NDHUB.LANDCLASS_NASS_2015

SDE Raster Dataset

Tags
2015, UK-DMC 2, agriculture, CropScape, cropland, farming, 001, Continent > North America > United States of America > North Dakota, imageryBaseMapsEarthCover, 010, crop estimates, North Dakota, environment, 007, Landsat, crop cover, DEIMOS-1, Earth Science > Biosphere > Terrestrial Ecosystems > Agricultural Lands, ND, land cover, Earth Science > Land Surface > Land Use/Land Cover > Land Cover

Description

The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2015 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 8 OLI/TIRS sensor and the Disaster Monitoring Constellation (DMC) DEIMOS-1 and UK2 sensors collected during the current growing season. Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED) and the imperviousness and canopy data layers from the USGS National Land Cover Database 2011 (NLCD 2011). Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The most current version of the NLCD is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer.

Summary

The purpose of the Cropland Data Layer Program is to use satellite imagery to (1) provide acreage estimates to the Agricultural Statistics Board for the state's major commodities and (2) produce digital, crop-specific, categorized geo-referenced output products.

Credits

USDA, National Agricultural Statistics Service

Use limitations

The USDA, NASS Cropland Data Layer is provided to the public as is and is considered public domain and free to redistribute. The USDA, NASS does not warrant any conclusions drawn from these data. If the user does not have software capable of viewing GEOTIF (.tif) file formats then we suggest using the CropScape website <http://nassgeodata.gmu.edu/CropScape/> or the freeware browser ESRI ArcGIS Explorer <http://www.esri.com/>.

Metadata 

Topics and Keywords 

Themes or categories of the resource  imageryBaseMapsEarthCover, environment, farming


*Content type  Downloadable Data


Place keywords  North Dakota, ND

Place keywords  Continent > North America > United States of America > North Dakota

Thesaurus
Title Global Change Master Directory (GCMD) Location Keywords




Temporal keywords  2015

Theme keywords  farming, 001, imageryBaseMapsEarthCover, 010, environment, 007

Thesaurus
Title ISO 19115 Topic Category




Theme keywords  UK-DMC 2, agriculture, CropScape, cropland, crop estimates, Landsat, crop cover, DEIMOS-1, land cover

Theme keywords  Earth Science > Biosphere > Terrestrial Ecosystems > Agricultural Lands, Earth Science > Land Surface > Land Use/Land Cover > Land Cover

Thesaurus
Title Global Change Master Directory (GCMD) Science Keywords




Citation 

*Title NDHUB.LANDCLASS_NASS_2015
Publication date 2016-02-12


Edition 2015 Edition


Presentation formats  digital map
FGDC geospatial presentation format  raster digital data


Other citation details
NASS maintains a Frequently Asked Questions (FAQ's) section on the CDL website at <http://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>. The data is available free for download through CropScape at <http://nassgeodata.gmu.edu/CropScape/>. The data is also available free for download through the Geospatial Data Gateway at <http://datagateway.nrcs.usda.gov/>. See the 'Ordering Instructions' section of this metadata file for detailed Geospatial Data Gateway download instructions.



Citation Contacts 

Responsible party
Organization's name United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS), Research and Development Division (RDD), Geospatial Information Branch (GIB), Spatial Analysis Research Section (SARS)
Contact's role  originator


Responsible party
Organization's name USDA, NASS
Contact's role  publisher


Contact information
Address
Delivery point USDA, NASS Marketing and Information Services Office, Washington, D.C.



Resource Details 

Dataset languages  English (UNITED STATES)


Status  completed
Spatial representation type* grid


Supplemental information
*Processing environment Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959


Credits
USDA, National Agricultural Statistics Service

*Name NDHUB.LANDCLASS_NASS_2015

Extents 

Extent
Geographic extent
Bounding rectangle
West longitude -104.3458
East longitude -96.5624
South latitude 45.9121
North latitude 48.9865

Extent
Description
2015 growing season

Temporal extent
Beginning date 2014-01-01
Ending date 2015-12-31

Extent
Geographic extent
Bounding rectangle
Extent type  Extent used for searching
*West longitude -104.450062
*East longitude -96.220734
*North latitude 49.261990
*South latitude 45.671869
*Extent contains the resource Yes

Extent in the item's coordinate system
*West longitude 102519.221432
*East longitude 702339.221432
*South latitude 5070270.646859
*North latitude 5456580.646859
*Extent contains the resource Yes

Resource Points of Contact 

Point of contact
Individual's name USDA, NASS, Spatial Analysis Research Section staff
Organization's name USDA, NASS, Spatial Analysis Research Section
Contact's role  point of contact


