USDA, National Agricultural Statistics Service, Cropland Data Layers for Wyoming
Dataset Identification:
Resource Abstract:
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. Some Cropland Data Layer states used Landsat 5 TM and/or
Landsat 7 ETM+ satellite imagery to supplement the classification. 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.
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.Other sections: Spatial Data
Organization: Indirect_Spatial_Reference_Method: WyomingDirect_Spatial_Reference_Method: Raster Raster_Object_Information:
Raster_Object_Type:Pixel Row_Count:8257 Column_Count:10506Spatial_Reference_Information: Horizontal_Coordinate_System_Definition:
Planar: Map_Projection: Map_Projection_Name:Albers Conical Equal AreaAlbers_Conical_Equal_Area: Albers Conical Equal Area
Standard_Parallel: 29.500000 Standard_Parallel: 45.500000 Longitude_of_Central_Meridian: -96.000000 Latitude_of_Projection_Origin:
23.000000 False_Easting: 0.000000 False_Northing: 0.000000Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method:
row and columnCoordinate_Representation: Abscissa_Resolution:56Ordinate_Resolution: 56Planar_Distance_Units: meters Planar:
Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: coordinate pairCoordinate_Representation: Abscissa_Resolution:56Ordinate_Resolution:
56Planar_Distance_Units: meters Geodetic_Model:Horizontal_Datum_Name: North American Datum of 1983 Ellipsoid_Name:Geodetic
Reference System 80 Semi-major_Axis: 6378137.000000Denominator_of_Flattening_Ratio: 298.257223563Universal_Transverse_MercatorUTM_Zone_Number
13 NorthTransverse_MercatorScale_Factor_at_Central_Meridian 0.9996Longitude_of_Central_Meridian -105Latitude_of_Projection_Origin
0False_Easting 500000False_Northing 0 Geodetic_Model:Horizontal_Datum_Name: WGS84 Ellipsoid_Name:WGS84 Semi-major_Axis: 6378137.00Denominator_of_Flattening_Ratio:
298.257223563Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Attribute: Attribute_Label: OBJECTIDAttribute_Definition:
Internal feature number.Attribute_Definition_Source: ESRIAttribute_Domain_Values: Unrepresentable_Domain: Sequential unique
whole numbers that are automatically generated.Attribute: Attribute_Label: SourceAttribute: Attribute_Label: YearAttribute:
Attribute_Label: FrequencyAttribute: Attribute_Label: LocationAttribute: Attribute_Label: StateAttribute: Attribute_Label:
State_FipsAttribute: Attribute_Label: Ag__DistrictAttribute: Attribute_Label: Ag__District_CodeAttribute: Attribute_Label:
CountyAttribute: Attribute_Label: County_CodeAttribute: Attribute_Label: Zip_CodeAttribute: Attribute_Label: RegionAttribute:
Attribute_Label: WatershedAttribute: Attribute_Label: Data_ItemAttribute: Attribute_Label: DomainAttribute: Attribute_Label:
Domain_CategoryAttribute: Attribute_Label: Value 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, 2009 Wyoming Cropland Data LayerSource: USDA, National Agricultural Statistics
ServiceThe following is a cross reference list of the categorization codes andland covers. Note that not all land cover categories
listed below willappear in an individual state.RasterAttribute Domain Values and Definitions: CROPS 1-20Categorization 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"14" MintRasterAttribute Domain Values and Definitions: GRAINS,HAY,SEEDS 21-40Categorization 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"
