemical, and hydrological functions of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. The LBA-ECO component, which was funded by NASA, focused on the question: "How do tropical forest conversion, regrowth, and selective logging influence carbon storage, nutrient dynamics, trace gas fluxes, and the prospect for sustainable land use in Amazonia? "

The ORNL DAAC is a NASA-funded data center archiving and distributing terrestrial ecology and biogeochemical dynamics data.