Contact information
Phone
Voice 703-877-8000
Fax 703-877-8044

Address
Type both
Delivery point 3251 Old Lee Highway, Room 305
City Fairfax
Administrative area Virginia
Postal code 22030-1504
Country US
e-mail addressHQ_RDD_GIB@nass.usda.gov



Resource Maintenance 

Resource maintenance
Update frequency  not planned


Resource Constraints 

Legal constraints
Limitations of use
Disclaimer: Users of the Cropland Data Layer (CDL) are solely responsible for interpretations made from these products. The CDL is provided 'as is' and the USDA, NASS does not warrant results you may obtain using the Cropland Data Layer. Contact our staff at (HQ_RDD_GIB@nass.usda.gov) if technical questions arise in the use of the CDL. NASS does maintain a Frequently Asked Questions (FAQ's) section on the CDL website at <http://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>.

Security constraints
Classification  unclassified
Classification system None


Additional restrictions
None



Constraints
Limitations of use
The USDA, NASS Cropland Data Layer is provided to the public as is and is considered public domain and free to redistribute. The USDA, NASS does not warrant any conclusions drawn from these data. If the user does not have software capable of viewing GEOTIF (.tif) file formats then we suggest using the CropScape website <http://nassgeodata.gmu.edu/CropScape/> or the freeware browser ESRI ArcGIS Explorer <http://www.esri.com/>.

Spatial Reference 

ArcGIS coordinate system
*Type Projected
*Geographic coordinate reference GCS_North_American_1983
*Projection UTMZone_14N
*Coordinate reference details
Projected coordinate system
X origin -5120900
Y origin -9998100
XY scale 450445547.3910538
Z origin -100000
Z scale 10000
M origin -100000
M scale 10000
XY tolerance 0.001
Z tolerance 0.00020000000000000001
M tolerance 0.00020000000000000001
High precision true
Well-known text PROJCS["UTMZone_14N", GEOGCS["GCS_North_American_1983", DATUM["D_North_American_1983", SPHEROID["GRS_1980", 6378137.0, 298.257222101]], PRIMEM["Greenwich", 0.0], UNIT["Degree", 0.0174532925199433]], PROJECTION["Transverse_Mercator"], PARAMETER["false_easting", 500000.0], PARAMETER["false_northing", 0.0], PARAMETER["central_meridian", -99.0], PARAMETER["scale_factor", 0.9996], PARAMETER["latitude_of_origin", 0.0], UNIT["Meter", 1.0]]

Reference system identifier
*Value 0


Spatial Data Properties 

Scale Range

Maximum (zoomed in)  1:5,000
Minimum (zoomed out)  1:50,000
Georectified Grid
Number of dimensions 2


Axis dimensions properties
Dimension type  row (y-axis)
Dimension size 11753

Axis dimensions properties
Dimension type  column (x-axis)
Dimension size 19337

Cell geometry  area




Indirect spatial referencing
North Dakota


Data Quality 

Scope of quality information
Resource level  dataset




Data quality report - Conceptual consistency
Measure description
The Cropland Data Layer (CDL) has been produced using training and independent validation data from the Farm Service Agency (FSA) Common Land Unit (CLU) Program (agricultural data) and United States Geological Survey (USGS) National Land Cover Database 2011 (NLCD 2011). More information about the FSA CLU Program can be found at <http://www.fsa.usda.gov/>. More information about the NLCD can be found at <http://www.mrlc.gov/>. The CDL encompasses the entire state unless noted otherwise in the 'Completeness Report' section of this metadata file.





Data quality report - Completeness omission
Measure description
The entire state is covered by the Cropland Data Layer.





