The ORNL DAAC announces the release of a data set from the Land Use and Land Cover science theme, a component of the LBA-ECO Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA).
LBA-ECO LC-35 GOES Imager Active Fire Detection Data, South America: 2000-2005 . Data set prepared by the UW-Madison CIMSS GOES Biomass Burning Monitoring Program. This data set is an active fire detection product resulting from the application of The Wildfire Automated Biomass Burning Algorithm (WF_ABBA) to Geostationary Environmental Operational Satellite (GOES) imager data for all of South America from 2000 through 2005. GOES imager data are available at 30-minute intervals with a nominal 4 x 4-km resolution. The data provided are the latitude/longitude, brightness temperature, estimates of sub-pixel fire size and temperature, Global Land Cover Characterization (GLCC) ecosystem type, and a pixel-fire flag (0-5, information regarding the probability of a fire or processing characteristics) for each active fire detected by WF_ABBA for a 30-minute imager interval.
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.