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Cropland Data Layer, New York, 2010

Identification Information
Citation
Originator
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)
Publication Date
20110110
Title
Cropland Data Layer, New York, 2010
Edition
2010 Edition
Geospatial Data Presentation Form
raster digital data
Series Information
Series Name
USDA-NASS Cropland Data Layer
Issue Identification
New York 2010
Publication Information
Publication Place
USDA, NASS Marketing and Information Services Office, Washington, D.C.
Publisher
USDA, NASS
Other Citation Details
Available on DVD through the official website http://www.nass.usda.gov/research/Cropland/SARS1a.htm. The most current year of data is available free for download for a limited time at the official website http://www.nass.usda.gov/research/Cropland/SARS1a.htm. The data is also available free for download through the CropScape - Cropland Data Layer website 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. 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.
Online Linkage
https://cugir.library.cornell.edu/catalog/cugir-008033
Online Linkage
http://nassgeodata.gmu.edu/CropScape/
Abstract
The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2010 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, and the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) 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), 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. 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.
Purpose
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.
Supplemental Information
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/Cropland/metadata/meta.htm. USDA, National Agricultural Statistics Service 2010 New York Cropland Data Layer CLASSIFICATION INPUTS: AWIFS DATE 20100618 PATH 284 ROW(S)QUADRANT(S) 40ABCD 45CD 50AB AWIFS DATE 20100703 PATH 287 ROW(S)QUADRANT(S) 40BD 41C 45BD 46AC AWIFS DATE 20100704 PATH 292 ROW(S)QUADRANT(S) 40B 41AC 46A AWIFS DATE 20100820 PATH 287 ROW(S)QUADRANT(S) 40BD 45B AWIFS DATE 20100829 PATH 284 ROW(S)QUADRANT(S) 40BD LANDSAT 5 TM DATE 20100413 PATH 015 ROW(S) 29-31 34-37 41-43 LANDSAT 5 TM DATE 20100415 PATH 013 ROW(S) 27-32 LANDSAT 5 TM DATE 20100420 PATH 016 ROW(S) 29-42 LANDSAT 5 TM DATE 20100429 PATH 015 ROW(S) 29-37 41 LANDSAT 5 TM DATE 20100531 PATH 015 ROW(S) 29-37 41-43 LANDSAT 5 TM DATE 20100602 PATH 013 ROW(S) 29-32 LANDSAT 5 TM DATE 20100625 PATH 014 ROW(S) 29-36 LANDSAT 5 TM DATE 20100702 PATH 015 ROW(S) 29-35 37 41-42 LANDSAT 5 TM DATE 20100704 PATH 013 ROW(S) 27-32 LANDSAT 5 TM DATE 20100727 PATH 014 ROW(S) 29-34 36 LANDSAT 5 TM DATE 20100801 PATH 017 ROW(S) 30-32 38-41 LANDSAT 5 TM DATE 20100819 PATH 015 ROW(S) 29-33 36-37 41-43 LANDSAT 5 TM DATE 20100828 PATH 014 ROW(S) 29-36 LANDSAT 5 TM DATE 20100902 PATH 017 ROW(S) 30-41 LANDSAT 5 TM DATE 20100906 PATH 013 ROW(S) 27-32 LANDSAT 7 ETM DATE 20100414 PATH 014 ROW(S) 29-34 LANDSAT 7 ETM DATE 20100419 PATH 017 ROW(S) 30-41 LANDSAT 7 ETM DATE 20100521 PATH 017 ROW(S) 30-33 35-41 LANDSAT 7 ETM DATE 20100530 PATH 016 ROW(S) 29-43 LANDSAT 7 ETM DATE 20100615 PATH 016 ROW(S) 29-31 34-43 LANDSAT 7 ETM DATE 20100703 PATH 014 ROW(S) 29-36 LANDSAT 7 ETM DATE 20100708 PATH 017 ROW(S) 30-41 LANDSAT 7 ETM DATE 20100802 PATH 016 ROW(S) 30-31 34-35 38-41 43 LANDSAT 7 ETM DATE 20100820 PATH 014 ROW(S) 29-36 LANDSAT 7 ETM DATE 20100903 PATH 016 ROW(S) 29-43 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 2010 COMMON LAND UNIT DATA 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.