Data quality report - Quantitative attribute accuracy
Measure description
If the following table does not display properly, then please visit this internet site <http://www.nass.usda.gov/Research_and_Science/Cropland/metadata/meta.php> to view the original metadata file. >USDA, National Agricultural Statistics Service, 2015 North Dakota Cropland Data Layer >STATEWIDE AGRICULTURAL ACCURACY REPORT > >Crop-specific covers only *Correct Accuracy Error Kappa >------------------------- ------- -------- ------ ----- >OVERALL ACCURACY** 549,171 83.0% 17.0% 0.798 > > >Cover Attribute *Correct Producer's Omission User's Commission Cond'l >Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa >---- ---- ------ -------- ----- ----- -------- ----- ----- >Corn 1 65197 91.99% 8.01% 0.914 93.38% 6.62% 0.929 >Sorghum 4 129 27.86% 72.14% 0.278 63.24% 36.76% 0.632 >Soybeans 5 134670 94.23% 5.77% 0.933 93.47% 6.53% 0.924 >Sunflower 6 17876 88.29% 11.71% 0.881 90.89% 9.11% 0.907 >Barley 21 16879 67.66% 32.34% 0.670 82.48% 17.52% 0.820 >Durum Wheat 22 22511 64.85% 35.15% 0.638 77.26% 22.74% 0.764 >Spring Wheat 23 177036 93.23% 6.77% 0.915 87.03% 12.97% 0.840 >Winter Wheat 24 3325 59.79% 40.21% 0.596 84.24% 15.76% 0.842 >Rye 27 316 44.95% 55.05% 0.449 83.82% 16.18% 0.838 >Oats 28 1444 29.00% 71.00% 0.288 52.72% 47.28% 0.525 >Millet 29 236 25.74% 74.26% 0.257 57.99% 42.01% 0.579 >Canola 31 35577 93.89% 6.11% 0.936 95.69% 4.31% 0.955 >Flaxseed 32 7245 71.20% 28.80% 0.709 82.30% 17.70% 0.821 >Safflower 33 98 30.25% 69.75% 0.302 67.12% 32.88% 0.671 >Rape Seed 34 0 0.00% 100.00% 0.000 n/a n/a n/a >Mustard 35 126 59.15% 40.85% 0.591 84.00% 16.00% 0.840 >Alfalfa 36 7666 54.26% 45.74% 0.537 66.15% 33.85% 0.657 >Other Hay/Non Alfalfa 37 19586 55.33% 44.67% 0.540 66.27% 33.73% 0.650 >Buckwheat 39 87 37.66% 62.34% 0.377 79.09% 20.91% 0.791 >Sugarbeets 41 5673 95.78% 4.22% 0.958 97.69% 2.31% 0.977 >Dry Beans 42 14611 86.75% 13.25% 0.865 89.43% 10.57% 0.892 >Potatoes 43 1155 67.11% 32.89% 0.671 90.52% 9.48% 0.905 >Other Crops 44 0 0.00% 100.00% 0.000 n/a n/a n/a >Onions 49 0 0.00% 100.00% 0.000 n/a n/a n/a >Lentils 52 4426 80.22% 19.78% 0.801 88.31% 11.69% 0.882 >Peas 53 9644 83.99% 16.01% 0.838 86.57% 13.43% 0.864 >Clover/Wildflowers 58 38 32.20% 67.80% 0.322 82.61% 17.39% 0.826 >Sod/Grass Seed 59 0 0.00% 100.00% 0.000 n/a n/a n/a >Switchgrass 60 0 0.00% 100.00% 0.000 n/a n/a n/a >Fallow/Idle Cropland 61 3614 40.94% 59.06% 0.406 64.79% 35.21% 0.645 >Triticale 205 0 0.00% 100.00% 0.000 0.00% 100.00% 0.000 >Dbl Crop Corn/Soybeans 241 0 n/a n/a n/a 0.00% 100.00% 0.000 >Radishes 246 6 27.27% 72.73% 0.273 75.00% 25.00% 0.750 > >*Correct Pixels represents the total number of independent validation pixels correctly identified in the error matrix. >**The Overall Accuracy represents only the FSA row crops and annual fruit and vegetables (codes 1-61, 66-80, 92 and 200-255). >FSA-sampled grass and pasture. Non-agricultural and NLCD-sampled categories (codes 62-65, 81-91 and 93-199) are not included in the Overall Accuracy. The accuracy of the non-agricultural land cover classes within the Cropland Data Layer is entirely dependent upon the USGS, National Land Cover Database (NLCD 2011). Thus, the USDA, NASS recommends that users consider the NLCD for studies involving non-agricultural land cover. For more information on the accuracy of the NLCD please reference <http://www.mrlc.gov/>.



Quantitative test results
Value Classification accuracy is generally 85% to 95% correct for the major crop-specific land cover categories. See the 'Attribute Accuracy Report' section of this metadata file for the detailed accuracy report.


Evaluation method
The strength and emphasis of the CDL is crop-specific land cover categories. The accuracy of the CDL non-agricultural land cover classes is entirely dependent upon the USGS, National Land Cover Database (NLCD 2011). Thus, the USDA, NASS recommends that users consider the NLCD for studies involving non-agricultural land cover. These definitions of accuracy statistics were derived from the following book: Congalton, Russell G. and Kass Green. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Boca Raton, Florida: CRC Press, Inc. 1999. The 'Producer's Accuracy' is calculated for each cover type in the ground truth and indicates the probability that a ground truth pixel will be correctly mapped (across all cover types) and measures 'errors of omission'. An 'Omission Error' occurs when a pixel is excluded from the category to which it belongs in the validation dataset. The 'User's Accuracy' indicates the probability that a pixel from the CDL classification actually matches the ground truth data and measures 'errors of commission'. The 'Commission Error' represent when a pixel is included in an incorrect category according to the validation data. It is important to take into consideration errors of omission and commission. For example, if you classify every pixel in a scene to 'wheat', then you have 100% Producer's Accuracy for the wheat category and 0% Omission Error. However, you would also have a very high error of commission as all other crop types would be included in the incorrect category. The 'Kappa' is a measure of agreement based on the difference between the actual agreement in the error matrix (i.e., the agreement between the remotely sensed classification and the reference data as indicated by the major diagonal) and the chance agreement which is indicated by the row and column totals. The 'Conditional Kappa Coefficient' is the agreement for an individual category within the entire error matrix.





