NDHUB.LANDCLASS_NASS_2007

SDE Raster Dataset

Tags
AWiFS, MODIS > Moderate-Resolution Imaging Spectroradiometer, Earth Science > Biosphere > Terrestrial Ecosystems > Agricultural Lands, land cover, North Dakota, Continent > North America > United States of America > North Dakota, Earth Science > Land Surface > Land Use/Land Cover > Land Cover, cropland, crop estimates, crop cover, AWIFS > Advanced Wide Field Sensor, imageryBaseMapsEarthCover, farming, MODIS, environment, ND, agriculture

Description

The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer with a ground resolution of 56 meters. The CDL is produced using satellite imagery from the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. Ancillary classification inputs include: the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Dataset 2001 (NLCD 2001), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2001 is used as non-agricultural training and validation data. 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) or ERDAS Imagine (.img) file formats then we suggest using the freeware browser ESRI ArcReader. Visit their site at http://www.esri.com/arcreader/ for more information.

Scale Range

Metadata 

Topics and Keywords 

Themes or categories of the resource  environment, imageryBaseMapsEarthCover, 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




Theme keywords  imageryBaseMapsEarthCover, farming, environment

Thesaurus
Title ISO 19115 Topic Category





Thesaurus
Title Global Change Master Directory (GCMD) Science




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

Theme keywords  MODIS > Moderate-Resolution Imaging Spectroradiometer, AWIFS > Advanced Wide Field Sensor

Thesaurus
Title Global Change Master Directory (GCMD) Instrument Keywords




Theme keywords  AWiFS, land cover, cropland, crop estimates, crop cover, MODIS, agriculture

Citation 

*Title NDHUB.LANDCLASS_NASS_2007
Publication date 2008-03-06


Edition 2007 Edition


Presentation formats* digital table


Other citation details
Available on DVD through the official website <http://www.nass.usda.gov/research/Cropland/SARS1a.htm>. 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 download instructions. The official DVD contains additional accuracy assessment information that is not available through the Geospatial Data Gateway in the form of an associated confidence layer. The following description of the confidence layer is taken from the document entitled 'MDA_NLCD_User_Guide.doc' which is available free for download with the NLCD Mapping Tool at <http://www.mrlc.gov/>. The Confidence Layer "spatially represents the predicted confidence that is associated with that output pixel, based upon the rule(s) that were used to classify it. This is useful in that the user can see the spatial representation of distribution and magnitude of error or confidence for a given classification... This error layer represents a percent confidence associated with each rule and output categorical, classified value. It is expressed as a percentage of confidence. A value of zero would therefore have a low confidence (always wrong), while a value of 100 would have a very high confidence (always right)." For more information on the use of confidence layers please refer to the following paper: Liu, Weiguo, Sucharita Gopal and Curtis E. Woodcock, 2004. Uncertainty and confidence in land cover classification using a hybrid classifier approach, Photogrammetric Engineering & Remote Sensing, 70(8):963-971. Ultimately, however, the confidence value is not a measure of accuracy for a given pixel but rather a how well it fit within the decision tree ruleset.



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) , 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 10.0.5.4400


Credits
USDA, National Agricultural Statistics Service

*Name NDHUB.LANDCLASS_NASS_2007

Extents 

Extent
Temporal extent
Date and time 2008-03-06

Extent
Description
publication date

Temporal extent
Date and time 2008-03-06

Extent
Geographic extent
Bounding rectangle
Extent type  Extent used for searching
*West longitude -104.444778
*East longitude -96.394309
*North latitude 49.253700
*South latitude 45.695617
*Extent contains the resource Yes

Extent in the item's coordinate system
*West longitude 102840.000000
*East longitude 689720.000000
*South latitude 5072899.000000
*North latitude 5455659.000000
*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_RD_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_RD_OD@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/Cropland/SARS1a.htm>.

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_RD_OD@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/Cropland/SARS1a.htm>.

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) or ERDAS Imagine (.img) file formats then we suggest using the freeware browser ESRI ArcReader. Visit their site at http://www.esri.com/arcreader/ for more information.