Temporal Extent
Currentness Reference
2010 growing season
Time Period
Beginning
20090925
End
20101230
Bounding Box
West
-79.974336
East
-70.596893
North
45.838882
South
40.116635
ISO Topic Category
farming
environment
imageryBaseMapsEarthCover
Theme Keyword
Earth Science Biosphere Terrestrial Ecosystems Agricultural Lands
Earth Science Land Surface Land Use/Land Cover Land Cover
Theme Keyword Thesaurus
Global Change Master Directory (GCMD) Science Keywords
Theme Keyword
MODIS Moderate-Resolution Imaging Spectroradiometer
MODIS Moderate-Resolution Imaging Spectroradiometer
Theme Keyword Thesaurus
Global Change Master Directory (GCMD) Instrument Keywords
Theme Keyword
crop cover
cropland
agriculture
land cover
crop estimates
AWiFS
MODIS
Landsat
Cropscape
Theme Keyword Thesaurus
None
Theme Keyword
agriculture
environment
landcover
Theme Keyword Thesaurus
CUGIR Category
Place Keyword
New York
Place Keyword Thesaurus
None
Temporal Keyword
2010
Temporal Keyword Thesaurus
None
Access Restrictions
None
Use Restrictions
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/.
Status
Complete
Maintenance and Update Frequency
None planned
Point of Contact
Contact Organization
USDA, NASS, Spatial Analysis Research Section
Delivery Point
3251 Old Lee Highway, Room 305
City
Fairfax
State
Virginia
Postal Code
22030-1504
Country
USA
Contact Telephone
703-877-8000
Contact Facsimile Telephone
703-877-8044
Contact Electronic Mail Address
HQ_RDD_GIB@nass.usda.gov
Credit
USDA, National Agricultural Statistics Service
Native Data Set Environment
Microsoft Windows XP; ERDAS Imagine Versions 9.1, 9.2 and 9.3 http://www.erdas.com/; ESRI ArcGIS Version 9.3 http://www.esri.com/; Rulequest See5.0 Release 2.07 http://www.rulequest.com/; NLCD Mapping Tool http://www.mrlc.gov/. ERDAS Imagine is used in the pre- and post- processing of all raster-based data. ESRI ArcGIS is used to prepare the vector-based Farm Service Agency (FSA) Common Land Unit (CLU) 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. This is a departure from older versions of the CDL that were created using in-house software (Peditor) based upon a maximum likelihood classifier approach. Check this section and the 'Process Description' section of the specific state and year metadata file to verify what methodology was used.
Data Quality Information
Attribute Accuracy Report
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, 2010 New York Cropland Data Layer STATEWIDE AGRICULTURAL ACCURACY REPORT Crop-specific covers only *Correct Accuracy Error Kappa ------------------------- ------- -------- ------ ----- OVERALL ACCURACY** 866026 73.87% 26.13% 0.6654 Cover Attribute *Correct Producer's Omission User's Commission Cond'l Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa ---- ---- ------ -------- ----- ----- -------- ----- ----- Corn 1 354275 94.59% 5.41% 0.9307 89.35% 10.65% 0.8657 Sorghum 4 58 7.65% 92.35% 0.0765 54.21% 45.79% 0.5419 Soybeans 5 100468 84.60% 15.40% 0.8356 88.04% 11.96% 0.8720 Sunflower 6 15 4.76% 95.24% 0.0476 27.27% 72.73% 0.2726 Sweet Corn 12 3944 51.73% 48.27% 0.5159 76.72% 23.28% 0.7662 Pop. or Orn. Corn 13 0 0.00% 100.00% 0.0000 n/a n/a n/a Barley 21 280 12.67% 87.33% 