Data Set Overview
|Data set||LBA-ECO LC-24 Landsat TM and ETM+ Land Cover, Southern Para, Brazil: 1984-2003|
|Project||Large Scale Biosphere-Atmosphere|
|Time Period||1984-08-03 to 2003-08-03|
This data set is a five-class land cover for Southern Para for the years 1984 (Landsat MSS), 1988 (Landsat TM), 1996, and 2003 (Landsat ETM+). The final classification shows five classes derived using visual comparison (Water, Clouds/Shadow, Forest, Not Forest, Background). These data were used in 2007 to illustrate the nature of deforestation in Southern Para, Brazil over the past twenty years (Simmons et al. 2007). There are four annual GeoTIFF files distributed with this data set. Each GeoTIFF file and accompanying *.tfw file have been compressed into a single *.zip file.
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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|
|sparalc1984.zip||1.4 MB||1984-08-03 - 1984-12-31||4.83S To 34.83S||19.84W To 49.84W|
|sparalc1996.zip||2.5 MB||1996-01-01 - 1996-12-31||4.87S To 34.87S||19.86W To 49.86W|
|sparalc2003.zip||2.5 MB||2003-01-01 - 2003-08-03||4.80S To 34.80S||19.94W To 49.94W|
|sparalc1988.zip||2.3 MB||1988-01-01 - 1988-12-31||4.79S To 34.79S||19.93W To 49.93W|
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Files related to this data set have been downloaded on 445 occasions since 2012-04-10, totaling 2292 files.