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LBA-ECO LC-24 Landsat ETM+ Forest Cover Classification, Uruara, Para, Brazil: 1999

Data Set Overview

Data setLBA-ECO LC-24 Landsat ETM+ Forest Cover Classification, Uruara, Para, Brazil: 1999
DOI10.3334/ORNLDAAC/1054
Release date2011-12-29
ProjectLarge Scale Biosphere-Atmosphere
Time Period1999-08-03

Description

This data set contains a 1999 Landsat ETM+ mosaic image land of cover classification showing forested and deforestation areas in Uruara, Para, Brazil. This image may be overlain with the cadastral property map of the same area (see related data set LBA-ECO LC-24 Cadastral Property Map of Uruara, Para, Brazil: ca.1975). This data sets contains a single geotiff image distributed as deforested_large.zip.

Documentation

Data set reference document

Citation

Vergara, D.G, R.T. Walker, E.Y. Arima, and M.M. Caldas. 2011. LBA-ECO LC-24 Landsat ETM+ Forest Cover Classification, Uruara, Para, Brazil: 1999. ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/1054
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Project

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 .

Companion Files

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  • LC24_ETM_Deforestation_Map_Para_1999.pdf

Data Files

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Data File (Granule)File SizeDates
deforested_large.zip 2.3 MB 1999-08-03 - 1999-08-19

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Files related to this data set have been downloaded on 22 occasions since 2012-01-09, totaling 57 files.