0.1263 37.43% 62.57% 0.3736 Spring Wheat 23 43 12.80% 87.20% 0.1279 33.08% 66.92% 0.3306 Winter Wheat 24 26407 85.97% 14.03% 0.8573 85.30% 14.70% 0.8505 Dbl. Crop WinWht/Soy 26 0 0.00% 100.00% 0.0000 n/a n/a n/a Rye 27 606 18.21% 81.79% 0.1816 51.62% 48.38% 0.5153 Oats 28 9123 60.52% 39.48% 0.6025 73.98% 26.02% 0.7377 Millet 29 1 0.67% 99.33% 0.0067 100.00% 0.00% 1.0000 Speltz 30 325 29.52% 70.48% 0.2950 72.38% 27.62% 0.7237 Alfalfa 36 123782 66.65% 33.35% 0.6301 69.67% 30.33% 0.6620 Other Hay 37 226177 75.50% 24.50% 0.6974 65.78% 34.22% 0.5898 Sugarbeets 41 109 20.72% 79.28% 0.2071 48.02% 51.98% 0.4800 Dry Beans 42 5333 50.99% 49.01% 0.5079 70.05% 29.95% 0.6988 Potatoes 43 2537 63.06% 36.94% 0.6299 74.62% 25.38% 0.7456 Other Crops 44 79 6.12% 93.88% 0.0611 41.36% 58.64% 0.4132 Misc. Vegs. Fruits 47 28 12.02% 87.98% 0.1201 44.44% 55.56% 0.4444 Onions 49 900 87.04% 12.96% 0.8703 69.82% 30.18% 0.6980 Peas 53 1882 58.61% 41.39% 0.5855 69.11% 30.89% 0.6906 Tomatoes 54 0 0.00% 100.00% 0.0000 0.00% 100.00% 0.0000 Herbs 57 0 n/a n/a n/a 0.00% 100.00% 0.0000 Clover/Wildflowers 58 992 20.20% 79.80% 0.2013 66.58% 33.42% 0.6649 Sod/Grass Seed 59 743 36.80% 63.20% 0.3676 61.87% 38.13% 0.6182 Switchgrass 60 0 n/a n/a n/a 0.00% 100.00% 0.0000 Fallow/Idle Cropland 61 6223 15.85% 84.15% 0.1507 37.84% 62.16% 0.3646 Pasture/Grass 62 25178 29.69% 70.31% 0.2769 50.31% 49.69% 0.4786 Cherries 66 45 22.50% 77.50% 0.2250 58.44% 41.56% 0.5844 Peaches 67 1 1.18% 98.82% 0.0118 50.00% 50.00% 0.5000 Apples 68 2525 52.47% 47.53% 0.5238 75.24% 24.76% 0.7517 Grapes 69 2254 66.16% 33.84% 0.6611 88.15% 11.85% 0.8813 Christmas Trees 70 30 8.80% 91.20% 0.0880 78.95% 21.05% 0.7894 Other Tree Fruits 73 0 0.00% 100.00% 0.0000 0.00% 100.00% -0.0001 Aquaculture 92 0 0.00% 100.00% 0.0000 n/a n/a n/a Triticale 205 233 17.52% 82.48% 0.1750 56.69% 43.31% 0.5666 Carrots 206 254 67.37% 32.63% 0.6737 62.25% 37.75% 0.6225 Asparagus 207 0 0.00% 100.00% 0.0000 n/a n/a n/a Prunes 210 0 0.00% 100.00% 0.0000 n/a n/a n/a Peppers 216 0 0.00% 100.00% 0.0000 n/a n/a n/a Nectarines 218 0 n/a n/a n/a 0.00% 100.00% 0.0000 Plums 220 0 0.00% 100.00% 0.0000 0.00% 100.00% 0.0000 Strawberries 221 0 0.00% 100.00% 0.0000 0.00% 100.00% 0.0000 Squash 222 91 12.53% 87.47% 0.1253 60.26% 39.74% 0.6025 Vetch 224 0 0.00% 100.00% 0.0000 n/a n/a n/a Dbl. Crop WinWht/Corn 225 2 1.15% 98.85% 0.0115 12.50% 87.50% 0.1249 Lettuce 227 0 0.00% 100.00% 0.0000 n/a n/a n/a Pumpkins 229 49 10.43% 89.57% 0.1042 36.30% 63.70% 0.3628 Blueberries 242 0 0.00% 100.00% 0.0000 0.00% 100.00% 0.0000 Cabbage 243 1067 54.97% 45.03% 0.5493 67.28% 32.72% 0.6724 Cauliflower 244 0 0.00% 100.00% 0.0000 n/a n/a n/a Radishes 246 0 n/a n/a n/a 0.00% 100.00% 0.0000 Eggplants 248 0 0.00% 100.00% 0.0000 n/a n/a n/a Cranberries 250 0 0.00% 100.00% 0.0000 0.00% 100.00% 0.0000 *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 and 200-255). FSA-sampled tree and shrub crops, aquaculture, and all NLCD-sampled categories (codes 62-199) 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 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 Attribute Accuracy Assessment
Logical Consistency Report
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.
