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LBA-ECO CD-06 Soil Classification Map, Ji-Parana River Basin, Rondonia, Brazil

Data Set Overview

Data setLBA-ECO CD-06 Soil Classification Map, Ji-Parana River Basin, Rondonia, Brazil
Release date2012-05-24
ProjectLarge Scale Biosphere-Atmosphere
Time Period1983-01-01


This data set provides a digital map of soil orders for the Ji-Parana River Basin, in the state of Rondonia, Brazil (Western Amazonia). Soil orders were manually digitized from a 1:500,000 map from EMBRAPA originally published in 1983. Oxisols and Ultisols are the predominant soil types in the basin, encompassing 47% and 24% of the total drainage area, respectively. Entisols cover 14%, Alfisols 13% and Eptisols 2% of the basin (Ballester et al., 2003). One data file is provided in ESRI ArcGIS Shapefile format compressed into a single zip file (*.zip).


Data set reference document


Ballester, M.V.R., D. DE C. Victoria, A.V. Krusche, R.L. Victoria, and J.E. Richey. 2012. LBA-ECO CD-06 Soil Classification Map, Ji-Parana River Basin, Rondonia, Brazil. ORNL DAAC, Oak Ridge, Tennessee, USA.
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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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  • CD06_Soils_JiParana.pdf

Data Files

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Data File (Granule)File SizeDates 240.1 KB 1983-01-01 - 1983-12-31

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Files related to this data set have been downloaded on 53 occasions since 2012-05-29, totaling 118 files.