CamelinaRasterAttribute Domain Values and Definitions: CROPS 41-60Categorization 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"54" Tomatoes"55" Caneberry"56" Hops"57" Herbs"58" Clover/Wildflowers"59" Seed/Sod
Grass"60" SwitchgrassRasterAttribute Domain Values and Definitions: NON-CROP 61-65Categorization Code Land Cover"61" Fallow/Idle
Cropland"62" Grass/Pasture"63" Woodland"64" Shrubland"65" BarrenRasterAttribute Domain Values and Definitions: CROPS 66-80Categorization
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"74" Pecans"75" Almonds"76" Walnuts"77" Pear"80" Other Non-Tree FruitRasterAttribute Domain Values and Definitions:
OTHER 81-99Categorization Code Land Cover"81" Clouds"82" Urban/Developed"83" Water"87" Wetlands"92" AquacultureRasterAttribute
Domain Values and Definitions: NLCD-DERIVED NON-CROP 100-195Categorization 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 WetlandsRasterAttribute Domain Values and Definitions: CROPS 195-255Categorization
Code Land Cover"204" Pistachios"205" Triticale"206" Carrots"207" Asparagus"208" Garlic"209" Cantaloupe"210" Prunes"211" Olives"212"
Oranges"213" Honeydew Melon"214" Broccoli"216" Peppers"217" Pomegranates"218" Nectarine"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" Cucumber"229" Pumpkin"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" Blueberry"243"
Cabbage"244" Cauliflower"245" Celery"246" Radish"247" Turnip"248" Eggplant"249" Gourds"250" Cranberry"254" Dbl. Crop Barley/Soybeans
Citation
Title USDA, National Agricultural Statistics Service, Cropland Data Layers for Wyoming
publication Date
2012-01-01T12:00:00
presentationForm
mapDigital
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.
cited responsible party
-
originator
organisation 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)
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.
Resource language:
eng
Resource progress code:
underDevelopment
Resource Maintenance Information
maintenance or update frequency:
Constraints on resource usage:
Legal Constraints
Access Constraints
otherRestrictions
use constraint:
otherRestrictions
Other constraints
Access constraints: None. Use Limitation: 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 ArcGIS Explorer <http://www.esri.com/software/arcgis/explorer/>.. Distribution Liability: Disclaimer: Users of
the Cropland Data Layer (CDL) are solely responsible for interpretations made from these products. The CDL is provided 'as
is' and the USDA, NASS does not warrant results you may obtain using the Cropland Data Layer. Contact our staff at (HQ_RDD_GIB@nass.usda.gov)
if technical questions arise in the use of the CDL. NASS does maintain a Frequently Asked Questions (FAQ's) section on the
CDL website at <http://www.nass.usda.gov/research/Cropland/SARS1a.htm>.
Constraints on resource usage:
Security Constraints
Classification
unclassified
Classification
System None
Handling
Description None
Spatial representation type code:
grid
Processing environment:
Technical Prerequisites: If the user does not have software capable of viewing GEOTIF (.tif) or ERDAS Imagine (.img) file
formats then we suggest using the freeware browser ESRI ArcGIS Explorer <http://www.esri.com/software/arcgis/explorer/>.
Resource extent
Geographic Extent
Geographic Bounding Box
westBoundLongitude
-111.4514
eastBoundLongitude
-104.0533
northBoundLatitude
44.9791
southBoundLatitude
40.9945
Temporal Extent
begin 2009-01-01T12:00:00