Spatial Reference 

ArcGIS coordinate system
*Type Projected
*Geographic coordinate reference GCS_North_American_1983
*Projection NAD_1983_UTM_Zone_14N
*Coordinate reference details
Projected coordinate system
Well-known identifier 26914
X origin -5120900
Y origin -9998100
XY scale 450445547.3910538
XY tolerance 0.001
High precision true
Well-known text PROJCS["NAD_1983_UTM_Zone_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], AUTHORITY["EPSG", 26914]]

Reference system identifier
*Value 26914
*Codespace EPSG
*Version 7.4.1


Spatial Data Properties 

Indirect spatial referencing
North Dakota


Data Quality 

Scope of quality information
Resource level  dataset




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 Dataset 2001 (NLCD 2001). More information about the FSA CLU Program can be found at <http://www.fsa.usda.gov/>. More information about the NLCD 2001 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/Cropland/metadata/meta.htm> to view the original metadata file. USDA, National Agricultural Statistics Service, 2007 North Dakota Cropland Data Layer STATEWIDE AGRICULTURAL ACCURACY REPORT Crop-specific covers only *Correct Accuracy Error Kappa ------------------------- ------- -------- ----- ----- OVERALL ACCURACY 2937646 81.12% 18.88% 0.7727 Cover Attribute *Correct Producer's Omission User's Commission Cond'l Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa ---- ---- ------ -------- ----- ----- -------- ----- ----- Corn 1 378687 88.99% 11.01% 0.8811 92.22% 7.78% 0.9158 Sorghum 4 14 0.83% 99.17% 0.0082 22.95% 77.05% 0.2293 Soybeans 5 479568 92.92% 7.08% 0.9220 93.64% 6.36% 0.9299 Sunflowers 6 145816 84.81% 15.19% 0.8435 88.94% 11.06% 0.8859 Barley 21 125519 60.39% 39.61% 0.5927 82.21% 17.79% 0.8151 Durum Wheat 22 221686 68.87% 31.13% 0.6709 74.14% 25.86% 0.7255 Spring Wheat 23 1092549 88.66% 11.34% 0.8522 84.38% 15.62% 0.7992 Winter Wheat 24 58156 68.81% 31.19% 0.6843 86.27% 13.73% 0.8606 Other Small Grain 25 127 5.50% 94.50% 0.0549 58.26% 41.74% 0.5824 Rye 27 234 10.68% 89.32% 0.1067 62.73% 37.27% 0.6272 Oats 28 4377 11.35% 88.65% 0.1120 49.78% 50.22% 0.4943 Millet 29 87 2.60% 97.40% 0.0259 27.36% 72.64% 0.2731 Canola 31 184644 95.56% 4.44% 0.9541 96.71% 3.29% 0.9659 Flaxseed 32 18276 38.46% 61.54% 0.3820 76.24% 23.76% 0.7603 Safflower 33 1937 26.62% 73.38% 0.2658 64.05% 35.95% 0.6401 Alfalfa 36 26126 37.69% 62.31% 0.3726 68.47% 31.53% 0.6807 Sugarbeets 41 11126 90.27% 9.73% 0.9025 93.16% 6.84% 0.9314 Dry Beans 42 54875 76.20% 23.80% 0.7591 82.07% 17.93% 0.8184 Potatoes 43 2651 43.26% 56.74% 0.4323 94.07% 5.93% 0.9407 Misc Vegs & Fruit 47 3818 52.52% 47.48% 0.5248 89.58% 10.42% 0.8957 Lentils 52 17431 70.80% 29.20% 0.7070 88.78% 11.22% 0.8873 Peas 53 79362 82.51% 17.49% 0.8223 89.57% 10.43% 0.8939 Clover/Wildflowers 58 125 8.36% 91.64% 0.0835 64.10% 35.90% 0.6409 Fallow/Idle Cropland 61 30455 39.15% 60.85% 0.3868 72.04% 27.96% 0.7165 *Correct Pixels represents the total number of independent validation pixels correctly identifed in the error matrix. The above accuracy assessment information is for agricultural land cover classes only. The accuracy of the non-agricultural land cover classes within the Cropland Data Layer is entirely dependent upon the USGS, National Land Cover Dataset (NLCD 2001). 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 Dataset (NLCD 2001). Thus, the USDA, NASS recommends that users consider the NLCD for studies involving non-agricultural land cover. The official DVD contains additional accuracy assessment information that is not available through the Geospatial Data Gateway in the form of an associated confidence layer. The following description of the confidence layer is taken from the document entitled 'MDA_NLCD_User_Guide.doc' which is available free for download with the NLCD Mapping Tool at <http://www.mrlc.gov/>. The Confidence Layer "spatially represents the predicted confidence that is associated with that output pixel, based upon the rule(s) that were used to classify it. This is useful in that the user can see the spatial representation of distribution and magnitude of error or confidence for a given classification... This error layer represents a percent confidence associated with each rule and output categorical, classified value. It is expressed as a percentage of confidence. A value of zero would therefore have a low confidence (always wrong), while a value of 100 would have a very high confidence (always right)." For more information on the use of confidence layers please refer to the following paper: Liu, Weiguo, Sucharita Gopal and Curtis E. Woodcock, 2004. Uncertainty and confidence in land cover classification using a hybrid classifier approach, Photogrammetric Engineering & Remote Sensing, 70(8):963-971. Ultimately, however, the confidence value is not a measure of accuracy for a given pixel but rather a how well it fit within the decision tree ruleset. 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 AWiFS satellite imagery is purchased in an orthorectified and projected format. The Cropland Data Layer retains the spatial attributes of the input AWiFS imagery.



