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)
2009-03-01
USDA-NASS 2008 North Dakota Cropland Data Layer
2008 Edition
remote-sensing image
USDA, NASS Marketing and Information Services Office, Washington, D.C.
USDA, NASS
Available on DVD through the official website <<a href="http://www.nass.usda.gov/research/Cropland/SARS1a.htm">http://www.nass.usda.gov/research/Cropland/SARS1a.htm</a>>. The data is also available free for download through the Geospatial Data Gateway at <<a href="http://datagateway.nrcs.usda.gov/">http://datagateway.nrcs.usda.gov/</a>>. 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 <<a href="http://www.mrlc.gov/">http://www.mrlc.gov/</a>>. 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.
\\GNFBHOSEK\D$\My Documents\FTPGIS\Landclass_NASS_2008.tif
Landclass_NASS_2008.tif
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.
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.
If the following table does not display properly, then please visit this internet site <<a href="http://www.nass.usda.gov/research/Cropland/metadata/meta.htm">http://www.nass.usda.gov/research/Cropland/metadata/meta.htm</a>> to view the original metadata file.
USDA, National Agricultural Statistics Service 2008 North Dakota Cropland Data Layer
CLASSIFICATION INPUTS:
AWIFS DATE 20080511 PATH 260 ROW(S) QUADRANT(S) 35BD 40BD 45BD
AWIFS DATE 20080521 PATH 262 ROW(S) QUADRANT(S) 35B 45B
AWIFS DATE 20080614 PATH 262 ROW(S) QUADRANT(S) 35BD 40BD 45B
AWIFS DATE 20080619 PATH 263 ROW(S) QUADRANT(S) 35BD 45D
AWIFS DATE 20080624 PATH 264 ROW(S) QUADRANT(S) 35BD 40BD 45BD
AWIFS DATE 20080704 PATH 266 ROW(S) QUADRANT(S) 35AB 40BD 45BD
AWIFS DATE 20080709 PATH 267 ROW(S) QUADRANT(S) 35ACD 40ABC
AWIFS DATE 20080713 PATH 263 ROW(S) QUADRANT(S) 35ABCD 40ABD 45B
AWIFS DATE 20080721 PATH 255 ROW(S) QUADRANT(S) 31D 35B
AWIFS DATE 20080731 PATH 257 ROW(S) QUADRANT(S) 35BD 40D 45BD
AWIFS DATE 20080801 PATH 262 ROW(S) QUADRANT(S) 35ABCD 40BD 45B
AWIFS DATE 20080805 PATH 258 ROW(S) QUADRANT(S) 34B 35BD
AWIFS DATE 20080819 PATH 256 ROW(S) QUADRANT(S) 35B
AWIFS DATE 20080820 PATH 261 ROW(S) QUADRANT(S) 35BD 40B
AWIFS DATE 20080824 PATH 257 ROW(S) QUADRANT(S) 35BD 40D
AWIFS DATE 20080825 PATH 262 ROW(S) QUADRANT(S) 35BD 40D
AWIFS DATE 20080829 PATH 258 ROW(S) QUADRANT(S) 34B 35BD
AWIFS DATE 20080830 PATH 263 ROW(S) QUADRANT(S) 35BD 40BD 45B
MODIS 16 DAY NDVI COMPOSITE DATE 20070930
MODIS 16 DAY NDVI COMPOSITE DATE 20071016
MODIS 16 DAY NDVI COMPOSITE DATE 20071101
MODIS 16 DAY NDVI COMPOSITE DATE 20080406
MODIS 16 DAY NDVI COMPOSITE DATE 20080508
MODIS 16 DAY NDVI COMPOSITE DATE 20080609
MODIS 16 DAY NDVI COMPOSITE DATE 20080711
MODIS 16 DAY NDVI COMPOSITE DATE 20080812
USGS, NATIONAL ELEVATION DATASET ELEVATION
USGS, NATIONAL LAND COVER DATASET 2001 TREE CANOPY
USGS, NATIONAL LAND COVER DATASET 2001 IMPERVIOUSNESS
TRAINING AND VALIDATION:
USDA, FARM SERVICE AGENCY 2008 COMMON LAND UNITS
USGS, NATIONAL LAND COVER DATASET 2001
NOTE: The final extent of the CDL is clipped to the state boundary
even though the raw input data may encompass a larger area.
