USDA - NATIONAL AGRICULTURE STATISTICS SERVICE'S 1:100,000-SCALE 2006 CROPLAND DATA LAYER, A Crop-Specific Digital Data Layer for Minnesota, Released 2007 September 1

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator:
United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS), Research and Development Division, Geospatial Information Branch, Spatial Analysis Research Section (SARS)
Publication_Date: 20070901
Title:
USDA - NATIONAL AGRICULTURE STATISTICS SERVICE'S 1:100,000-SCALE 2006 CROPLAND DATA LAYER, A Crop-Specific Digital Data Layer for Minnesota, Released 2007 September 1
Edition: 2006 edition
Geospatial_Data_Presentation_Form: raster digital data
Series_Information:
Series_Name: USDA-NASS Cropland Data Layer
Issue_Identification: 2006 edition
Publication_Information:
Publication_Place: USDA-NASS Marketing Division, Washington, D.C.
Publisher:
United States Department of Agriculture (USDA), National Agriculture Statistics Service (NASS)
Other_Citation_Details:
Available on CD-Rom or DVD through the official website <http://www.nass.usda.gov/research/Cropland/SARS1a.htm>.
Beginning in 2007, the data will also be available online for download at <http://datagateway.nrcs.usda.gov/>.
Online_Linkage: <http://datagateway.nrcs.usda.gov/>
Description:
Abstract:
The USDA-NASS 2006 Minnesota Cropland Data Layer (CDL) is a raster, geo-referenced, categorized land cover data layer produced using satellite imagery from the Indiana Remote Sensing (IRS) Advanced Wide Field Sensor (AWiFS). The AWiFS ground resolution is 56 meters by 56 meters. The imagery was collected during the 2006 growing season. Farm Service Agency (FSA) Common Land Unit (CLU) data were used for ground truth information for all cropland categories. The United States Geological Survey's (USGS) National Land Cover Dataset (NLCD) 2001 was used as ground truth information for non-agricultural categories. USGS Digital Elevation Models (DEM); USGS NLCD 2001 Imperviousness and Tree Canopy data sets; and MODIS 250 m 16 days Normalized Difference Vegetation Index (NDVI) composites were resampled to 56 m and utilized as ancillary inputs to the classification. The CDL is aggregated to a reduced number of standardized categories for display purposes with the emphasis being agricultural land cover.
The data is available online for download at <http://datagateway.nrcs.usda.gov/>.
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 on an annual basis to (1) provide supplemental acreage estimates for the state's major commodities and (2) produce digital, crop specific, categorized geo-referenced output products.
These data are intended for geographic display and analysis at the state level. The cropland data layers are provided "as is". USDA/NASS does not warrant results you may obtain using the data.
Supplemental_Information:
Historically, PEDITOR was used as NASS' primary image processing software; PEDITOR is maintained in-house at the Spatial Analysis Research Section (SARS) in Fairfax, Virginia. Although PEDITOR is no longer used for image processing and classification procedures, it is still used to derive the state and county estimates for major crops. PEDITOR runs on most Microsoft Windows platforms; however, PEDITOR's batch processing system programs is only supported on Windows XP.
In 2005, NASS began testing the use of Rulequest's See5.0 software rather than Peditor. Check the "Process_Description" section of this metadata file for more details on which methodology was used for this specific state and year. Additional information on Rulequest's See5.0 software can be found at <http://www.rulequest.com/>.
Leica Geosystems ERDAS Imagine and ESRI's ArcGIS are used in the pre- and post-processing of data. Additional information about Leica Geosystems ERDAS Imagine software can be found at <http://gi.leica-geosystems.com/>. Additional information about ESRI's ArcGIS software can be found at <http://www.esri.com/>.
Additional information about ESRI's ArcReader can be found at <http://www.esri.com/arcreader>.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20060715
Ending_Date: 20061001
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -97.2469
East_Bounding_Coordinate: -89.9297
North_Bounding_Coordinate: 49.3811
South_Bounding_Coordinate: 43.3604
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: farming, 001
Theme_Keyword: environment, 007
Theme:
Theme_Keyword_Thesaurus:
National Agricultural Statistics Service, U.S. Department of Agriculture, 1987, Area Frame Design for Agricultural Surveys, Washington, D.C., NASS/USDA.
Theme_Keyword: area sampling frame
Theme:
Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Science Keywords
Theme_Keyword:
Earth Science > Biosphere > Terrestrial Ecosystems > Agricultural Lands
Theme_Keyword: Earth Science > Land Surface > Land Use/Land Cover > Land Cover