end 2012-01-01T12:00:00
Additional information on resource:
If the following table does not display properly, then please visit this internet site <http://www.nass.usda.gov/research/Cropland/metadata/metadata_wy09.htm>
to view the original metadata file.USDA, National Agricultural Statistics Service 2009 Wyoming Cropland Data LayerCLASSIFICATION
INPUTS:AWIFS DATE 20081030 PATH 256 ROW(S)&QUADRANT(S) 35BD 40BDAWIFS DATE 20081119 PATH 260 ROW(S)&QUADRANT(S) 40BD 45BDAWIFS
DATE 20090319 PATH 260 ROW(S)&QUADRANT(S) 40BDAWIFS DATE 20090530 PATH 260 ROW(S)&QUADRANT(S) 35BD 40BD 45BAWIFS DATE 20090623
PATH 260 ROW(S)&QUADRANT(S) 35BD 40BDAWIFS DATE 20090627 PATH 256 ROW(S)&QUADRANT(S) 35D 40BDAWIFS DATE 20090707 PATH 258
ROW(S)&QUADRANT(S) 38ABD 40BD 45BDAWIFS DATE 20090708 PATH 263 ROW(S)&QUADRANT(S) 35CD 40ABCD 45ABAWIFS DATE 20090711 PATH
254 ROW(S)&QUADRANT(S) 35BDAWIFS DATE 20090715 PATH 250 ROW(S)&QUADRANT(S) 35BD 40ABCD 45ABDAWIFS DATE 20090721 PATH 256 ROW(S)&QUADRANT(S)
36D 40BDAWIFS DATE 20090722 PATH 261 ROW(S)&QUADRANT(S) 38ABCD 40BCD 45AB 50BAWIFS DATE 20090801 PATH 263 ROW(S)&QUADRANT(S)
35AC 40ABC 45ABDAWIFS DATE 20090810 PATH 260 ROW(S)&QUADRANT(S) 35BD 40BD 45BAWIFS DATE 20090811 PATH 265 ROW(S)&QUADRANT(S)
35ACD 40ABCD 45ABDAWIFS DATE 20090828 PATH 254 ROW(S)&QUADRANT(S) 35BD 40ABCD 45ABCAWIFS DATE 20090903 PATH 260 ROW(S)&QUADRANT(S)
40BD 45BAWIFS DATE 20090917 PATH 258 ROW(S)&QUADRANT(S) 35BD 40BDAWIFS DATE 20090925 PATH 250 ROW(S)&QUADRANT(S) 35BD 40DAWIFS
DATE 20090927 PATH 260 ROW(S)&QUADRANT(S) 35D 40BD 45BDLANDSAT 5 TM DATE 20090803 PATH 036 ROW(S) 29 30 31 32 33 34LANDSAT
5 TM DATE 20090821 PATH 034 ROW(S) 29 30 31 34 35 36 37 38LANDSAT 5 TM DATE 20090828 PATH 035 ROW(S) 29 30 31 34 35 36 37
38LANDSAT 5 TM DATE 20090911 PATH 037 ROW(S) 29 30 31 32 33 34MODIS 16 DAY NDVI COMPOSITE DATE 20081116MODIS 16 DAY NDVI COMPOSITE
DATE 20090407MODIS 16 DAY NDVI COMPOSITE DATE 20090509MODIS 16 DAY NDVI COMPOSITE DATE 20090610MODIS 16 DAY NDVI COMPOSITE
DATE 20090712USGS, NATIONAL ELEVATION DATASET ELEVATIONUSGS, NATIONAL LAND COVER DATASET 2001 TREE CANOPYUSGS, NATIONAL LAND
COVER DATASET 2001 IMPERVIOUSNESSTRAINING AND VALIDATION:USDA, FARM SERVICE AGENCY 2009 COMMON LAND UNIT DATAUSGS, NATIONAL
LAND COVER DATASET 2001NOTE: The final extent of the CDL is clipped to the state boundaryeven though the raw input data may
encompass a larger area.
Credits:
USDA, National Agricultural Statistics Service
point of contact
-
pointOfContact
individual Name USDA, NASS, Spatial Analysis Research Section staff
organisation Name
USDA, NASS, Spatial Analysis Research Section
Contact information
Telephone
Voice 703-877-8000
Fax 703-877-8044
Address
3251 Old Lee Highway, Room 305, Fairfax, Virginia, 22030-1504
Country USA
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: 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 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. Some Cropland Data Layer states used Landsat 5 TM and/or Landsat 7 ETM+ satellite imagery to supplement
the classification. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all
imagery and ancillary data used to generate this state's CDL.ACCURACY: The accuracy of the land cover classifications are
evaluated using independent validations data sets generated from the FSA CLU data (agricultural categories) and the NLCD 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.