</pre>
en
2008-04-01
2008-09-30
ground condition
None planned
-104.345895
-96.410786
49.110377
45.826368
108960.000000689064.0000005087094.0000005439726.000000
ISO 19115 Topic Category
farming, 001
environment, 007
imageryBaseMapsEarthCover, 010
Global Change Master Directory (GCMD) Science Keywords
Earth Science > Biosphere > Terrestrial Ecosystems > Agricultural Lands
Earth Science > Land Surface > Land Use/Land Cover > Land Cover
Global Change Master Directory (GCMD) Instrument Keywords
AWIFS > Advanced Wide Field Sensor
MODIS > Moderate-Resolution Imaging Spectroradiometer
None
crop cover
cropland
agriculture
land cover
crop estimates
AWiFS
MODIS
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States of America > North Dakota
None
North Dakota
ND
None
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 <<a href="http://www.esri.com/arcreader/">http://www.esri.com/arcreader/</a>> for more information.
USDA, NASS, Spatial Analysis Research Section
USDA, NASS, Spatial Analysis Research Section staff
mailing and physical address
3251 Old Lee Highway, Room 305
Fairfax
Virginia
22030-1504
USA
703-877-8000
703-877-8044
HQ_RD_GIB@nass.usda.gov
USDA, National Agricultural Statistics Service
None
Unclassified
None
Microsoft Windows Vista Version 6.0 (Build 6001) Service Pack 1; ESRI ArcCatalog 9.3.1.1850
Raster Dataset
If the following table does not display properly, then please visit this internet site <<a href="http://www.nass.usda.gov/research/Cropland/metadata/meta.htm">http://www.nass.usda.gov/research/Cropland/metadata/meta.htm</a>> to view the original metadata file.
USDA, National Agricultural Statistics Service, 2008 North Dakota Cropland Data Layer
STATEWIDE AGRICULTURAL ACCURACY REPORT
Crop-specific covers only *Correct Accuracy Error Kappa
------------------------- ------- -------- ------ -----
OVERALL ACCURACY 3169176 83.85% 16.15% 0.8056
Cover Attribute *Correct Producer's Omission User's Commission Cond'l
Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa
---- ---- ------ -------- ----- ----- -------- ----- -----
Corn 1 402966 91.72% 8.28% 0.9095 95.56% 4.44% 0.9514
Sorghum 4 143 8.96% 91.04% 0.0895 51.25% 48.75% 0.5124
Soybeans 5 669915 95.35% 4.65% 0.9460 96.36% 3.64% 0.9576
Sunflowers 6 164832 87.71% 12.29% 0.8725 91.10% 8.90% 0.9076
Barley 21 164293 68.82% 31.18% 0.6757 85.23% 14.77% 0.8449
Durum wheat 22 251588 69.80% 30.20% 0.6765 75.79% 24.21% 0.7391
Spring wheat 23 1073702 89.40% 10.60% 0.8584 85.57% 14.43% 0.8100
Winter wheat 24 61158 61.82% 38.18% 0.6128 88.76% 11.24% 0.8853
Other grains 25 44 8.00% 92.00% 0.0800 84.62% 15.38% 0.8461
Rye 27 500 40.26% 59.74% 0.4025 96.34% 3.66% 0.9634
Oats 28 2126 8.12% 91.88% 0.0804 50.82% 49.18% 0.5057
Millet 29 259 6.92% 93.08% 0.0691 38.77% 61.23% 0.3873
Canola 31 146242 94.57% 5.43% 0.9440 96.33% 3.67% 0.9622
Flaxseed 32 25320 55.00% 45.00% 0.5473 84.34% 15.66% 0.8420
Safflower 33 707 18.78% 81.22% 0.1876 54.01% 45.99% 0.5398
Mustard 35 2842 33.39% 66.61% 0.3335 84.13% 15.87% 0.8411
Alfalfa 36 25977 41.23% 58.77% 0.4090 91.27% 8.73% 0.9116
Beets 41 9247 93.92% 6.08% 0.9390 95.74% 4.26% 0.9574
Dry beans 42 53201 80.97% 19.03% 0.8074 89.05% 10.95% 0.8890
Potatoes 43 1888 57.51% 42.49% 0.5749 94.35% 5.65% 0.9435
Other crops 44 446 36.32% 63.68% 0.3631 83.21% 16.79% 0.8320
Misc. vegetables 47 0 0.00% 100.00% 0.0000 0.00% 100.00% 0.0000
Lentils 52 13084 70.25% 29.75% 0.7016 88.93% 11.07% 0.8889
Peas 53 85872 87.22% 12.78% 0.8697 92.09% 7.91% 0.9193
