USDA, National Agricultural Statistics Service, 2017 Crop Frequency Layers

Metadata:

Identification_Information:
Citation:
Citation_Information:
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: 20180130
Title:
USDA, National Agricultural Statistics Service, 2017 Crop Frequency Layers
Edition: 2017 Edition
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place:
USDA, NASS Marketing and Information Services Office, Washington, D.C.
Publisher: USDA, NASS
Other_Citation_Details:
The data can be viewed and downloaded at the CropScape web service at <https://nassgeodata.gmu.edu/CropScape/>. NASS maintains a Frequently Asked Questions (FAQ's) at <https://www.nass.usda.gov/Research_and_Science/Cropland/sarsfaqs2.php>.
Online_Linkage: <https://nassgeodata.gmu.edu/CropScape/>
Description:
Abstract:
The 2017 Crop Frequency Layers identify crop specific planting frequency for the Continental United States and are based on land cover information derived from the 2008 through 2017 USDA, NASS Cropland Data Layers (CDL). The Crop Frequency Layers are raster, geo-referenced data layers that have a ground resolution of 30 meters. There are currently four individual crop frequency data layers that represent four major crop types: corn, cotton, soybeans and wheat. See the 'Process_Description' Section for details on how this data layer was created.
For a more detailed description of the Crop Frequency Layer please refer to the following journal article: C.G. Boryan.; Z. Yang.; P. Willis, "US Geospatial Crop Frequency Data Layers," Proc. Of the Third International Conference on Agro-geoinformatics (Agro-geoinformatics 2014), August 11-14 2014, Beijing, China, DOI:10.1109/Agro-Geoinformatics.2014.6910657.
Purpose:
The purpose of the Crop Frequency Layer is to improve NASS Area Frame stratification and sub-stratification.
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2017
Currentness_Reference: 20180130
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -127.8873
East_Bounding_Coordinate: -74.1585
North_Bounding_Coordinate: 47.9580
South_Bounding_Coordinate: 23.1496
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: farming, 001
Theme_Keyword: environment, 007
Theme_Keyword: imageryBaseMapsEarthCover, 010
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: None
Theme_Keyword: crop cover
Theme_Keyword: cropland
Theme_Keyword: agriculture
Theme_Keyword: farming
Theme_Keyword: land cover
Theme_Keyword: CropScape
Place:
Place_Keyword: United States
Place_Keyword: Alabama
Place_Keyword: Arizona
Place_Keyword: Arkansas
Place_Keyword: California
Place_Keyword: Colorado
Place_Keyword: Connecticut
Place_Keyword: Delaware
Place_Keyword: Florida
Place_Keyword: Georgia
Place_Keyword: Idaho
Place_Keyword: Illinois
Place_Keyword: Indiana
Place_Keyword: Iowa
Place_Keyword: Kansas
Place_Keyword: Kentucky
Place_Keyword: Louisiana
Place_Keyword: Maine
Place_Keyword: Maryland
Place_Keyword: Massachusetts
Place_Keyword: Michigan
Place_Keyword: Minnesota
Place_Keyword: Mississippi
Place_Keyword: Missouri
Place_Keyword: Montana
Place_Keyword: Nebraska
Place_Keyword: Nevada
Place_Keyword: New Hampshire
Place_Keyword: New Jersey
Place_Keyword: New Mexico
Place_Keyword: New York
Place_Keyword: North Carolina
Place_Keyword: North Dakota
Place_Keyword: Ohio
Place_Keyword: Oklahoma
Place_Keyword: Oregon
Place_Keyword: Pennsylvania
Place_Keyword: Rhode Island
Place_Keyword: South Carolina
Place_Keyword: South Dakota
Place_Keyword: Tennessee
Place_Keyword: Texas
Place_Keyword: Utah
Place_Keyword: Vermont
Place_Keyword: Virginia
Place_Keyword: Washington
Place_Keyword: West Virginia
Place_Keyword: Wisconsin
Place_Keyword: Wyoming
Place_Keyword_Thesaurus: ISO
Access_Constraints: none
Use_Constraints: none
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 and physical address
Address: 1400 Independence Avenue, SW, Room 5029 South Building
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-2001
Country: USA
Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@nass.usda.gov
Data_Set_Credit: USDA, National Agricultural Statistics Service
Security_Information:
Security_Classification_System: None
Security_Classification: Unclassified
Security_Handling_Description: None
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
USDA, National Agricultural Statistics Service, 2017 CROP FREQUENCY LAYERS FOR CORN, COTTON, SOYBEANS AND WHEAT
BASED ON THE 2008-2017 CROPLAND DATA LAYERS (10 YEARS OF DATA)
NATIONAL ACCURACY REPORTS


