2022 Crop Frequency Layers

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator:
United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS)
Publication_Date: 20230130
Title: 2022 Crop Frequency Layers
Edition: 2022 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 at CroplandCROS <https://croplandcros.scinet.usda.gov/> and free for download at <https://www.nass.usda.gov/Research_and_Science/Cropland/Release/>. NASS maintains a Frequently Asked Questions (FAQ's) at <https://www.nass.usda.gov/Research_and_Science/Cropland/sarsfaqs2.php>.
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator:
United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS)
Publication_Date: 20230130
Title: 2022 Cropland Data Layer
Edition: 2022 Edition
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Washington, District of Columbia 20250-9410 USA
Publisher: USDA NASS
Other_Citation_Details:
For more technical details, FAQs, metadata and download links please visit <https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>. The parent dataset, the Cropland Data Layer, is available free for download through CroplandCROS <https://croplandcros.scinet.usda.gov/>
Online_Linkage: <https://croplandcros.scinet.usda.gov/>
Description:
Abstract:
The 2022 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 2022 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 Layers 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 Layers are to improve NASS Area Frame stratification and sub-stratification.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20211001
Ending_Date: 20221230
Currentness_Reference: 2022 growing season
Status:
Progress: Complete
Maintenance_and_Update_Frequency: annual updates
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: crop estimates
Theme_Keyword: ISRO ResourceSat-2 LISS-3
Theme_Keyword: ESA SENTINEL-2
Theme_Keyword: Landsat
Theme_Keyword: CroplandCROS
Place:
Place_Keyword_Thesaurus: Global Change Master Directory (GCMD) Location Keywords
Place_Keyword: Continent > North America > United States of America
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: United States
Place_Keyword: USA
Place_Keyword: CONUS
Temporal:
Temporal_Keyword_Thesaurus: None
Temporal_Keyword: 2022
Access_Constraints: none
Use_Constraints:
The Crop Frequency Layers are 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.
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: SM.NASS.RDD.GIB@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:
If the following table does not display properly, then please visit the CDL Metadata webpage at <https://www.nass.usda.gov/Research_and_Science/Cropland/metadata/meta.php> to view the original file.
USDA National Agricultural Statistics Service, 2022 Crop Frequency Layers
STATEWIDE AGRICULTURAL ACCURACY REPORT

Crop-specific covers only               *Correct   Accuracy      Error      Kappa
-------------------------                -------   --------     ------      -----
CORN OVERALL ACCURACY**               51,239,843      87.1%      12.9%      0.851
COTTON OVERALL ACCURACY**             58,428,395      99.4%       0.6%      0.855
SOYBEANS OVERALL ACCURACY**           51,368,200      87.4%      12.6%      0.849
WHEAT OVERALL ACCURACY**              52,862,690      89.9%      10.1%      0.822

CORN
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1  1,565,720      81.9%      18.1%      0.813      75.5%      24.5%      0.746
Two Years                           2  1,236,400      76.6%      23.4%      0.760      76.6%      23.4%      0.759
Three Years                         3  1,177,860      73.2%      26.8%      0.725      73.9%      26.1%      0.731
Four Years                          4  1,312,340      69.1%      30.9%      0.681      72.4%      27.6%      0.714
Five Years                          5  1,729,420      74.2%      25.8%      0.731      71.7%      28.3%      0.705
Six Years                           6  2,307,700      68.9%      31.1%      0.671      72.9%      27.1%      0.713
Seven Years                         7  9,392,540      86.7%      13.3%      0.837      87.9%      12.1%      0.851
Eight Years                         8  9,939,570      90.7%       9.3%      0.885      88.8%      11.2%      0.862
Nine Years                          9  2,827,780      85.5%      14.5%      0.846      80.9%      19.1%      0.797
Ten Years                          10  2,204,470      88.6%      11.4%      0.881      87.0%      13.0%      0.864
Eleven Years                       11  1,454,310      88.5%      11.5%      0.882      87.3%      12.7%      0.869
Twelve Years                       12  1,002,970      89.2%      10.8%      0.889      88.1%      11.9%      0.879
Thirteen Year                      13    702,456      88.3%      11.7%      0.882      88.5%      11.5%      0.883
Fourteen Year                      14    563,784      89.9%      10.1%      0.898      88.5%      11.5%      0.883
Fifteen Years                      15    650,223      91.8%       8.2%      0.917      96.6%       3.4%      0.966