Clover / Wildflowers 58 35 3.13% 96.87% 0.0313 56.45% 43.55% 0.5644
Seed / Sod Grass 59 1 0.15% 99.85% 0.0015 11.11% 88.89% 0.1110
Idle / Fallow 61 12788 30.29% 69.71% 0.3006 80.38% 19.62% 0.8021
*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 <<a href="http://www.mrlc.gov/">http://www.mrlc.gov/</a>>.
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.
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 <<a href="http://www.mrlc.gov/">http://www.mrlc.gov/</a>>. 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.
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 <<a href="http://www.fsa.usda.gov/">http://www.fsa.usda.gov/</a>>. More information about the NLCD 2001 can be found at <<a href="http://www.mrlc.gov/">http://www.mrlc.gov/</a>>. The CDL encompasses the entire state unless noted otherwise in the 'Completeness Report' section of this metadata file.
The entire state is covered by the Cropland Data Layer.
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.
60 meter CE90
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.
Indian Remote-Sensing Satellite series of ISRO (Indian Space Research Organization)
2008 growing season
RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS)
remote-sensing image
Dulles, Virginia 20166
GeoEye
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 <<a href="http://www.isro.org/programmes.htm">http://www.isro.org/programmes.htm</a>>. 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.
56 meter
CD-ROM and/or DVD
20080401
20080930
ground condition
Raw data used in land cover spectral signature analysis
United States Geological Survey (USGS) and National Aeronautics and Space Administration (NASA) Land Processes Distributed Active Archive Center (LP DAAC)
late 2007 growing season (used to improve winter wheat identification) and the entire 2008 growing season
Moderate Resolution Imaging Spectroradiometer (MODIS), 250 meter resolution 16-day composite Normalized Difference Vegetation Index (NDVI) from the Terra satellite (MOD13Q1v4)
vegetation indices based on remote-sensing imagery
Sioux Falls, South Dakota 57198 USA
USGS Center for Earth Resources Observation and Sciences (EROS)
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 <<a href="http://edcdaac.usgs.gov/modis/dataproducts.asp">http://edcdaac.usgs.gov/modis/dataproducts.asp</a>>. 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.
250 meter
online download
20071001
20080930
ground condition
NDVI data used in land cover spectral signature analysis
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Continuously updated
The National Elevation Dataset (NED)
remote-sensing image
Sioux Falls, South Dakota 57198 USA
USGS, EROS Data Center
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 <<a href="http://ned.usgs.gov/">http://ned.usgs.gov/</a>>. Refer to the 'Supplemental Information' Section of this metadata file for the complete list of ancillary data sources used as classification inputs.
30 meter
online
unknown
ground condition
spatial and attribute information used in land cover spectral signature analysis
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
2006
National Land Cover Database 2001 (NLCD 2001)
remote-sensing image
Sioux Falls, South Dakota 57198 USA
USGS, EROS Data Center
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 <<a href="http://www.mrlc.gov/">http://www.mrlc.gov/</a>>. Refer to the 'Supplemental Information' Section of this metadata file for the complete list of ancillary data sources used as classification inputs.