Quantitative test results
Value 60 meter CE90


Evaluation method
The AWiFS imagery used in the production of the Cropland Data Layer is purchased with an orthorectified level of processing. Thus, the CDL will retain the input imagery's positional accuracy of 60 meters at the circular error at the 90 percent confidence level (CE90). CE90 is a standard metric often used for horizontal accuracy in map products and can be interpreted as 90% of well-defined points tested must fall within a certain radial distance.





Lineage 

Process step
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 reproduced 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: Leica Geosystems 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. Check the 'Process Description' section of the specific state and year metadata file to verify the methodology used. 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/>. INPUTS: The CDL is produced using satellite imagery from the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. NASS acquires AWiFS imagery for CDL production states from April 1 through September 30 of the current growing season through a cooperative agreement with the USDA, Foreign Agricultural Service (FAS), International Production Assessment (IPA) unit. Ancillary inputs include; the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Dataset 2001 (NLCD 2001), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. 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 2001 (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. The official DVD contains additional accuracy assessment information that is not available through the Geospatial Data Gateway in the form of an associated confidence layer. See the 'Attribute Accuracy Explanation' Section of this metadata file for more information on the confidence layer. PUBLIC RELEASE: The USDA, NASS Cropland Data Layer is considered public domain and free to redistribute. The data is available on DVD for the cost of reproduction through the official website at <http://www.nass.usda.gov/research/Cropland/SARS1a.htm>. 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 download instructions. Please note that in no case are farmer reported data revealed or derivable from the public use Cropland Data Layer.





Process step
When the process occurred 2008-03-06
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 reproduced 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: Leica Geosystems 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. Check the 'Process Description' section of the specific state and year metadata file to verify the methodology used. 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/>. INPUTS: The CDL is produced using satellite imagery from the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. NASS acquires AWiFS imagery for CDL production states from April 1 through September 30 of the current growing season through a cooperative agreement with the USDA, Foreign Agricultural Service (FAS), International Production Assessment (IPA) unit. Ancillary inputs include; the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Dataset 2001 (NLCD 2001), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. 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 2001 (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. The official DVD contains additional accuracy assessment information that is not available through the Geospatial Data Gateway in the form of an associated confidence layer. See the 'Attribute Accuracy Explanation' Section of this metadata file for more information on the confidence layer. PUBLIC RELEASE: The USDA, NASS Cropland Data Layer is considered public domain and free to redistribute. The data is available on DVD for the cost of reproduction through the official website at <http://www.nass.usda.gov/research/Cropland/SARS1a.htm>. 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 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_RD_GIB@nass.usda.gov





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 0

Source citation
Title USDA, FSA Common Land Unit (CLU)
Publication date 2006-01-01


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 the spectral signature training and validation of non-agricultural land cover



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

Source citation
Title National Land Cover Database 2001 (NLCD 2001)
Publication date 2006-01-01


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


Other citation details
The NLCD 2001 was used as ground training and validation for non-agricultural categories. Additionally, the USGS NLCD 2001 Imperviousness and Tree Canopy layers were used as ancillary data sources in the Cropland Data Layer classification process. More information on the NLCD 2001 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.