Data quality report - Absolute external positional accuracy
Dimension horizontal


Measure description
The Cropland Data Layer retains the spatial attributes of the input imagery. The Landsat 8 OLI/TIRS imagery was obtained via download from the USGS Global Visualization Viewer (Glovis) website <http://glovis.usgs.gov/>. Please reference the metadata on the Glovis website for each Landsat scene for positional accuracy. The majority of the Landsat data is available at Level 1T (precision and terrain corrected). The DEIMOS-1 and DMC-UK 2 imagery used in the production of the Cropland Data Layer is orthorectified to a radial root mean square error (RMSE) of approximately 10 meters.





Lineage 

Process step
When the process occurred 2015-01-01
Description
OVERVIEW: The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL) Program is a unique agricultural-specific land cover geospatial product that is produced annually in participating states. The CDL Program builds upon NASS' traditional crop acreage estimation program and integrates Farm Service Agency (FSA) grower-reported field data with satellite imagery to create an unbiased statistical estimator of crop area at the state and county level for internal use. It is important to note that the internal acreage estimates produced using the CDL are not simple pixel counting. It is more of an 'Adjusted Census by Satellite.' SOFTWARE: ERDAS Imagine is used in the pre- and post- processing of all raster-based data. ESRI ArcGIS is used to prepare the vector-based training and validation data. Rulequest See5.0 is used to create a decision tree based classifier. The NLCD Mapping Tool is used to apply the See5.0 decision-tree via ERDAS Imagine. DECISION TREE CLASSIFIER: This Cropland Data Layer used the decision tree classifier approach. Using a decision tree classifier is a departure from older versions of the CDL which were created using in-house software (Peditor) based upon a maximum likelihood classifier approach. Decision trees offer several advantages over the more traditional maximum likelihood classification method. The advantages include being: 1) non-parametric by nature and thus not reliant on the assumption of the input data being normally distributed, 2) efficient to construct and thus capable of handling large and complex data sets, 3) able to incorporate missing and non-continuous data, and 4) able to sort out non-linear relationships. GROUND TRUTH: As with the maximum likelihood method, decision tree analysis is a supervised classification technique. Thus, it relies on having a sample of known ground truth areas in which to train the classifier. Older versions of the CDL (prior to 2006) utilized ground truth data from the annual June Agricultural Survey (JAS). Beginning in 2006, the CDL utilizes the very comprehensive ground truth data provided from the FSA Common Land Unit (CLU) Program as a replacement for the JAS data. The FSA CLU data have the advantage of natively being in a GIS and containing magnitudes more of field level information. Disadvantages include that it is not truly a probability sample of land cover and has bias toward subsidized program crops. Additional information about the FSA data can be found at <http://www.fsa.usda.gov/>. The most current version of the NLCD is used as non-agricultural training and validation data. INPUTS: The CDL is produced using satellite imagery from the Landsat 8 OLI/TIRS sensor and the Disaster Monitoring Constellation (DMC) DEIMOS-1 and UK2 sensors collected during the current growing season. The DEIMOS-1 and UK-DMC 2 imagery was resampled to 30 meters using cubic convolution, rigorous transformation to match the traditional Landsat spatial resolution. Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED) and the imperviousness and canopy data layers from the USGS National Land Cover Database 2011 (NLCD 2011). Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery and ancillary data used to generate this state's CDL. ACCURACY: The accuracy of the land cover classifications are evaluated using independent validations data sets generated from the FSA CLU data (agricultural categories) and the NLCD 2011 (non-agricultural categories). The Producer's Accuracy is generally 85% to 95% correct for the major crop-specific land cover categories. See the 'Attribute Accuracy Report' section of this metadata file for the full accuracy report. PUBLIC RELEASE: The USDA, NASS Cropland Data Layer is considered public domain and free to redistribute. The official website is <http://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>. The data is available free for download through CropScape <http://nassgeodata.gmu.edu/CropScape/> and the Geospatial Data Gateway <http://datagateway.nrcs.usda.gov/>. See the 'Ordering Instructions' section of this metadata file for detailed download instructions. Please note that in no case are farmer reported data revealed or derivable from the public use Cropland Data Layer.