Theme:
Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Instrument Keywords
Theme_Keyword: AWIFS > Advanced Wide Field Sensor
Theme_Keyword: MODIS > Moderate-Resolution Imaging Spectroradiometer

Theme:
Theme_Keyword_Thesaurus: None

Theme_Keyword: crop cover
Theme_Keyword: classification
Theme_Keyword: cropland
Theme_Keyword: agriculture
Theme_Keyword: land cover
Theme_Keyword: crop estimates
Theme_Keyword: crop identification
Theme_Keyword: AWiFS
Theme_Keyword: MODIS
Place:
Place_Keyword_Thesaurus: GCMD (Global Change Master Directory) Location Keywords
Place_Keyword:
Continent > North America > United States Of America > Minnesota
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Minnesota
Place_Keyword: MN
Temporal:
Temporal_Keyword_Thesaurus: None
Temporal_Keyword: 2006
Access_Constraints: None
Use_Constraints:
The USDA-NASS Cropland Data Layer (CDL) is considered public domain and free to redistribute. ESRI's ArcReader software included on the CD-Rom or DVD is also free to redistribute. Additional information about ArcReader can be found at <http://www.esri.com/arcreader/>.
The USDA-NASS should be acknowledged as the data source in products derived from these data.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA-NASS Spatial Analysis Research Section
Contact_Person: USDA-NASS Spatial Analysis Research Section staff
Contact_Address:
Address_Type: mailing address
Address: 3251 Old Lee Highway, Rm 305
City: Fairfax
State_or_Province: Virginia
Postal_Code: 22030-1504
Country: USA
Contact_Voice_Telephone: 703-877-8000
Contact_Facsimile_Telephone: 703-877-8044
Contact_Electronic_Mail_Address: HQ_RD_OD@nass.usda.gov
Native_Data_Set_Environment:
The data layer is distributed online in a GEOTIFF image file format and on CD-Rom and/or DVD.
Leica Geosystems ERDAS Imagine and ESRI's ArcGIS are used in the pre- and post-processing of data. Additional information about Leica Geosystems ERDAS Imagine software can be found at <http://gi.leica-geosystems.com/>. Additional information about ESRI's ArcGIS software can be found at <http://www.esri.com/>.
Historically, PEDITOR was used as NASS' primary image processing software; PEDITOR is maintained in-house at the Spatial Analysis Research Section (SARS) in Fairfax, Virginia. Although PEDITOR is no longer used for image processing and classification procedures, it is still used to derive the state and county estimates for major crops. PEDITOR runs on most Microsoft Windows platforms; however, PEDITOR's batch processing system programs is only supported on Windows XP.
Commercial off the shelf software XLNT from Advanced Systems Concepts is used for batch job processing on the NT/2000/XP operating systems. SARS utilizes XLNT to run computationally intensive jobs that are shared across network resources to expedite processing. Additional information about XLNT can be found at <http://www.advsyscon.com/>.
In 2005, NASS began testing the use of Rulequest's See5.0 software rather than PEDITOR. Check the "Process_Description" section of this metadata file for more details on which methodology was used for this specific state and year. Additional information on Rulequest's See5.0 software can be found at <http://www.rulequest.com/>.

Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Due to the extensiveness of the attribute accuracy report, the accuracy metadata are published on the CD-ROM or DVD in an html format. NASS reports accuracy statistics for the entire state, sensors used, percent correct and kappa coefficients, regression analysis by crop and by land use strata (r-squared and slope values from sample estimation). Detailed accuracy metadata may also be obtained through the USDA DataGateway at <http://datagateway.nrcs.usda.gov/>.
Classification accuracy is generally between 85% to 95% correct for agricultural-related land cover categories.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value:
Classification accuracy is generally between 85% to 95% correct for agricultural-related land cover categories.
Attribute_Accuracy_Explanation:
The accuracy of the land cover classifications are evaluated using independent validations data sets generated from the Farm Service Agency (FSA) Common Land Unit (CLU) data (agricultural categories) and the National Land Cover Data (NLCD) 2001 (non agricultural categories). More information about FSA CLUs can be found at <http://www.fsa.usda.gov/> and <http://datagateway.nrcs.usda.gov/>. More information on the NLCD can be found at <http://www.mrlc.gov/>.
The June Agricultural Survey (JAS) is used in regression analysis and crop acreage estimation. The JAS is a national survey based on a stratified random sample of land areas selected from each state's area frame. An area frame is a land use stratification based on percent cultivation. Additional information about NASS' June Area Survey can be found at <http://www.nass.usda.gov/Surveys/June_Area/>.
Please note that no farmer reported data are derivable from the Cropland Data Layer.
Logical_Consistency_Report:
Consistency of the data is based on NASS' methods used to create the Cropland Data Layer (CDL). 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). More information about FSA CLUs can be found at <http://www.fsa.usda.gov/> and <http://datagateway.nrcs.usda.gov/>. More information on the NLCD can be found at <http://www.mrlc.gov/>.
The June Agricultural Survey (JAS) is used in regression analysis and crop acreage estimation. The JAS is a national survey based on a stratified random sample of land areas selected from each state's area frame. An area frame is a land use stratification based on percent cultivation. Additional information about NASS' June Area Survey can be found at <http://www.nass.usda.gov/Surveys/June_Area/>.
Please note that no farmer reported data are derivable from the Cropland Data Layer.
Completeness_Report:
The entire State of Minnesota is covered by the Cropland Data Layer.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report: The categorized images are orthorectified and projected.
Quantitative_Horizontal_Positional_Accuracy_Assessment:
Horizontal_Positional_Accuracy_Value: 56 meters
Horizontal_Positional_Accuracy_Explanation: IRS Awifs 56 x 56 meter pixel.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
IRS (Indian Remote-Sensing Satellite) series of ISRO (Indian Space Research Organization)
Title: IRS, Advanced Wide Field Sensor (AWiFS)
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publisher: GeoEye
Publication_Place: Dulles, Virginia 20166
Publication_Date: 20061101
Other_Citation_Details:
The IRS, AWiFS satellite sensor operates in four spectral bands at a spatial resolution of 56 meters. Additional information about IRS AWiFS data can be obtained from GeoEye <http://www.geoeye.com/>. The following dates of AWiFS imagery were used in the classification process. The final extent of the CDL is clipped to the state boundary even though the raw input data may encompass a larger area. 
IRS AWiFS Path 262 Row(s) 33 Quadrant(s) D, 09/05/2006
IRS AWiFS Path 262 Row(s) 36 Quadrant(s) B, 09/05/2006
IRS AWiFS Path 264 Row(s) 34 Quadrant(s) D, 08/22/2006
IRS AWiFS Path 264 Row(s) 36 Quadrant(s) B, 08/22/2006
IRS AWiFS Path 266 Row(s) 34 Quadrant(s) C, 09/25/2006
IRS AWiFS Path 266 Row(s) 35 Quadrant(s) D, 07/15/2006
IRS AWiFS Path 266 Row(s) 39 Quadrant(s) B, 07/15/2006
IRS AWiFS Path 269 Row(s) 37 Quadrant(s) D, 07/30/2006
IRS AWiFS Path 269 Row(s) 39 Quadrant(s) A, 07/30/2006
IRS AWiFS Path 272 Row(s) 35 Quadrant(s) C and D, 10/01/2006
IRS AWiFS Path 272 Row(s) 40 Quadrant(s) A and B, 10/01/2006
IRS AWiFS Path 274 Row(s) 39 Quadrant(s) A, 07/31/2006
Source_Scale_Denominator: 56 meter
Type_of_Source_Media: CD-ROM and/or DVD
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20060715
Single_Date/Time:
Calendar_Date: 20060730
Single_Date/Time:
Calendar_Date: 20060731
Single_Date/Time:
Calendar_Date: 20060822
Single_Date/Time:
Calendar_Date: 20060905
Single_Date/Time:
Calendar_Date: 20060925
Single_Date/Time:
Calendar_Date: 20061001
Source_Currentness_Reference: ground condition
Source_Contribution: Raw data used in land cover spectral signature analysis.
Source_Information:
Source_Citation:
Citation_Information:
Originator:
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
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:
Publisher: USGS, EROS Data Center
Publication_Place: Sioux Falls, South Dakota 57198 USA
Publication_Date: 20061101
Other_Citation_Details:
Additional information about the MODIS, 250 meter 16-day composite NDVI data product can be found at <http://edcdaac.usgs.gov/modis/mod13q1v4.asp>. The final extent of the CDL is clipped to the state boundary even though the raw input data may encompass a larger area.
Source_Scale_Denominator: 250 meter
Type_of_Source_Media: CD-ROM and/or DVD
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20060423
Single_Date/Time:
Calendar_Date: 20060509
Single_Date/Time:
Calendar_Date: 20060525
Single_Date/Time:
Calendar_Date: 20060610
Single_Date/Time:
Calendar_Date: 20060626