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
NDVI data used in land cover spectral signature analysis



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

Source citation
Title Moderate Resolution Imaging Spectroradiometer (MODIS), 250 meter resolution 16-day composite Normalized Difference Vegetation Index (NDVI) from the Terra satellite (MOD13Q1v4)


FGDC geospatial presentation format  vegetation indices based on remote-sensing imagery


Other citation details
The Moderate Resolution Imaging Spectroradiometer (MODIS), 250 meter resolution 16-day composite Normalized Difference Vegetation Index (NDVI) data products from the Terra satellite (MOD13Q1v4) are downloaded from <http://edcdaac.usgs.gov/modis/dataproducts.asp>. Often late-season MODIS NDVI data are used from the previous growing season in an effort to improve winter wheat detection. Refer to the 'Supplemental Information' Section of this metadata file for specific dates used as classification inputs.



Responsible party
Organization's name United States Geological Survey (USGS) and National Aeronautics and Space Administration (NASA) Land Processes Distributed Active Archive Center (LP DAAC)
Contact's role  originator


Responsible party
Organization's name USGS Center for Earth Resources Observation and Sciences (EROS)
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
Beginning date 2006-10-01
Ending date 2007-09-30



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)


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. Slope and Aspect derived from the DEM are also used as additional classification inputs. 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



Resolution of the source data
Scale denominator 0

Source citation
Title RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS)


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


Other citation details
The RESOURCESAT-1 (IRS-P6) AWiFS satellite sensor operates in four spectral bands at a spatial resolution of 56 meters. Additional information about AWiFS data can be obtained at <http://www.isro.org/programmes.htm>. The AWiFS imagery used in the Cropland Data Layer is obtained through a partnership with the USDA, Foreign Agricultural Service, International Production Assessment (IPA) Program. Acquisition begins April 1 and ends September 30 of the current growing season. Refer to the 'Supplemental Information' Section of this metadata file for specific scene date, path, row and quadrants used as classification inputs.



Responsible party
Organization's name Indian Remote-Sensing Satellite series of ISRO (Indian Space Research Organization)
Contact's role  originator


Responsible party
Organization's name GeoEye
Contact's role  publisher


Contact information
Address
Delivery point Dulles, Virginia 20166





Extent of the source data
Description
ground condition

Temporal extent
Beginning date 2007-04-01
Ending date 2007-09-30



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_RD_OD@nass.usda.gov

Contact instructions
The Cropland Data Layer is available free for download at <http://datagateway.nrcs.usda.gov/>. To order a CD-ROM or DVD fill out the order form at <http://www.nass.usda.gov/research/Cropland/SARS1a.htm> and submit it either electronically (invoice will follow with the delivery) or mail the completed form with your check to: USDA/NASS Customer Service, 1400 Independence Avenue, SW, Room 5829-S, Washington DC 20250-9410. Please note 'Cropland Data Layer - (State and Year)' in the 'Memo' of your check. Checks should be made out to 'USDA, NASS'. Allow 1 week for delivery.



Available format
Name GEOTIFF
Version
Format information content GEOTIFF


Ordering process
Terms and fees The USDA, NASS charges a nominal fee to cover the cost of CD-ROM and DVD production and shipping costs. Please visit the official website <http://www.nass.usda.gov/research/Cropland/SARS1a.htm> for prices. Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540. The Cropland Data Layer is also available free for download at <http://datagateway.nrcs.usda.gov/>.
Turnaround time
Allow 1 week for delivery for CD-ROM and/or DVD.

Instructions
To order a CD-ROM or DVD fill out the order form at <http://www.nass.usda.gov/research/Cropland/SARS1a.htm> and submit it either electronically (invoice will follow with the delivery) or mail the completed form with your check to: USDA, NASS Customer Service, 1400 Independence Avenue, SW, Room 5829-S, Washington DC 20250-9410. Please note 'Cropland Data Layer - (State and Year)' in the 'Memo' part of your check. Checks should be made out to 'USDA, NASS'. Allow 1 week for delivery. Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540. 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. Geospatial Data Gateway technical restrictions do not allow us to offer the CDL by individual state/year. We are working on offering this option in the future. Instructions for downloading from the NRCS Geospatial Data Gateway: Start by clicking on 'Get Data' Then click on 'Quick State' Scroll down to choose your state and click 'Continue' Choose 'Land_use_land_cover' and select 'Cropland Data Layer by State' and 'Continue to Step3' Choose 'Continue' to Step4 Lastly, you are given the option to download the data for free or to order the official DVD/CD for the cost of the reproduction.


