Data Set Overview
|Data set||LBA-ECO LC-09 Land Cover Transitions Maps for Study Sites in Para, Brazil: 1970-2001|
|Project||Large Scale Biosphere-Atmosphere|
|Time Period||1985-01-01 to 2001-12-31|
This data set includes classified land cover transition maps at 30-m resolution derived from Landsat TM, MSS, ETM+ imagery and aerial photos of Altamira, Santarem, and Ponta de Pedras, in the state of Para, Brazil. The Landsat images were classified into several types of land use (e.g., forest, secondary succession, pasture, annual crops, perennial crops, and water) and subjected to change detection analysis to create transition matrices of land cover change. Dates of acquired images represent the most cloud-free image retrievals from 1970-2001 for each site and are therefore not continuous. There are 3 GeoTIFF files (.tif) with this data set.
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Large Scale Biosphere-Atmosphere : The Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) is an intensive scientific investigation of the tropical rainforest of Brazil and portions of adjacent countries. Like FIFE and BOREAS, this project uses intensive remote-sensing techniques and ground-based experiments to investigate the atmosphere-biosphere-hydrosphere dynamics of this large tropical region. The LBA Project encompasses several scientific disciplines, or components. The LBA-ECO component focuses 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?"
Project data set list for Large Scale Biosphere-Atmosphere .
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|Data File (Granule)||File Size||Dates||Latitude||Longitude|
|rs_class_altemira.tif||30.7 MB||1985-01-01 - 2001-12-31||2.50S To 4.00S||51.00W To 54.00W|
|rs_class_santarem.tif||163.4 MB||1985-01-01 - 2001-12-31||2.31S To 4.56S||54.29W To 55.61W|
|rs_class_pontadepedras.tif||1.2 MB||1985-01-01 - 2001-12-31||1.36S||48.86W|
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Files related to this data set have been downloaded on 466 occasions since 2012-06-29, totaling 1737 files.