CORN
Cover                   Attribute     *Correct  Producer's  Omission             User's Commission   Cond'l
Type                         Code       Pixels    Accuracy     Error   Kappa   Accuracy      Error    Kappa
----                         ----     --------   ---------     -----   -----   --------    -------    -----
Planted 1 time in 10 years       1   2,851,150       81.5%     18.5%   0.806      76.6%      23.4%    0.756
Planted 2 times in 10 years      2   2,489,620       75.0%     25.0%   0.740      76.8%      23.2%    0.759
Planted 3 times in 10 years      3   3,154,930       76.3%     23.7%   0.750      75.8%      24.2%    0.745
Planted 4 times in 10 years      4   4,592,600       71.4%     28.6%   0.692      75.6%      24.4%    0.735
Planted 5 times in 10 years      5  22,458,300       92.8%      7.2%   0.898      92.4%       7.6%    0.893
Planted 6 times in 10 years      6   5,182,310       88.1%     11.9%   0.871      82.0%      18.0%    0.807
Planted 7 times in 10 years      7   3,350,840       90.8%      9.2%   0.904      88.3%      11.7%    0.877
Planted 8 times in 10 years      8   2,139,450       90.9%      9.1%   0.906      89.6%      10.4%    0.893
Planted 9 times in 10 years      9   1,420,800       91.5%      8.5%   0.914      89.2%      10.8%    0.889
Planted 10 times in 10 years    10   1,618,060       92.7%      7.3%   0.926      97.2%       2.8%    0.972


COTTON
Cover                   Attribute     *Correct  Producer's  Omission             User's Commission   Cond'l
Type                         Code       Pixels    Accuracy     Error   Kappa   Accuracy      Error    Kappa
----                         ----     --------   ---------     -----   -----   --------    -------    -----
Planted 1 time in 10 years       1     508,724       85.3%     14.7%   0.851      71.7%      28.3%    0.715
Planted 2 times in 10 years      2     287,218       82.4%     17.6%   0.823      76.6%      23.4%    0.765
Planted 3 times in 10 years      3     205,637       77.1%     22.9%   0.771      78.5%      21.5%    0.785
Planted 4 times in 10 years      4     171,653       77.3%     22.7%   0.772      78.8%      21.2%    0.787
Planted 5 times in 10 years      5     144,900       75.5%     24.5%   0.755      81.6%      18.4%    0.816
Planted 6 times in 10 years      6      83,218       72.4%     27.6%   0.723      74.7%      25.3%    0.747
Planted 7 times in 10 years      7      68,093       75.8%     24.2%   0.758      73.4%      26.6%    0.734
Planted 8 times in 10 years      8      63,444       73.6%     26.4%   0.736      76.2%      23.8%    0.762
Planted 9 times in 10 years      9      65,157       81.2%     18.8%   0.812      74.8%      25.2%    0.748
Planted 10 times in 10 years    10      83,309       84.6%     15.4%   0.846      94.0%       6.0%    0.940


SOYBEANS
Cover                   Attribute     *Correct  Producer's  Omission             User's Commission   Cond'l
Type                         Code       Pixels    Accuracy     Error   Kappa   Accuracy      Error    Kappa
----                         ----     --------   ---------     -----   -----   --------    -------    -----
Planted 1 time in 10 years       1   2,708,280       82.4%     17.6%   0.817      80.5%      19.5%    0.797
Planted 2 times in 10 years      2   3,152,830       83.2%     16.8%   0.823      82.7%      17.3%    0.819
Planted 3 times in 10 years      3   4,444,500       83.1%     16.9%   0.819      83.9%      16.1%    0.828
Planted 4 times in 10 years      4   6,749,700       77.5%     22.5%   0.750      81.4%      18.6%    0.792
Planted 5 times in 10 years      5  23,304,500       92.4%      7.6%   0.890      92.1%       7.9%    0.887
Planted 6 times in 10 years      6   3,314,860       80.6%     19.4%   0.795      74.8%      25.2%    0.735
Planted 7 times in 10 years      7   1,376,320       78.3%     21.7%   0.778      74.0%      26.0%    0.734
Planted 8 times in 10 years      8     595,841       71.9%     28.1%   0.716      68.1%      31.9%    0.677
Planted 9 times in 10 years      9     375,128       76.4%     23.6%   0.762      66.4%      33.6%    0.662
Planted 10 times in 10 years    10     395,978       84.7%     15.3%   0.847      79.8%      20.2%    0.797