processing agent contact
-
processor
individual Name USDA, NASS, Spatial Analysis Research Section staff
organisation Name
USDA, NASS, Spatial Analysis Research Section
Contact information
Telephone
Voice 703-877-8000
Fax 703-877-8044
Address
3251 Old Lee Highway, Room 305, Fairfax, Virginia, 22030-1504
Country USA
source description
Source Contribution: Raw data used in land cover spectral signature analysis CD-ROM and/or DVD
representative resolution scale:
Scale denominator:
source citation
Title RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS)
publication Date
1900-01-01T12:00:00
presentationForm
imageDigital
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.
cited responsible party
-
originator
organisation Name
Indian Remote-Sensing Satellite series of ISRO (Indian Space Research Organization)
Contact information
Address
electronic Mail Address
Resource extent
Temporal Extent
begin 2009-01-01T12:00:00
end 2009-12-30T12:00:00
source
source description
Source Contribution: Raw data used in land cover spectral signature analysis online download
representative resolution scale:
Scale denominator:
source citation
Title Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+)
publication Date
1900-01-01T12:00:00
presentationForm
imageDigital
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.
cited responsible party
-
originator
organisation Name
United States Geological Survey (USGS), Earth Resources Observation and Science (EROS)
Contact information
Address
electronic Mail Address
Resource extent
Temporal Extent
begin 2008-10-01T12:00:00
end 2009-12-30T12:00:00
source
source description
Source Contribution: NDVI data used in land cover spectral signature analysis online download
representative resolution scale:
Scale denominator:
source citation
Title Moderate Resolution Imaging Spectroradiometer (MODIS), 250 meter resolution 16-day composite Normalized Difference Vegetation
Index (NDVI) from the Terra satellite (MOD13Q1v4)
publication Date
1900-01-01T12:00:00
presentationForm
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.
cited responsible party
-
originator
organisation Name
United States Geological Survey (USGS) and National Aeronautics and Space Administration (NASA) Land Processes Distributed
Active Archive Center (LP DAAC)
Contact information
Address
electronic Mail Address
Resource extent
Temporal Extent
begin 2008-10-01T12:00:00
end 2009-09-30T12:00:00
source
source description
Source Contribution: spatial and attribute information used in land cover spectral signature analysis online
representative resolution scale:
Scale denominator:
source citation
Title The National Elevation Dataset (NED)
publication Date
1900-01-01T12:00:00
presentationForm
imageDigital
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.
cited responsible party
-
originator
organisation Name
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Contact information
Address
electronic Mail Address
Resource extent
Temporal Extent
time Position
source
source description
Source Contribution: spatial and attribute information used in the spectral signature training and validation of non-agricultural
land cover online
representative resolution scale:
Scale denominator:
source citation
Title National Land Cover Database 2001 (NLCD 2001)
publication Date
2006-01-01T12:00:00
presentationForm
imageDigital
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.
cited responsible party
-
originator
organisation Name
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Contact information
Address
electronic Mail Address
Resource extent
Temporal Extent
time Position
source
source description
Source Contribution: spatial and attribute information used in the spectral signature training and validation of agricultural
land cover online
representative resolution scale:
Scale denominator:
source citation
Title USDA, FSA Common Land Unit (CLU)
publication Date
2009-01-01T12:00:00
presentationForm
mapDigital
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/>.
cited responsible party
-
originator
organisation Name
United States Department of Agriculture (USDA), Farm Service Agency (FSA)
Contact information
Address
electronic Mail Address
Resource extent
Temporal Extent
time Position
AbsoluteExternalPositionalAccuracy
name Of Measure Horizontal Positional Accuracy
measure Description
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.
evaluation Method 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 Result
result value 60 meter CE90
value Units
Completeness Omission
evaluation Method Description
The entire state is covered by the Cropland Data Layer.
ConceptualConsistency
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.