Single_Date/Time:
Calendar_Date: 20060712
Single_Date/Time:
Calendar_Date: 20060728
Single_Date/Time:
Calendar_Date: 20060813
Single_Date/Time:
Calendar_Date: 20060829
Single_Date/Time:
Calendar_Date: 20060914
Single_Date/Time:
Calendar_Date: 20060930
Single_Date/Time:
Calendar_Date: 20061016
Single_Date/Time:
Calendar_Date: 20061117
Source_Currentness_Reference: ground condition
Source_Contribution: Raw data used in land cover spectral signature analysis.
Source_Information:
Source_Citation:
Citation_Information:
Originator:
USDA/NASS, Research and Development Division, Area Frame Section
Title: Area Sampling Frame (ASF) of Minnesota
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publisher: USDA-NASS
Publication_Place: Washington D.C., USA
Publication_Date: 1975
Other_Citation_Details:
Additional information about the NASS Area Frame Stratification can be found at <http://www.nass.usda.gov/research/stratafront2b.htm>.
Source_Scale_Denominator: 100000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1975
Source_Currentness_Reference: publication date
Source_Contribution: spatial and attribute information
Source_Information:
Source_Citation:
Citation_Information:
Originator:
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Title: The National Elevation Dataset (NED)
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publisher: USGS, EROS Data Center
Publication_Place: Sioux Falls, South Dakota 57198 USA
Publication_Date: Continuously updated
Other_Citation_Details:
The Digital Elevation Model (DEM) of the National Elevation Dataset was used as an ancillary data source to the Cropland Data Layer. Slope and Aspect were also derived from the DEM as additional inputs to the Cropland Data Layer classification process. More information on the NED can be found at <http://ned.usgs.gov/>.
Source_Scale_Denominator: 30 meter
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: unknown
Source_Currentness_Reference: ground condition
Source_Contribution: spatial and attribute information
Source_Information:
Source_Citation:
Citation_Information:
Originator:
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Title: National Land Cover Database 2001 (NLCD 2001)
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publisher: USGS, EROS Data Center
Publication_Place: Sioux Falls, South Dakota 57198 USA
Publication_Date: 2006
Other_Citation_Details:
The NLCD 2001 was used as ground truth information and validation for non-agricultural categories. Additionally, the USGS NLCD 2001 Imperviousness and Tree Canopy layers were used as ancillary data sources to the Cropland Data Layer classification process. More information on the NLCD can be found at <http://www.mrlc.gov/>.
Source_Scale_Denominator: 30 meter
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: unknown
Source_Currentness_Reference: ground condition
Source_Contribution: spatial and attribute information
Process_Step:
Process_Description:
The Cropland Data Layer (CDL) Program provides the National Agricultural Statistics Service (NASS) with internal proprietary county and state level acreage indications of major crop commodities, and secondarily provides the public with "statewide" (where available) raster, geo-referenced, categorized land cover data products after the public release of county estimates. This project builds upon NASS' traditional crop acreage estimation program, and integrates Farm Service Agency (FSA) field data with satellite imagery to create an unbiased statistical estimator of crop area at the state and county level for internal use. Please note that in no case are farmer reported data revealed or derivable from the public use Cropland Data Layer.
The Cropland Data Layer is developed using Leica Geosystems ERDAS Imagine in tandem with Rulequest See5.0. Both are commercial software packages. ERDAS Imagine, being a comprehensive image processing suite, handled the bulk of the processing steps including preprocessing and managing of the raw imagery and training data, building of the scene classifications, and creation of the final statewide mosaics. See5.0 was solely used to derive the classification rules, based on training data, for which ERDAS Imagine then applies back to the input imagery. Broadly defined, See5.0 is a niche data mining tool that derives decision trees, or a set of if-then rules, to assemble data into categories. It is not a GIS application in itself.
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. These reasons combined usually lead to improved classifications over the maximum likelihood method. Additionally, there are several varieties of decision tree classifiers but See5.0 stands out because it further employs a statistical technique known as "boosting" which has been shown to improve results even further. More information on Rulequest's See5.0 software can be found at <http://www.rulequest.com/>.
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. In turn, the classifier can then "learn" how to most reasonably place into a category the rest of the unknown pixels. The best ground truth comes from a statistically representative probability sample that is dense enough to account for the variability of the land cover types that are being mapped. Traditionally, NASS CDLs have utilized ground truth data from the annual June Agricultural Survey (JAS). More information about the JAS can be found at <http://www.nass.usda.gov/Surveys/June_Area/>. To make this survey data available for use within a classification takes a fair amount of labor because the field boundaries and attributes have to be manually digitized into a GIS since natively they are recorded only on paper. More recently, very comprehensive ground truth data have been provided from the FSA which NASS has begun utilizing as a replacement for the JAS information. The FSA 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/> and <http://datagateway.nrcs.usda.gov/>.