Process contact
Individual's name USDA, NASS, Spatial Analysis Research Section staff
Organization's name USDA, NASS, Spatial Analysis Research Section
Contact's role  processor


Contact information
Phone
Voice 703-877-8000
Fax 703-877-8044

Address
Type both
Delivery point 3251 Old Lee Highway, Room 305
City Fairfax
Administrative area Virginia
Postal code 22030-1504
Country US
e-mail addressHQ_RDD_GIB@nass.usda.gov





Source data
Description
Raw data used in land cover spectral signature analysis



Source medium name  online link
Resolution of the source data
Scale denominator 0

Source citation
Title National Land Cover Database 2011 (NLCD 2011)
Alternate titles  NLCD
Publication date 2014-01-01


Presentation formats  digital map
FGDC geospatial presentation format  remote-sensing image


Other citation details
The NLCD 2011 was used as ground training and validation for non-agricultural categories. Additionally, the USGS NLCD 2011 Imperviousness and Tree Canopy layers were used as ancillary data sources in the Cropland Data Layer classification process. More information on the NLCD 2011 can be found at <http://www.mrlc.gov/>. Refer to the 'Supplemental Information' Section of this metadata file for the complete list of ancillary data sources used as classification inputs. Preferred NLCD2006 citation: "Fry, J., Xian, G., Jin, S., Dewitz, J., Homer, C., Yang, L., Barnes, C., Herold, N., and Wickham, J., 2012. Completion of the 2006 National Land Cover Database for the Conterminous United States, PE&RS, Vol. 77(9):858-864."



Responsible party
Organization's name USGS, EROS Data Center
Contact's role  publisher


Contact information
Address
Delivery point Sioux Falls, South Dakota 57198 USA



Responsible party
Organization's name United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Contact's role  originator




Extent of the source data
Description
ground condition

Temporal extent
Date and time
Indeterminate date unknown



Source data
Description
spatial and attribute information used in the spectral signature training and validation of agricultural land cover



Source medium name  online link
Resolution of the source data
Scale denominator 4800

Source citation
Title USDA, FSA Common Land Unit (CLU)
Alternate titles  FSA CLU
Publication date 2015-01-01


Presentation formats  digital map
FGDC geospatial presentation format  vector digital data


Other citation details
Access to the USDA, Farm Service Agency (FSA) Common Land Unit (CLU) digital data set is currently limited to FSA and Agency partnerships. During the current growing season, producers enrolled in FSA programs report their growing intentions, crops and acreage to USDA Field Service Centers. Their field boundaries are digitized in a standardized GIS data layer and the associated attribute information is maintained in a database known as 578 Administrative Data. This CLU/578 dataset provides a comprehensive and robust agricultural training and validation data set for the Cropland Data Layer. Additional information about the CLU Program can be found at <http://www.fsa.usda.gov/>.



Responsible party
Organization's name United States Department of Agriculture (USDA), Farm Service Agency (FSA)
Contact's role  originator


Responsible party
Organization's name USDA, FSA Aerial Photography Field Office
Contact's role  publisher


Contact information
Address
Delivery point Salt Lake City, Utah 84119-2020 USA





Extent of the source data
Description
ground condition, updated annually

Temporal extent
Date and time
Indeterminate date unknown



Source data
Description
spatial and attribute information used in land cover spectral signature analysis



Source medium name  online link
Resolution of the source data
Scale denominator 0

Source citation
Title The National Elevation Dataset (NED)
Alternate titles  NED
Publication date 2009-01-01


Presentation formats  digital map
FGDC geospatial presentation format  remote-sensing image


Other citation details
The USGS NED Digital Elevation Model (DEM) is used as an ancillary data source in the production of the Cropland Data Layer. More information on the USGS NED can be found at <http://ned.usgs.gov/>. Refer to the 'Supplemental Information' Section of this metadata file for the complete list of ancillary data sources used as classification inputs.



Responsible party
Organization's name United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Contact's role  originator


Responsible party
Organization's name USGS, EROS Data Center
Contact's role  publisher


Contact information
Address
Delivery point Sioux Falls, South Dakota 57198 USA





Extent of the source data
Description
ground condition

Temporal extent
Date and time
Indeterminate date unknown



Source data
Description
Raw data used in land cover spectral signature analysis



Source medium name  online link
Resolution of the source data
Scale denominator 0

Source citation
Title Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS)
Alternate titles  Landsat 8
Publication date 2015-01-01


Presentation formats  digital map
FGDC geospatial presentation format  remote-sensing image


Other citation details
The Landsat 8 OLI/TIRS data are free for download through the following website <http://glovis.usgs.gov/>. Additional information about Landsat data can be obtained at <http://eros.usgs.gov/>. Refer to the 'Supplemental Information' Section of this metadata file for specific scene date, path and rows used as classification inputs.