30 meter
online
unknown
ground condition
spatial and attribute information used in the spectral signature training and validation of non-agricultural land cover
United States Department of Agriculture (USDA), Farm Service Agency (FSA)
2008
USDA, FSA Common Land Unit (CLU)
vector digital data
Salt Lake City, Utah 84119-2020 USA
USDA, FSA Aerial Photography Field Office
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 <<a href="http://www.fsa.usda.gov/">http://www.fsa.usda.gov/</a>>.
1:4800
online
unknown
ground condition, updated annually
spatial and attribute information used in the spectral signature training and validation of agricultural land cover
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 <<a href="http://www.fsa.usda.gov/">http://www.fsa.usda.gov/</a>>.
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 <<a href="http://www.nass.usda.gov/research/Cropland/SARS1a.htm">http://www.nass.usda.gov/research/Cropland/SARS1a.htm</a>>. The data is also available free for download through the Geospatial Data Gateway at <<a href="http://datagateway.nrcs.usda.gov/">http://datagateway.nrcs.usda.gov/</a>>. 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.
2008-09-30
USDA, NASS, Spatial Analysis Research Section
USDA, NASS, Spatial Analysis Research Section staff
mailing and physical address
3251 Old Lee Highway, Room 305
Fairfax
Virginia
22030-1504
USA
703-877-8000
703-877-8044
HQ_RD_GIB@nass.usda.gov
Metadata imported.C:\Users\bhosek\AppData\Local\Temp\xmlAE6E.tmp2009031618233400
Generally, there is enough cloud-free AWiFS satellite imagery available during the growing season that there will be no cloud cover in the published CDL. Older versions of the CDL (prior to 2006) may contain significant cloud cover due to available imagery and processing limitations which have since been overcome. Reference the attribute information within the specific CDL state and year image file to verify the extent of cloud cover.
North Dakota
Raster
Pixel
6297
10359
56.00000056.00000081Upper LeftTRUENone1pixel codesTIFFTRUE
row and column
56.000000
56.000000
meters
Universal Transverse Mercator140.999600-99.0000000.000000500000.0000000.000000
row and column
56.000000
56.000000
meters
Universal Transverse Mercator140.999600-99.0000000.000000500000.0000000.000000
D_WGS_1984
WGS_1984
6378137.000000
298.257224
D_WGS_1984
WGS_1984
6378137.000000
298.257224
GCS_WGS_1984WGS_1984_UTM_Zone_14N
Explicit elevation coordinate included with horizontal coordinates1.000000
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.
If the following table does not display properly, then please visit this internet site <<a href="http://www.nass.usda.gov/research/Cropland/metadata/meta.htm">http://www.nass.usda.gov/research/Cropland/metadata/meta.htm</a>> to view the original metadata file.
Data Dictionary: USDA, National Agricultural Statistics Service, 2008 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
12 Sweet Corn
13 Popcorn or Ornamental Corn
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
38 Camelina
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
49 Onions
50 Pickles
51 Chick Peas
52 Lentils
53 Peas
56 Hops
57 Herbs
58 Clover/Wildflowers
59 Seed/Sod Grass
Raster
Attribute Domain Values and Definitions: OPEN NON-CROP 61-65
Categorization Code Land Cover
61 Fallow/Idle/Flooded Cropland
62 Grass/Pasture
63 Woodland
64 Shrubland
65 Barren
Raster
Attribute Domain Values and Definitions: TREE CROPS 66-80
Categorization Code Land Cover
66 Cherry Orchards
67 Peaches
68 Apples
69 Grapes
70 Christmas Trees
71 Other Tree Nuts
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
Landclass_NASS_2008.tif.vatTable196OIDOIDOID400Internal feature number.ESRISequential unique whole numbers that are automatically generated.VALUEVALUEInteger990REDREDDouble19188GREENGREENDouble19188BLUEBLUEDouble19188COUNTCOUNTDouble19188CLASS_NAMECLASS_NAMEString3200OPACITYOPACITYDouble19188
USDA, NASS Customer Service
USDA, NASS Customer Service Staff
mailing and physical address
1400 Independence Avenue, SW, Room 5038-S
Washington
District of Columbia
20250-9410
USA
800-727-9540
703-877-8044
HQ_RD_OD@nass.usda.gov
The Cropland Data Layer is available free for download at <<a href="http://datagateway.nrcs.usda.gov/">http://datagateway.nrcs.usda.gov/</a>>.