Completeness Report
The entire state is covered by the Cropland Data Layer.
Horizontal Positional Accuracy Report
The Cropland Data Layer retains the spatial attributes of the input imagery. The Landsat 5 TM and Landsat 7 ETM 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 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
Source
Originator
Indian Remote-Sensing Satellite series of ISRO (Indian Space Research Organization)
Publication Date
2010 growing season
Title
RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS)
Geospatial Data Presentation Form
remote-sensing image
Publication Information
Publication Place
Washington, D.C. 20008
Publisher
EOTec (Earth Observation Technologies, LLC)
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/. 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. Refer to the 'Supplemental Information' Section of this metadata file for specific scene date, path, row and quadrants used as classification inputs. For the 2010 CDL Program, the AWiFS imagery was resampled to 30 meters to match the Landsat spatial resolution. The resample used bilinear interpolation, polynomial approximation, polynomial order of 3.
Source Scale Denominator
56 meter
Type of Source Media
CD-ROM and/or DVD
Source Temporal Extent
Time Period Information
Range of Dates/Times
Beginning Date
20090925
Ending Date
20101230
Source Currentness Reference
ground condition
Contribution
Raw data used in land cover spectral signature analysis
Source
Originator
United States Geological Survey (USGS), Earth Resources Observation and Science (EROS)
Publication Date
2010 growing season
Title
Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+)
Geospatial Data Presentation Form
remote-sensing image
Publication Information
Publication Place
Sioux Falls, South Dakota 57198-001
Publisher
USGS, EROS
Other Citation Details
The Landsat 5 TM and Landsat 7 ETM+ data is 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.
Source Scale Denominator
30 meter
Type of Source Media
online download
Source Temporal Extent
Time Period Information
Range of Dates/Times
Beginning Date
20091001
Ending Date
20101230
Source Currentness Reference
ground condition
Contribution
Raw data used in land cover spectral signature analysis
Source
Originator
United States Geological Survey (USGS) and National Aeronautics and Space Administration (NASA) Land Processes Distributed Active Archive Center (LP DAAC)
Publication Date
late 2009 growing season and the entire 2010 growing season
Title
Moderate Resolution Imaging Spectroradiometer (MODIS), 250 meter resolution 16-day composite Normalized Difference Vegetation Index (NDVI) from the Terra satellite (MOD13Q1v4)
Geospatial Data Presentation Form
vegetation indices based on remote-sensing imagery
Publication Information
Publication Place
Sioux Falls, South Dakota 57198 USA
Publisher
USGS Center for Earth Resources Observation and Sciences (EROS)
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 https://lpdaac.usgs.gov/. 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.
Source Scale Denominator
250 meter
Type of Source Media
online download
Source Temporal Extent
Time Period Information
Range of Dates/Times
Beginning Date
20091001
Ending Date
20100930
Source Currentness Reference
ground condition
Contribution
NDVI data used in land cover spectral signature analysis
Source
Originator
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Publication Date
Continuously updated
Title
The National Elevation Dataset (NED)
Geospatial Data Presentation Form
remote-sensing image
Publication Information
Publication Place
Sioux Falls, South Dakota 57198 USA
Publisher
USGS, EROS Data Center
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.