Responsible party
Organization's name USGS, EROS
Contact's role  publisher


Contact information
Address
Delivery point Sioux Falls, South Dakota 57198-001



Responsible party
Organization's name United States Geological Survey (USGS), Earth Resources Observation and Science (EROS)
Contact's role  originator




Extent of the source data
Description
ground condition

Temporal extent
Beginning date 2014-10-01
Ending date 2015-12-31



Source data
Description
Raw data used in land cover spectral signature analysis



Source medium name  online link
Resolution of the source data
Scale denominator 0

Source citation
Title DEIMOS-1
Alternate titles  Deimos-1
Publication date 2015-01-01


Presentation formats  digital map
FGDC geospatial presentation format  remote-sensing image


Other citation details
The DEIMOS-1 satellite sensor operates in three spectral bands at a spatial resolution of 22 meters. Additional information about DEIMOS-1 data can be obtained at <http://www.deimos-imaging.com/>. Refer to the 'Supplemental Information' Section of this metadata file for specific scene date, path, row and quadrants used as classification inputs. The DEIMOS-1 imagery was resampled to 30 meters to match the Landsat spatial resolution. The resample used cubic convolution, rigorous transformation.



Responsible party
Organization's name Astrium GEO Information Services
Contact's role  publisher


Contact information
Address
Delivery point Elecnor Deimos Imaging, Valladolid, Spain



Responsible party
Organization's name Elecnor Deimos Imaging
Contact's role  originator




Extent of the source data
Description
ground condition

Temporal extent
Beginning date 2014-10-01
Ending date 2015-12-31



Source data
Description
Raw data used in land cover spectral signature analysis



Source medium name  online link
Resolution of the source data
Scale denominator 0

Source citation
Title UK-DMC 2
Alternate titles  UK-DMC 2
Publication date 2015-01-01


Presentation formats  digital map
FGDC geospatial presentation format  remote-sensing image


Other citation details
The UK-DMC 2 satellite sensor operates in three spectral bands at a spatial resolution of 22 meters. Additional information about UK-DMC 2 data can be obtained at <http://www.dmcii.com/>. Refer to the 'Supplemental Information' Section of this metadata file for specific scene date, path, row and quadrants used as classification inputs. The UK-DMC 2 imagery was resampled to 30 meters to match the Landsat spatial resolution. The resample used cubic convolution, rigorous transformation.



Responsible party
Organization's name DMC International Imaging
Contact's role  originator


Responsible party
Organization's name Astrium GEO Information Services
Contact's role  publisher


Contact information
Address
Delivery point DMC International Imaging, Guildford, Surrey UK





Extent of the source data
Description
ground condition

Temporal extent
Beginning date 2014-10-01
Ending date 2015-12-31



Distribution 

Distributor
Contact information
Individual's name USDA, NASS Customer Service Staff
Organization's name USDA, NASS Customer Service
Contact's role  distributor


Contact information
Phone
Voice 800-727-9540
Fax 703-877-8044

Address
Type both
Delivery point 1400 Independence Avenue, SW, Room 5038-S
City Washington
Administrative area District of Columbia
Postal code 20250-9410
Country US
e-mail addressHQ_RDD_GIB@nass.usda.gov

Contact instructions
Please visit the official website <http://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php> for distribution details. The Cropland Data Layer is available free for download at <http://nassgeodata.gmu.edu/CropScape/> and <http://datagateway.nrcs.usda.gov/>. Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540.



Available format
Name GEOTIFF
Version 20150101
Format information content GEOTIFF
Technical prerequisites If the user does not have software capable of viewing GEOTIF (.tif) or ERDAS Imagine (.img) file formats then we suggest using the CropScape website <http://nassgeodata.gmu.edu/CropScape/> or using the freeware browser ESRI ArcGIS Explorer <http://www.esri.com/>.


Ordering process
Terms and fees Please visit the official website <http://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php> for distribution details. The Cropland Data Layer is available free for download at <http://nassgeodata.gmu.edu/CropScape/> and <http://datagateway.nrcs.usda.gov/>. Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540.
Instructions
The CDL is available online and free for download from the CropScape website <http://nassgeodata.gmu.edu/CropScape/>. The Cropland Data Layer is also available free for download from the NRCS Geospatial Data Gateway at <http://datagateway.nrcs.usda.gov/>. IMPORTANT NOTE: When downloading the CDL using the NRCS Geospatial Data Gateway all available years of CDL production for the requested state are included in a single compressed file. >Instructions for downloading from the NRCS Geospatial Data Gateway: > >Start by clicking on 'Get Data' > >Select a state from the dropdown menu > >Select any county and then click 'Submit Selected Counties' > >Choose 'Land Use Land Cover' and select 'Cropland Data Layer by State' and 'Continue' > >Choose 'FTP' and then 'Continue' > >Fill out the required user information and then you are given the option to download the data for free.