WHEAT
Cover                   Attribute     *Correct  Producer's  Omission             User's Commission   Cond'l
Type                         Code       Pixels    Accuracy     Error   Kappa   Accuracy      Error    Kappa
----                         ----     --------   ---------     -----   -----   --------    -------    -----
Planted 1 time in 10 years       1   4,273,550       85.0%     15.0%   0.840      83.8%      16.2%    0.827
Planted 2 times in 10 years      2   2,808,440       70.0%     30.0%   0.686      78.9%      21.1%    0.779
Planted 3 times in 10 years      3   3,037,660       68.9%     31.1%   0.672      71.8%      28.2%    0.702
Planted 4 times in 10 years      4   2,953,780       66.4%     33.6%   0.645      67.4%      32.6%    0.656
Planted 5 times in 10 years      5   6,073,010       87.1%     12.9%   0.859      81.5%      18.5%    0.798
Planted 6 times in 10 years      6   1,659,160       73.1%     26.9%   0.723      71.0%      29.0%    0.702
Planted 7 times in 10 years      7   1,086,900       71.9%     28.1%   0.714      69.0%      31.0%    0.685
Planted 8 times in 10 years      8     723,784       58.5%     41.5%   0.579      62.3%      37.7%    0.617
Planted 9 times in 10 years      9     716,911       67.9%     32.1%   0.675      63.7%      36.3%    0.632
Planted 10 times in 10 years    10   1,776,160       90.2%      9.8%   0.899      78.8%      21.2%    0.782


*Correct Pixels represents the total number of independent validation pixels correctly identified in the error matrix.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value:
The Crop Frequency Layer is based on the Cropland Data Layer (CDL). The classification accuracy of the original CDLs 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.
Attribute_Accuracy_Explanation:
The accuracy assessment of the Crop Frequency Layers use the entire FSA CLU data (agricultural categories) that was used in the training and validation of the original Cropland Data Layers (CDL). Only FSA data that exists in all 10 years (2008-2017) is used for validating the Crop Frequency Layers. See the 'Attribute Accuracy Report' section of this metadata file for the full accuracy report.
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.
Logical_Consistency_Report:
The 2017 Crop Frequency Layer is based on the 2008-2017 Cropland Data Layers (CDLs). The CDL data are produced using training and independent validation data from the Farm Service Agency (FSA) Common Land Unit (CLU) Program (agricultural data) and the most recent version of the United States Geological Survey (USGS) National Land Cover Database (NLCD). More information about the FSA CLU Program can be found at <https://www.fsa.usda.gov/>. More information about the NLCD can be found at <https://www.mrlc.gov/>.
Completeness_Report: The data encompasses the Continental United States.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The Crop Frequency Layer is based on the 2008-2017 USDA, NASS Cropland Data Layers (CDL). The CDL retains the spatial attributes of the input imagery. Please check the metadata <https://www.nass.usda.gov/Research_and_Science/Cropland/metadata/meta.php> for the state/year you are interested in for a detailed list of what sensors were used in the production of the Cropland Data Layer.
The Landsat input imagery is 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 DEIMOS-1 and DMC-UK 2 imagery used in the production of the Cropland Data Layer is orthorectified to a radial root mean square error (RMSE) of approximately 10 meters. 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_Information:
Source_Citation:
Citation_Information:
Originator:
United State Department of Agriculture (USDA), National Agricultural Statistics Service (NASS)
Title: Cropland Data Layer
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publisher: USDA, NASS
Publication_Place: Washington D.C.
Publication_Date: 2017
Other_Citation_Details:
Visit CropScape <https://nassgeodata.gmu.edu/CropScape/> or <https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php> for more information.
The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS), and the Disaster Monitoring Constellation (DMC) DEIMOS-1 and UK2 sensors 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 imperviousness and canopy data layers from the most current version of the USGS National Land Cover Database (NLCD), 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 is used as non-agricultural training and validation data.
The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer.
Source_Scale_Denominator: 30 meter
Type_of_Source_Media: online download
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2008
Ending_Date: 2017
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: CDL
Source_Contribution: Land cover information used to identify planting frequency
Process_Step:
Process_Description:
OVERVIEW: The 2017 Crop Frequency Layer is based on the 2008-2017 Cropland Data Layers (CDL). Currently, there are four separate data layers representing four major crop types: corn, cotton, soybeans and wheat. The list below shows the input CDL crop codes for each of the four crop types. In cases of double cropping, the crop is included in both crop type categories.
CROP_TYPE CDL_CODES
Corn           1,225,226,237,241
Soybeans       5,26,239,240,241,254
Wheat          22,23,24,26,225,230,234,236,238
Cotton         2,232,238,239
An Erdas Imagine Spatial Model is used to recode the original CDLs to represent only the crop of interest and then the individual years of crop-specific CDLs are added together to calculate a planting frequency count per pixel. The 2017 Crop Frequency Layers have the following attributes:
CODE   CLASS_NAME
0	No Data/Background
1	Planted 1 time in 10 years
2	Planted 2 times in 10 years
3	Planted 3 times in 10 years
4	Planted 4 times in 10 years
5	Planted 5 times in 10 years
6	Planted 6 times in 10 years
7	Planted 7 times in 10 years
8	Planted 8 times in 10 years
9	Planted 9 times in 10 years
10	Planted 10 times in 10 years
15      Planted 0 times in 10 years
For a more detailed description of the Crop Frequency Layer please reference refer to the following: C.G. Boryan.; Z. Yang.; P. Willis, "US Geospatial Crop Frequency Data Layers," Proc. Of the Third International Conference on Agro-geoinformatics (Agro-geoinformatics 2014), August 11-14 2014, Beijing, China, DOI:10.1109/Agro-Geoinformatics.2014.6910657.
ACCURACY: The accuracy assessment of the Crop Frequency Layers use the entire FSA CLU data (agricultural categories) that was used in the training and validation of the original 2008-2017 Cropland Data Layers (CDL). Only FSA data that exists in all 10 years is used for validating the Crop Frequency Layers. The Crop Frequency Layer validation is prepared using the same processing steps as described above. See the 'Attribute Accuracy Report' section of this metadata file for the full accuracy report.
PUBLIC RELEASE: The Crop Frequency Layer is considered public domain and free to redistribute. The data can also be viewed and downloaded at CropScape <https://nassgeodata.gmu.edu/CropScape/>. Please note that in no case are farmer reported data revealed or derivable from the public use Crop Frequency Layer or Cropland Data Layer.
Process_Date: 2017
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 and physical address
Address: 1400 Independence Avenue, SW, Room 5029 South Building
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-2001
Country: USA
Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@nass.usda.gov
Spatial_Data_Organization_Information:
Indirect_Spatial_Reference: United States of America
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Row_Count: 96523
Column_Count: 153811
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers 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: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 30.000000
Ordinate_Resolution: 30.000000
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
The Crop Frequency Layer is created using historical land cover products from the Cropland Data Layer (CDL). The 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 most current version of the United States Geological Survey (USGS) National Land Cover Database (NLCD). 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:
 Data Dictionary: USDA, National Agricultural Statistics Service, 2017 Crop Frequency Layer

