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SMEX03 Ancillary Soil Characteristics Data, Alabama
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
- 26 February 2015
- Modified Date
- 31 August 2015
- Update Frequency
- irregular
- Publishers
- National Aeronautics and Space Administration
- Keywords
- agriculture, earth-science, land-surface, soils
- Identifier
- smex03-ancillary-soil-characteristics-data-alabama-b063f
- Landing Page
- http://reverb.echo.nasa.gov/reverb?selected=C3562-NSIDCV0
- Maintainers
- Michael Cosh (Undefined) support@earthdata.nasa.gov
- Language
- en-US
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Description
The SMEX03 Ancillary Soil Characteristics data set contains data for the regional study areas of Alabama, Georgia, and Oklahoma, USA as part of the 2003 Soil Moisture Experiment (SMEX03). The original data were extracted from a multi-layer soil characteristics database for the conterminous United States and generated using Environmental Systems Research Institute (ESRI) ArcMap software for each regional study area. Parameters for this data set include available water capacity, bulk density, permeability, porosity, rock fragment class, rock fragment volume, percent sand, percent clay, and texture class. The temporal coverage is approximate, as these data are representative of the conditions present in each regional study area during the general timeline of the SMEX03 campaign. The total volume for these data sets is approximately 2.8 gigabytes. Data are provided in ASCII text files and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements.
General Information
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This data is described at
http://catalog.data.gov/dataset/smex03-ancillary-soil-characteristics-data-alabama-b063f 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
http://catalog.data.gov/dataset/smex03-ancillary-soil-characteristics-data-alabama-b063f Do you think this data is incorrect? Let us know
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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
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
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The content is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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The rights statement includes data about
its data licence Do you think this data is incorrect? Let us know
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This data contains
no data about individuals Do you think this data is incorrect? Let us know
Practical Information
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The data appears in this collection
http://catalog.data.gov/organization/nasa-gov Do you think this data is incorrect? Let us know
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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
backed up offsite Do you think this data is incorrect? Let us know
Technical Information
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This data is published at
http://reverb.echo.nasa.gov/reverb?selected=C3562-NSIDCV0 Do you think this data is incorrect? Let us know
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The format of this data is
a standard open format Do you think this data is incorrect? Let us know
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Find out how to contact someone about this data at
http://catalog.data.gov/dataset/smex03-ancillary-soil-characteristics-data-alabama-b063f 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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