Transfer options
Online source
Location <http://nassgeodata.gmu.edu/CropScape/>
Description  The CDL is available online and free for download from the CropScape website <http://nassgeodata.gmu.edu/CropScape/>. It is also available free for download from the Geospatial Data Gateway website <http://datagateway.nrcs.usda.gov/>. See the 'Ordering Instructions' section of this metadata file for detailed Geospatial Data Gateway download instructions.

Transfer options
Online source
Description  Cropland Data Layer - North Dakota 2015



Distribution format
*Name SDE Raster Dataset


Transfer options
Online source
Location <http://nassgeodata.gmu.edu/CropScape/ND>

Fields 

Details for object NDHUB.SDE_VAT_146 
*Type Table
*Row count 45


Field OBJECTID
 
*Alias OBJECTID
*Data type OID
*Width 4
*Precision 10
*Scale 0
*Field description
Internal feature number.

*Description source
Esri

*Description of values
Sequential unique whole numbers that are automatically generated.





Field VALUE
 
*Alias VALUE
*Data type Integer
*Width 4
*Precision 10
*Scale 0




Field RED
 
*Alias RED
*Data type Double
*Width 8
*Precision 38
*Scale 8




Field GREEN
 
*Alias GREEN
*Data type Double
*Width 8
*Precision 38
*Scale 8




Field BLUE
 
*Alias BLUE
*Data type Double
*Width 8
*Precision 38
*Scale 8




Field COUNT
 
*Alias COUNT
*Data type Double
*Width 8
*Precision 38
*Scale 8




Field CLASS_NAME
 
*Alias CLASS_NAME
*Data type String
*Width 254
*Precision 0
*Scale 0




Field OPACITY
 
*Alias OPACITY
*Data type Double
*Width 8
*Precision 38
*Scale 8






Overview Description
Entity and Attribute Overview
The Cropland Data Layer (CDL) is produced using agricultural training data from the Farm Service Agency (FSA) Common Land Unit (CLU) Program and non-agricultural training data from the most current version of the United States Geological Survey (USGS) National Land Cover Database (NLCD). The strength and emphasis of the CDL is crop-specific land cover categories. The accuracy of the CDL non-agricultural land cover classes are entirely dependent upon the NLCD. Thus, the USDA, NASS recommends that users consider the NLCD for studies involving non-agricultural land cover.