Transfer options
Online source
Location <http://datagateway.nrcs.usda.gov/>

Transfer options
Medium of distribution
Transfer options
Online source
Description  Cropland Data Layer - North Dakota 2007



Distribution format
*Name SDE Raster Dataset


Fields 

Details for object NDHUB.SDE_VAT_41 
*Type Table
*Row count 196


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 9
*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 32
*Precision 0
*Scale 0




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






Fields 

Details for object NDHUB.SDE_VAT_41 
*Type Table
*Row count 196


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 9
*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 32
*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 United States Geological Survey
(USGS) National Land Cover Dataset 2001 (NLCD 2001). 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 this
internet site
<http://www.nass.usda.gov/research/Cropland/metadata/meta.htm> to view the
original metadata file.

Data Dictionary: USDA, National Agricultural Statistics Service, 2007 North Dakota 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: ROW CROPS 1-20

Categorization Code   Land Cover
"1"           Corn
"2"           Cotton
"3"           Rice
"4"           Sorghum
"5"           Soybeans
"6"           Sunflowers
"10"          Peanuts
"11"          Tobacco

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"          Winter Wheat/Soybeans Double-Cropped
"27"          Rye
"28"          Oats
"29"          Millet
"30"          Speltz
"31"          Canola
"32"          Flaxseed
"33"          Safflower
"34"          Rape seed
"35"          Mustard
"36"          Alfalfa
"37"          Other Hays

Raster
Attribute Domain Values and Definitions: OTHER CROPS 41-60

Categorization Code   Land Cover
"41"          Sugarbeets
"42"          Dry Beans
"43"          Potatoes
"44"          Other Crops
"45"          Sugarcane
"46"          Sweet Potatoes
"47"          Miscellaneous Vegetables & Fruit
"48"          Watermelon
"50"          Pickles
"51"          Chick Peas
"52"          Lentils
"53"          Peas
"58"          Clover/Wildflowers

Raster
Attribute Domain Values and Definitions: OPEN NON-CROP 61-65

Categorization Code   Land Cover
"61"          Fallow/Idle Cropland
"62"          Grass/Pasture/Non-agricultural
"63"          Woodland
"64"          Shrubland
"65"          Barren

Raster
Attribute Domain Values and Definitions: TREE CROPS 66-80

Categorization Code   Land Cover
"67"          Peaches
"68"          Apples
"69"          Grapes
"70"          Christmas Trees
"71"          Other Tree Nuts & Fruit
"72"          Citrus
"73"          Other Tree Fruit
"80"          Other Non-Tree Fruit

Raster
Attribute Domain Values and Definitions: OTHER NON-CROP 81-99

Categorization Code   Land Cover
"81"          Clouds
"82"          Urban/Developed
"83"          Water
"87"          Wetlands
"92"          Aquaculture

Raster
Attribute Domain Values and Definitions: NLCD-DERIVED NON-CROP 100-195

Categorization Code   Land Cover
"111"          NLCD - Open Water
"112"          NLCD - Perennial Ice, Snow
"121"          NLCD - Developed/Open Space
"122"          NLCD - Developed/Low Intensity
"123"          NLCD - Developed/Medium Intensity
"124"          NLCD - Developed/High Intensity
"131"          NLCD - Barren
"141"          NLCD - Deciduous Forest
"142"          NLCD - Evergreen Forest
"143"          NLCD - Mixed Forest
"152"          NLCD - Shrubland
"171"          NLCD - Grassland Herbaceous
"181"          NLCD - Pasture/Hay
"182"          NLCD - Cultivated Crop
"190"          NLCD - Woody Wetlands
"195"          NLCD - Herbaceous Wetlands





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 2013-09-26


ArcGIS metadata properties
Metadata format ArcGIS 1.0


Created in ArcGIS for the item 2008-11-20 11:05:09
Last modified in ArcGIS for the item 2013-09-26 11:24:37


Automatic updates
Have been performed Yes
Last update 2013-09-26 11:24:37


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_RD_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 Generated by mp version 2.9.6 on Mon Mar 03 16:11:57 2008