COTTON
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1    237,659      83.5%      16.5%      0.834      70.3%      29.7%      0.701
Two Years                           2    156,135      80.0%      20.0%      0.800      77.1%      22.9%      0.770
Three Years                         3    113,325      75.0%      25.0%      0.749      76.7%      23.3%      0.766
Four Years                          4     91,496      76.3%      23.7%      0.762      75.8%      24.2%      0.757
Five Years                          5     78,564      75.3%      24.7%      0.753      76.5%      23.5%      0.765
Six Years                           6     69,333      75.0%      25.0%      0.749      73.3%      26.7%      0.732
Seven Years                         7     56,627      72.1%      27.9%      0.720      74.8%      25.2%      0.748
Eight Years                         8     49,095      71.8%      28.2%      0.718      78.7%      21.3%      0.786
Nine Years                          9     27,989      70.1%      29.9%      0.701      69.5%      30.5%      0.695
Ten Years                          10     24,019      73.7%      26.3%      0.737      69.3%      30.7%      0.693
Eleven Years                       11     24,683      72.9%      27.1%      0.729      76.5%      23.5%      0.764
Twelve Years                       12     15,593      74.6%      25.4%      0.746      70.3%      29.7%      0.703
Thirteen Year                      13     15,911      73.8%      26.2%      0.738      78.2%      21.8%      0.782
Fourteen Year                      14     14,312      80.2%      19.8%      0.802      72.4%      27.6%      0.723
Fifteen Years                      15     30,754      86.4%      13.6%      0.863      97.4%       2.6%      0.974

SOYBEANS
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1  1,302,650      80.9%      19.1%      0.803      77.3%      22.7%      0.767
Two Years                           2  1,238,520      80.2%      19.8%      0.797      80.0%      20.0%      0.794
Three Years                         3  1,502,940      80.5%      19.5%      0.799      81.4%      18.6%      0.808
Four Years                          4  1,999,720      81.0%      19.0%      0.801      82.1%      17.9%      0.814
Five Years                          5  2,792,070      82.7%      17.3%      0.816      82.6%      17.4%      0.815
Six Years                           6  3,728,430      76.7%      23.3%      0.747      79.9%      20.1%      0.781
Seven Years                         7 10,993,000      87.5%      12.5%      0.842      88.4%      11.6%      0.853
Eight Years                         8  9,168,180      89.1%      10.9%      0.868      87.8%      12.2%      0.852
Nine Years                          9  1,420,700      74.3%      25.7%      0.733      68.9%      31.1%      0.679
Ten Years                          10    860,602      75.7%      24.3%      0.752      72.2%      27.8%      0.716
Eleven Years                       11    421,564      69.8%      30.2%      0.694      66.9%      33.1%      0.666
Twelve Years                       12    259,698      67.2%      32.8%      0.670      64.0%      36.0%      0.638
Thirteen Year                      13    194,145      65.4%      34.6%      0.653      63.7%      36.3%      0.635
Fourteen Year                      14    160,438      72.8%      27.2%      0.727      64.7%      35.3%      0.646
Fifteen Years                      15    182,543      83.6%      16.4%      0.835      77.5%      22.5%      0.774