Entity and Attribute Detail Citation
If the following table does not display properly, then please visit the following website to view the original metadata file <http://www.nass.usda.gov/Research_and_Science/Cropland/metadata/meta.php>. > ***NOTE: The 1997-2013 CDLs were recoded and re-released in January 2014 to better represent pasture and grass-related categories. A new > category named Grass/Pasture (code 176) collapses the following historical CDL categories: Pasture/Grass (code 62), Grassland Herbaceous > (code 171), and Pasture/Hay (code 181). This was done to eliminate confusion among these similar land cover types which were not always > classified definitionally consistent from state to state or year to year and frequently had poor classification accuracies. This follows > the recoding of the entire CDL archive in January 2012 to better align the historical CDLs with the current product. For a detailed list > of the category name and code changes, please visit the Frequently Asked Questions (FAQ's) section at <http://www.nass.usda.gov/Research_and_Science/Cropland/sarsfaqs2.php>. > > > Data Dictionary: USDA, National Agricultural Statistics Service, 2015 Cropland Data Layer > > Source: USDA, National Agricultural Statistics Service > > The following is a cross reference list of the categorization codes and land covers. > Note that not all land cover categories listed below will appear in an individual state. > > Raster > Attribute Domain Values and Definitions: NO DATA, BACKGROUND 0 > > Categorization Code Land Cover > "0" Background > > Raster > Attribute Domain Values and Definitions: CROPS 1-20 > > Categorization Code Land Cover > "1" Corn > "2" Cotton > "3" Rice > "4" Sorghum > "5" Soybeans > "6" Sunflower > "10" Peanuts > "11" Tobacco > "12" Sweet Corn > "13" Pop or Orn Corn > "14" Mint > > Raster > Attribute Domain Values and Definitions: GRAINS,HAY,SEEDS 21-40 > > Categorization Code Land Cover > "21" Barley > "22" Durum Wheat > "23" Spring Wheat > "24" Winter Wheat > "25" Other Small Grains > "26" Dbl Crop WinWht/Soybeans > "27" Rye > "28" Oats > "29" Millet > "30" Speltz > "31" Canola > "32" Flaxseed > "33" Safflower > "34" Rape Seed > "35" Mustard > "36" Alfalfa > "37" Other Hay/Non Alfalfa > "38" Camelina > "39" Buckwheat > > Raster > Attribute Domain Values and Definitions: CROPS 41-60 > > Categorization Code Land Cover > "41" Sugarbeets > "42" Dry Beans > "43" Potatoes > "44" Other Crops > "45" Sugarcane > "46" Sweet Potatoes > "47" Misc Vegs & Fruits > "48" Watermelons > "49" Onions > "50" Cucumbers > "51" Chick Peas > "52" Lentils > "53" Peas > "54" Tomatoes > "55" Caneberries > "56" Hops > "57" Herbs > "58" Clover/Wildflowers > "59" Sod/Grass Seed > "60" Switchgrass > > Raster > Attribute Domain Values and Definitions: NON-CROP 61-65 > > Categorization Code Land Cover > "61" Fallow/Idle Cropland > "63" Forest > "64" Shrubland > "65" Barren > > Raster > Attribute Domain Values and Definitions: CROPS 66-80 > > Categorization Code Land Cover > "66" Cherries > "67" Peaches > "68" Apples > "69" Grapes > "70" Christmas Trees > "71" Other Tree Crops > "72" Citrus > "74" Pecans > "75" Almonds > "76" Walnuts > "77" Pears > > Raster > Attribute Domain Values and Definitions: OTHER 81-109 > > Categorization Code Land Cover > "81" Clouds/No Data > "82" Developed > "83" Water > "87" Wetlands > "88" Nonag/Undefined > "92" Aquaculture > > Raster > Attribute Domain Values and Definitions: NLCD-DERIVED CLASSES 110-195 > > Categorization Code Land Cover > "111" Open Water > "112" Perennial Ice/Snow > "121" Developed/Open Space > "122" Developed/Low Intensity > "123" Developed/Med Intensity > "124" Developed/High Intensity > "131" Barren > "141" Deciduous Forest > "142" Evergreen Forest > "143" Mixed Forest > "152" Shrubland > "176" Grassland/Pasture > "190" Woody Wetlands > "195" Herbaceous Wetlands > > Raster > Attribute Domain Values and Definitions: CROPS 195-255 > > Categorization Code Land Cover > "204" Pistachios > "205" Triticale > "206" Carrots > "207" Asparagus > "208" Garlic > "209" Cantaloupes > "210" Prunes > "211" Olives > "212" Oranges > "213" Honeydew Melons > "214" Broccoli > "216" Peppers > "217" Pomegranates > "218" Nectarines > "219" Greens > "220" Plums > "221" Strawberries > "222" Squash > "223" Apricots > "224" Vetch > "225" Dbl Crop WinWht/Corn > "226" Dbl Crop Oats/Corn > "227" Lettuce > "229" Pumpkins > "230" Dbl Crop Lettuce/Durum Wht > "231" Dbl Crop Lettuce/Cantaloupe > "232" Dbl Crop Lettuce/Cotton > "233" Dbl Crop Lettuce/Barley > "234" Dbl Crop Durum Wht/Sorghum > "235" Dbl Crop Barley/Sorghum > "236" Dbl Crop WinWht/Sorghum > "237" Dbl Crop Barley/Corn > "238" Dbl Crop WinWht/Cotton > "239" Dbl Crop Soybeans/Cotton > "240" Dbl Crop Soybeans/Oats > "241" Dbl Crop Corn/Soybeans > "242" Blueberries > "243" Cabbage > "244" Cauliflower > "245" Celery > "246" Radishes > "247" Turnips > "248" Eggplants > "249" Gourds > "250" Cranberries > "254" Dbl Crop Barley/Soybeans





Metadata Details 

Metadata language English (UNITED STATES)
Metadata character set  utf8 - 8 bit UCS Transfer Format


Scope of the data described by the metadata  dataset
Scope name* dataset


*Last update 2016-04-14


ArcGIS metadata properties
Metadata format ArcGIS 1.0


Created in ArcGIS for the item 2016-03-01 18:25:24
Last modified in ArcGIS for the item 2016-04-14 13:20:58


Automatic updates
Have been performed Yes
Last update 2016-04-14 13:20:58


Metadata Contacts 

Metadata contact
Individual's name USDA, NASS, Spatial Analysis Research Section Staff
Organization's name USDA, NASS, Spatial Analysis Research Section
Contact's role  point of contact


Contact information
Phone
Voice 703-877-8000
Fax 703-877-8044

Address
Type both
Delivery point 3251 Old Lee Highway, Room 305
City Fairfax
Administrative area Virginia
Postal code 22030-1504
Country US
e-mail addressHQ_RDD_GIB@nass.usda.gov



Metadata Constraints 

Legal constraints
Access constraints  other restrictions


Other constraints
No restrictions on the distribution or use of the metadata file

Constraints
Limitations of use
No restrictions on the distribution or use of the metadata file