All available raw AWiFS satellite imagery for the region, as well as, USGS Digital Elevation Models (DEM); USGS Slope, Aspect, Canopy, and Imperviousness data sets; and MODIS 250 m 16 days NDVI composites (resampled to 56 m) were utilized as ancillary inputs to the classification.
Scene selection begins in early summer, and could run into the late fall depending on image availability. The Cropland Data Layer program primarily uses the IRS AWIFS platform for acreage estimation. A minimum of one spring and one summer scene are preferred for maximum crop cover separation for multitemporal analysis of summer crops. Due to the rapid repeat cycle (5 days) of the AWiFS sensor, multiple scene acquisitions are often available over the summer months.
The Cropland Data Layer DVD/CD-ROM products contain imagery in GEOTIFF image file format. In order to maximize the visual contrast between different crops in various states, colors that provide the best contrast for the crop mix in a particular state are chosen. However, the digital values for each category within every state remain the same. So corn in ND will have the same digital number as corn in AR. See the stats.htm file in the statinfo directory on the CDL CD-ROM or DVD for a full listing by cover type.
All CDL distribution for the previous crop year is held until the release of the official NASS county estimates for the major commodities grown within a given state. Corn and Soybeans are released in March for the previous crop year - Midwestern States. Rice and Cotton are released in June for the previous crop year - Delta States. Small grains are released in March for the Great Plains States.
NASS publishes all available accuracy statistics for end-user viewing. The 'Percent Correct' and/or 'Producer's Accuracy %' is calculated for each cover type in the ground truth, it shows how many of the total pixels were correctly classified (i.e. across all cover types). A 'Commission Error' is also reported and is defined as the calculated percentage of all pixels categorized to a specific cover type that were not of that cover type in the ground truth (i.e. incorrectly categorized). CAUTION: a quoted Percent Correct for a specific cover type is worthless unless accompanied by its respective Commission Error. Example: if you classify every pixel in a scene to 'wheat', then you have a 100% correct wheat classifier (however its Commission Error is also almost 100%). The 'Conditional Kappa %' and/or 'Kappa Coefficient %' is an attempt to adjust the Percent Correct using information gained from the confusion matrix for that cover type.
The NASS CDL Program is continuing efforts to reduce end-user burden, increase functionality, and take advantage of enhancements in computer technology. The Cropland Data Layer Program is a one of a kind agricultural inventory program, where every state participating in the program is re-categorized every year. The data on the CD-ROM or DVD is in the public domain, and you are free to do with it as you choose. However, NASS would appreciate acknowledgment or credit regarding the source of the categorized images in any uses that you may have.
Please note that in no case are farmer reported data revealed or derivable from the public use Cropland Data Layer.
Process_Date: 20070723
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA-NASS Spatial Analysis Research Section
Contact_Person: USDA-NASS Spatial Analysis Research Section staff
Contact_Address:
Address_Type: mailing address
Address: 3251 Old Lee Highway, Rm 305
City: Fairfax
State_or_Province: Virginia
Postal_Code: 22030-1504
Country: USA
Contact_Voice_Telephone: 703-877-8000
Contact_Facsimile_Telephone: 703-877-8044
Contact_Electronic_Mail_Address: HQ_RD_OD@nass.usda.gov
Cloud_Cover:
Reference the official CD-Rom or DVD for cloud coverage information.
Spatial_Data_Organization_Information:
Indirect_Spatial_Reference: Minnesota
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Row_Count: 11645
Column_Count: 10379
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: UTM 15
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -93
Latitude_of_Projection_Origin: 0
False_Easting: 500000
False_Northing: 0
Map_Projection_Parameters:
Grid_Coordinate_System:
Grid_Coordinate_System_Name:
Universal Transverse Mercator (The Cropland Data Layer CD and/or DVD may also include alternate coordinate systems, such as Albers Conical Equal Area, in addition to Universal Transverse Mercator.)
Universal_Transverse_Mercator:
UTM_Zone_Number: 15
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -93
Latitude_of_Projection_Origin: 0
False_Easting: 500000
False_Northing: 0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 56
Ordinate_Resolution: 56
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:
Overview_Description:
Entity_and_Attribute_Overview:
Farm Service Agency (FSA) Common Land Unit (CLU) data were used for ground truth information for all cropland categories. FSA Administrative program crop sign-up data are known as Form 578 data. These data are submitted to FSA headquarters and combined into a state-level file. Since the program is voluntary, not every producer signs up for this program. Although there are specific due dates for reporting and certifying crop signup data, in practice the data are accepted throughout the year and the Form 578 files are subsequently updated. The United States Geological Survey (USGS) National Land Cover Data (NLCD) for 2001 was used for ground truth information for non-agricultural categories.
Entity_and_Attribute_Detail_Citation:
Data Dictionary: USDA - NATIONAL AGRICULTURE STATISTICS SERVICE'S 1:100,000-SCALE 2006 CROPLAND DATA LAYER, A Crop-Specific Digital Data Layer for Minnesota, Released 2007 September 1 

