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LBA-ECO ND-11 Soil Properties of Forested Headwater Catchments, Mato Grosso, Brazil
Summary
- Type of release
- a one-off release of a single dataset
- Data Licence
- Not Applicable
- Content Licence
- Creative Commons CCZero
- Verification
- automatically awarded
- Release Date
- 8 October 2014
- Modified Date
- 8 July 2015
- Update Frequency
- irregular
- Publishers
- National Aeronautics and Space Administration
- Keywords
- earth-science, national-geospatial-data-asset, ngda, soils, solid-earth
- Identifier
- lba-eco-nd-11-soil-properties-of-forested-headwater-catchments-mato-grosso-brazil
- Landing Page
- http://reverb.echo.nasa.gov/reverb?selected=C179002890-ORNL_DAAC
- Maintainers
- PLEASE CONTACT ORNL DAAC User Services ornldaac@ornl.gov
- Theme
- geospatial
- Language
- en-US
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Description
The results of the analysis of soil chemical parameters, texture, and color are reported for 185 georeferenced soil profile sample points over four forested headwater catchments near Juruena, Mato Grosso, Brazil (Novaes Filho, et al., 2007a and Novaes Filho, et al., 2007b). Samples were collected from an approximately 20 x 20 m grid over each watershed from 2004/05/01 to 2004/08/18. By sampling each location at depths of 0-20 and 40-60 cm it was possible to distinguish and map the principle soil classes found in the study area to the 2nd category level of the Brazilian System of Soil Classification (Cooper et al., 2005) associated with the topographic relief. The data set contains one comma separated ASCII data file with spatially referenced soil nutrient and organic carbon data from 0-20 cm (A layer, topsoil) and 40-60 cm (B layer, subsoil)depths for the Juruena watersheds study area.A satisfactory relationship between the redness index of the diagnostic horizons and the soil class colors was also found. In spite of the apparent homogeneity of the visible landscape characteristics such as slope, soil color, and vegetation, the carbon and soil clay attributes were found to vary greatly. This variability over small distances demonstrates that extrapolation of soil characteristics and soil carbon stocks to larger areas could produce erroneous results if the spatial variability of the soil attributes is not taken into consideration.
General Information
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This data is described at
http://catalog.data.gov/dataset/lba-eco-nd-11-soil-properties-of-forested-headwater-catchments-mato-grosso-brazil Do you think this data is incorrect? Let us know
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This data is published by
National Aeronautics and Space Administration Do you think this data is incorrect? Let us know
Legal Information
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The rights statement is at
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Outside the US, this data is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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There are
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The content is available under
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its data licence Do you think this data is incorrect? Let us know
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The data appears in this collection
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The accuracy or relevance of this data will
go out of date but it is timestamped Do you think this data is incorrect? Let us know
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The data is
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Technical Information
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This data is published at
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Find out how to contact someone about this data at
http://catalog.data.gov/dataset/lba-eco-nd-11-soil-properties-of-forested-headwater-catchments-mato-grosso-brazil Do you think this data is incorrect? Let us know
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Find out how to suggest improvements to publication at
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