Source Scale Denominator
30 meter
Type of Source Media
online
Source Temporal Extent
Time Period Information
Single Date/Time
Calendar Date
unknown
Source Currentness Reference
ground condition
Contribution
spatial and attribute information used in land cover spectral signature analysis
Source
Originator
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Publication Date
2006
Title
National Land Cover Database 2001 (NLCD 2001)
Geospatial Data Presentation Form
remote-sensing image
Publication Information
Publication Place
Sioux Falls, South Dakota 57198 USA
Publisher
USGS, EROS Data Center
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.
Source Scale Denominator
30 meter
Type of Source Media
online
Source Temporal Extent
Time Period Information
Single Date/Time
Calendar Date
unknown
Source Currentness Reference
ground condition
Contribution
spatial and attribute information used in the spectral signature training and validation of non-agricultural land cover
Source
Originator
United States Department of Agriculture (USDA), Farm Service Agency (FSA)
Publication Date
2010
Title
USDA, FSA Common Land Unit (CLU)
Geospatial Data Presentation Form
vector digital data
Publication Information
Publication Place
Salt Lake City, Utah 84119-2020 USA
Publisher
USDA, FSA Aerial Photography Field Office
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/.
Source Scale Denominator
1:4800
Type of Source Media
online
Source Temporal Extent
Time Period Information
Single Date/Time
Calendar Date
unknown
Source Currentness Reference
ground condition, updated annually
Contribution
spatial and attribute information used in the spectral signature training and validation of agricultural land cover
Spatial Data Organization Information
Direct Spatial Reference Method
Raster
Raster Object Information
Raster Object Type
Grid Cell
Row Count
16925
Column Count
22229
Spatial Reference Information
Horizontal Coordinate System Definition
Planar
Grid Coordinate System
Grid Coordinate System Name
Universal Transverse Mercator (UTM)
Universal Transverse Mercator
UTM Zone Number
18 North
Transverse Mercator
Scale Factor at Central Meridian
0.9996
Longitude of Central Meridian
-75
Latitude of Projection Origin
0
False Easting
500000
False Northing
0
Planar Coordinate Information
Planar Coordinate Encoding Method
coordinate pair
Coordinate Representation
Abscissa Resolution
30
Ordinate Resolution
30
Planar Distance Units
meters
Geodetic Model
Horizontal Datum Name
WGS84
Ellipsoid Name
WGS84
Semi-major Axis
6378137.00
Denominator of Flattening Ratio
298.257223563
Entity and Attribute Information
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 the following website to view the original metadata file http://www.nass.usda.gov/research/Cropland/metadata/meta.htm. Data Dictionary: USDA, National Agricultural Statistics Service, 2010 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/Soy "27" Rye "28" Oats "29" Millet "30" Speltz "31" Canola "32" Flaxseed "33" Safflower "34" Rape Seed "35" Mustard "36" Alfalfa "37" Other Hay "38" Camelina 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" Pickles "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 "62" Pasture/Grass "63" Woodland "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 Nuts "72" Citrus "73" Other Tree Fruits "74" Pecans "75" Almonds "76" Walnuts "77" Pears "80" Other Non-Tree Fruit Raster Attribute Domain Values and Definitions: OTHER 81-109 Categorization Code Land Cover "81" Clouds "82" Urban/Developed "83" Water "84" Roads/Railroads "85" Waterways/Ditches "86" Buildings/Residential Areas "87" Wetlands "88" Nonag/Undefined "90" Mixed Water/Crops "91" Mixed Water/Clouds "92" Aquaculture "96" Fallow Sugarcane (FL04 only) "97" Scrub/Shrub Wetlands (FL04 only) "98" Aquatic Beds (FL04 only) "99" Unconsolidated Shore (FL04 only) 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/Medium Intensity "124" Developed/High Intensity "131" Barren "141" Deciduous Forest "142" Evergreen Forest "143" Mixed Forest "152" Shrubland "171" Grassland Herbaceous "181" Pasture/Hay "182" Cultivated Crop "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 "228" Cucumbers "229" Pumpkins "230" Dbl. Crop Lettuce/Durum Wht "231" Dbl. Crop Lettuce/Cantaloupe "232" Dbl. Crop Lettuce/Upland 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
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20190604
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