 Source: USDA - National Agriculture Statistics Service

 The following is a cross reference list of the categorization codes and
 land covers used in all states. Note that not all land cover
 categories listed below will appear in an individual state. Refer
 to the "Cover Type Signatures List" on the CD-ROM or DVD for the state specific
 assignment of colors to cover type.

 Raster
 Attribute Domain Values and Definitions: ROW CROPS 1-20

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

 Raster
 Attribute Domain Values and Definitions: GRAINS,HAY,SEEDS 21-40

 Categorization Code   Land Cover
         "21"          Barley
         "22"          Durum Wheat
         "23"          Spring Wheat
         "24"          Winter Wheat
         "25"          Other 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 Hay(s)

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

 Categorization Code   Land Cover
         "41"          Beets
         "42"          Dry Beans
         "43"          Potatoes
         "44"          Other Crops
         "45"          Sugar Cane
         "46"          Sweet Potatoes
         "47"          Misc. Fruit and Veg.
         "48"          Watermelon
         "50"          Pickles
         "51"          Chick Peas
         "52"          Lentils
         "53"          Peas
         "58"          Clover/WildFlowers

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

 Categorization Code   Land Cover
         "61"          Idle Cropland/Fallow/CRP
         "62"          Grass, Pasture, Range, Non-ag, Waste, Farmstead
         "63"          Woodland
         "64"          Shrubland
         "65"          Barren