QuantitativeAttributeAccuracy
name Of Measure Quantitative Attribute Accuracy Assessment
measure Description
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.
evaluation Method 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, 2009 Wyoming Cropland Data LayerSTATEWIDE
AGRICULTURAL ACCURACY REPORTCrop-specific covers only *Correct Accuracy Error Kappa------------------------- ------- --------
------ -----OVERALL ACCURACY** 92604 56.34% 43.66% 0.4379Cover Attribute *Correct Producer's Omission User's Commission Cond'lType
Code Pixels Accuracy Error Kappa Accuracy Error Kappa---- ---- ------ -------- ----- ----- -------- ----- -----Corn 1 6142
86.78% 13.22% 0.8669 79.49% 20.51% 0.7937Sorghum 4 52 18.57% 81.43% 0.1856 32.91% 67.09% 0.3290Sunflowers 6 168 28.05% 71.95%
0.2804 90.81% 9.19% 0.9081Barley 21 6198 78.19% 21.81% 0.7805 82.19% 17.81% 0.8208Spring Wheat 23 289 28.61% 71.39% 0.2859
69.30% 30.70% 0.6928Winter Wheat 24 6081 80.69% 19.31% 0.8058 85.17% 14.83% 0.8508Rye 27 2 5.13% 94.87% 0.0513 25.00% 75.00%
0.2500Oats 28 591 24.26% 75.74% 0.2419 48.48% 51.52% 0.4838Millet 29 279 35.27% 64.73% 0.3524 51.48% 48.52% 0.5144Alfalfa
36 15021 69.76% 30.24% 0.6925 73.17% 26.83% 0.7269Other Hays 37 45175 68.94% 31.06% 0.6675 55.58% 44.42% 0.5309Camelina 38
0 0.00% 100.00% 0.0000 n/a n/a n/aSugarbeets 41 3492 89.20% 10.80% 0.8916 93.37% 6.63% 0.9335Dry Beans 42 3650 85.34% 14.66%
0.8529 86.17% 13.83% 0.8612Potatoes 43 0 n/a n/a n/a 0.00% 100.00% 0.0000Clover/Wildflowers 58 0 0.00% 100.00% 0.0000 0.00%
100.00% 0.0000Seed/Sod Grass 59 131 42.39% 57.61% 0.4239 81.37% 18.63% 0.8136Fallow/Idle Cropland 61 5192 60.91% 39.09% 0.6069
76.63% 23.37% 0.7647Triticale 205 96 18.50% 81.50% 0.1849 82.05% 17.95% 0.8204Vetch 224 0 0.00% 100.00% 0.0000 n/a n/a n/aDbl.
Crop WinWht/Sorghum 236 45 95.74% 4.26% 0.9574 100.00% 0.00% 1.0000*Correct Pixels represents the total number of independent
validation pixels correctly identifedin the error matrix.**The Overall Accuracy represents only the FSA row crops and annual
fruit and vegetables. FSA-sampled treeand shrub crops, aquaculture, and all NLCD-sampled categories 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 Result
result 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.
The Cropland Data Layer is available free for download at <http://datagateway.nrcs.usda.gov/>. 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>.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.
notes: This metadata was automatically generated from the FGDC Content Standards for Digital Geospatial Metadata standard, version
FGDC-STD-001-1998 using the August 2011-REH version of the FGDC CSDGM to ISO 19115-2 transform modified and updatated by SMR
2018-05-26 to work with xslt v1.0; generates USGIN compatible ISO19139 XML. Most recent metadata content review date: indeterminate:
Metadata Constraints
Legal Constraints
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use constraint:
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Metadata Access Constraints: No restrictions on the distribution or use of the metadata file Metadata Use Constraints: No
restrictions on the distribution or use of the metadata fileGenerated by mp version 2.9.10 on Thu Dec 24 13:50:28 2009
Metadata contact
-
pointOfContact
individual Name USDA, NASS, Spatial Analysis Research Section Staff
organisation Name
USDA, NASS, Spatial Analysis Research Section
Contact information
Telephone
Voice 703-877-8000
Fax 703-877-8044
Address
3251 Old Lee Highway, Room 305, Fairfax, Virginia, 22030-1504
Country USA