 Source: USDA, National Agricultural Statistics Service

 Raster
 Attribute Domain Values and Definitions: CROP FREQUENCY

 Categorization Code   Land Cover
      "0"	No Data/Background
      "1"	Planted 1 time in 10 years
      "2"	Planted 2 times in 10 years
      "3"	Planted 3 times in 10 years
      "4"	Planted 4 times in 10 years
      "5"	Planted 5 times in 10 years
      "6"	Planted 6 times in 10 years
      "7"	Planted 7 times in 10 years
      "8"	Planted 8 times in 10 years
      "9"	Planted 9 times in 10 years
      "10"	Planted 10 times in 10 years
      "15"      Planted 0 times in 10 years
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 and physical 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: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@nass.usda.gov
Contact_Instructions:
Please visit the official website <https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php> for distribution details.
Resource_Description: 2017 Crop Frequency Layer
Distribution_Liability:
Disclaimer: Users of this data are solely responsible for interpretations made from these products. The data is provided 'as is' and the USDA, NASS does not warrant results you may obtain using the data. Contact our staff at (HQ_RDD_GIB@nass.usda.gov) if technical questions arise. NASS does maintain a Frequently Asked Questions (FAQ's) section on the CDL website at <https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Geotiff (.tif)
Transfer_Size: 300
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: <https://nassgeodata.gmu.edu/CropScape/>
Access_Instructions:
The data are available free for download at <https://nassgeodata.gmu.edu/CropScape/> in a compressed Winzip file.
Fees:
Free for public download at CropScape <https://nassgeodata.gmu.edu/CropScape/>
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 CropScape website <https://nassgeodata.gmu.edu/CropScape/> or using the freeware browser ESRI ArcGIS Explorer <http://www.esri.com/>.
Metadata_Reference_Information:
Metadata_Date: 20180130
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 and physical address
Address: 1400 Independence Avenue, SW, Room 5029 South Building
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-2001
Country: USA
Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@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 2.9.44 on Fri Apr 13 10:33:23 2018