To order a CD-ROM or DVD fill out the order form at <<a href="http://www.nass.usda.gov/research/Cropland/SARS1a.htm">http://www.nass.usda.gov/research/Cropland/SARS1a.htm</a>> 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.
Cropland Data Layer - North Dakota 2008
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 <<a href="http://www.nass.usda.gov/research/Cropland/SARS1a.htm">http://www.nass.usda.gov/research/Cropland/SARS1a.htm</a>>.
GEOTIFF
North Dakota 2008
GEOTIFF
The image file size will vary depending on the state and completeness of coverage. The CD-ROM and/or DVD obtained through the official website <<a href="http://www.nass.usda.gov/research/Cropland/SARS1a.htm">http://www.nass.usda.gov/research/Cropland/SARS1a.htm</a>> contains data for a single year.
When downloading the data through the Geospatial Data Gateway <<a href="http://datagateway.nrcs.usda.gov/">http://datagateway.nrcs.usda.gov/</a>> all available years of CDL production for the requested state are included in one compressed file. Technical restrictions do not allow us to offer the CDL by individual state/year through the Geospatial Data Gateway. See the 'Ordering Instructions' section of this metadata file for additional information.
0.000
<<a href="http://datagateway.nrcs.usda.gov/">http://datagateway.nrcs.usda.gov/</a>>
See the 'Ordering Instructions' section of this metadata file for detailed download instructions.
CD-ROM or DVD
DOS-COPY
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 <<a href="http://www.nass.usda.gov/research/Cropland/SARS1a.htm">http://www.nass.usda.gov/research/Cropland/SARS1a.htm</a>> 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 <<a href="http://datagateway.nrcs.usda.gov/">http://datagateway.nrcs.usda.gov/</a>>.
To order a CD-ROM or DVD fill out the order form at <<a href="http://www.nass.usda.gov/research/Cropland/SARS1a.htm">http://www.nass.usda.gov/research/Cropland/SARS1a.htm</a>> 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 <<a href="http://datagateway.nrcs.usda.gov/">http://datagateway.nrcs.usda.gov/</a>>.
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.
Allow 1 week for delivery for CD-ROM and/or DVD.
For a list of other states and years of available data please visit: <<a href="http://www.nass.usda.gov/research/Cropland/SARS1a.htm">http://www.nass.usda.gov/research/Cropland/SARS1a.htm</a>>. 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 <<a href="http://datagateway.nrcs.usda.gov/">http://datagateway.nrcs.usda.gov/</a>>.
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 <<a href="http://www.esri.com/arcreader/">http://www.esri.com/arcreader/</a>>.
2009-06-23
USDA, NASS, Spatial Analysis Research Section
USDA, NASS, Spatial Analysis Research Section Staff
mailing and physical address
3251 Old Lee Highway, Room 305
Fairfax
Virginia
22030-1504
USA
703-877-8000
703-877-8044
HQ_RD_GIB@nass.usda.gov
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
No restrictions on the distribution or use of the metadata file
No restrictions on the distribution or use of the metadata file
enlocal timehttp://www.esri.com/metadata/esriprof80.htmlESRI Metadata Profile
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V8TBT+zGY7zCNdrNdq3LbLLZM8+rFOK5DPfRAP/QSM3WFGJxDFWFFOK5SM3WJOXTdqzLfZbF211035956Meter1 Meter = 1 Meter(s)629756Meter1 Meter = 1 Meter(s)