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

 Categorization Code   Land Cover
         "67"          Peaches
         "68"          Apples
         "69"          Grapes
         "70"          Christmas Trees
         "71"          Other Tree Nuts
         "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
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA-NASS Customer Service
Contact_Person: USDA-NASS Customer Service Staff
Contact_Address:
Address_Type: mailing address
Address: 1400 Independence Avenue, SW, Room 5038-S
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-9410
Country: USA
Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 703-877-8044
Contact_Electronic_Mail_Address: HQ_RD_OD@nass.usda.gov
Contact_Instructions:
To order a CD-ROM or DVD fill out the order form at <http://www.nass.usda.gov/research/Cropland/SARS1a.htm> and submit it either electronically (invoice will follow with the delivery) or mail the completed form with your check to: USDA/NASS Customer Service, 1400 Independence Avenue, SW, Room 5829-S, Washington DC 20250-9410. Please note "Cropland Data Layer - (State and Year)" in the "Memo" part of your check. Checks should be made out to "USDA-NASS". Allow 1 week for delivery.
The Cropland Data Layer is also available for download online at <http://datagateway.nrcs.usda.gov/>.
Resource_Description: NASS Cropland Data Layer, Minnesota 2006
Distribution_Liability:
Disclaimer: Users of our Cropland Data Layer (CDL) and associated raster and vector data files are solely responsible for interpretations made from these products. The CDL is provided "as is". USDA-NASS does not warrant results you may obtain by using the Cropland Data Layer. Feel free to contact our staff at (HQ_RD_OD@nass.usda.gov) if technical questions arise in the use of our Cropland Data Layer. NASS does provide considerable metadata and substantial statistical performance measures in the Frequently Asked Questions (FAQ's) section on the CDL website and on the CD-ROM and/or DVD.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: GEOTIFF
Format_Version_Date: 2006
Format_Information_Content: GEOTIFF
Transfer_Size:
The image file size will vary depending on the state and completeness of coverage.
Digital_Transfer_Option:
Offline_Option:
Offline_Media: CD-ROM or DVD
Recording_Capacity:
Recording_Density:
The image file size will vary depending on the state and completeness of coverage.
Recording_Density_Units: MB
Recording_Format: DOS-COPY
Fees:
The USDA-NASS charges a nominal fee to cover the cost of CD-ROM and DVD production and shipping costs. Please visit <http://www.nass.usda.gov/research/Cropland/SARS1a.htm> for prices. Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540.
The Cropland Data Layer is also available for download online at <http://datagateway.nrcs.usda.gov/>.
Ordering_Instructions:
To order a CD-ROM or DVD fill out the order form at <http://www.nass.usda.gov/research/Cropland/SARS1a.htm> and submit it either electronically (invoice will follow with the delivery) or mail the completed form with your check to: USDA-NASS Customer Service, 1400 Independence Avenue, SW, Room 5829-S, Washington DC 20250-9410. Please note "Cropland Data Layer - (State and Year)" in the "Memo" part of your check. Checks should be made out to "USDA-NASS". Allow 1 week for delivery.
Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540.
The Cropland Data Layer is also available for download online at <http://datagateway.nrcs.usda.gov/>.
Turnaround: Allow 1 week for delivery.
Custom_Order_Process:
For a list of other states and years of data please visit: <http://www.nass.usda.gov/research/Cropland/SARS1a.htm>.
Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540.
The Cropland Data Layer is also available for download online at <http://datagateway.nrcs.usda.gov/>.
Technical_Prerequisites:
There are no technical prerequisites requiring special software or hardware to view the data. A freeware browser, ArcReader (Environmental Systems Research Institute, Redlands, CA), is bundled onto the CD-ROM or DVD, allowing for users without a GIS or image processing software package to be able to view the products. Additional information about ESRI's ArcReader can be found at <http://www.esri.com/arcreader>.
Available_Time_Period:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20070901
Ending_Date: Unknown
Metadata_Reference_Information:
Metadata_Date: 20070901
Metadata_Review_Date: None planned
Metadata_Future_Review_Date: None planned
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA-NASS Spatial Analysis Research Section
Contact_Person: USDA-NASS Spatial Analysis Research Section Staff
Contact_Address:
Address_Type: mailing address
Address: 3251 Old Lee Highway, Rm 305
City: Fairfax
State_or_Province: Virginia
Postal_Code: 22030-1504
Country: USA
Contact_Voice_Telephone: 703-877-8000
Contact_Facsimile_Telephone: 703-877-8044
Contact_Electronic_Mail_Address: HQ_RD_OD@nass.usda.gov
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata.
Metadata_Standard_Version: FGDC-STD-001-1998
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 file.
Generated by mp version 2.9.2 on Thu Aug 30 15:42:29 2007