WHEAT
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1  2,653,830      85.6%      14.4%      0.848      79.7%      20.3%      0.785
Two Years                           2  1,582,440      78.0%      22.0%      0.773      79.4%      20.6%      0.787
Three Years                         3  1,260,700      68.9%      31.1%      0.680      74.9%      25.1%      0.741
Four Years                          4  1,190,530      58.0%      42.0%      0.567      68.5%      31.5%      0.673
Five Years                          5  1,423,780      66.9%      33.1%      0.656      63.2%      36.8%      0.619
Six Years                           6  1,081,720      62.4%      37.6%      0.612      61.4%      38.6%      0.602
Seven Years                         7  2,118,390      80.8%      19.2%      0.799      76.9%      23.1%      0.758
Eight Years                         8  1,715,520      84.1%      15.9%      0.835      80.2%      19.8%      0.795
Nine Years                          9    537,393      71.2%      28.8%      0.708      67.5%      32.5%      0.671
Ten Years                          10    479,671      73.7%      26.3%      0.734      70.8%      29.2%      0.704
Eleven Years                       11    290,549      69.3%      30.7%      0.691      64.8%      35.2%      0.646
Twelve Years                       12    198,478      65.9%      34.1%      0.657      60.3%      39.7%      0.601
Thirteen Year                      13    166,171      55.7%      44.3%      0.555      60.5%      39.5%      0.603
Fourteen Year                      14    132,639      64.1%      35.9%      0.640      60.0%      40.0%      0.599
Fifteen Years                      15    261,979      86.4%      13.6%      0.863      67.5%      32.5%      0.674

*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 Layers are 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 years (2008-2022) 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 2022 Crop Frequency Layers are based on the 2008-2022 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 Cropland Data Layer and Crop Frequency Layers retain the spatial attributes of the input imagery. The Landsat 8 and 9 OLI/TIRS imagery is obtained via download from the USGS Global Visualization Viewer <https://glovis.usgs.gov/> using the Collection 2 Level-1 specifications. Please reference the metadata on the Glovis website for the positional accuracy of each Landsat scene. The Sentinel 2A and 2B imagery is obtained via download from the Copernicus Open Access Hub <https://scihub.copernicus.eu/> using the S2MSI1C product type which is orthorectified Top-of-Atmosphere reflectance. Please reference the metadata on the Copernicus website for positional accuracy details.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS)
Publication_Date: 20230130
Title: 2022 Cropland Data Layer
Edition: 2022 Edition
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Washington, District of Columbia 20250-9410 USA
Publisher: USDA NASS
Other_Citation_Details:
Visit CroplandCROS <https://croplandcros.scinet.usda.gov/> 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 moderate spatial resolution satellite imagery which in the past has included the following: Landsat 5 TM, Landsat 7 ETM+, Landsat 8 and 9 OLI/TIRS, the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS), the Disaster Monitoring Constellation (DMC) DEIMOS-1 and UK2 sensors, ISRO ResourceSat-2 LISS-3, and ESA SENTINEL-2A and -2B sensors. 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: 2022
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: CDL
Source_Contribution: Land cover information used to identify planting history
Process_Step:
Process_Description:
OVERVIEW: The 2022 Crop Frequency Layers are based on the 2008-2022 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           1,225,226,228,237,241
Cotton         2,232,238,239
Soybeans       5,26,239,240,241,254
Wheat          22,23,24,26,225,230,234,236,238
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 2021 Crop Frequency Layers have the following attributes:
CODE   CLASS_NAME
0	Planted 0 times in 15 years
1	Planted 1 time in 15 years
2	Planted 2 times in 15 years
3	Planted 3 times in 15 years
4	Planted 4 times in 15 years
5	Planted 5 times in 15 years
6	Planted 6 times in 15 years
7	Planted 7 times in 15 years
8	Planted 8 times in 15 years
9	Planted 9 times in 15 years
10	Planted 10 times in 15 years
11	Planted 11 times in 15 years
12	Planted 12 times in 15 years
13	Planted 13 times in 15 years
14	Planted 14 times in 15 years
15	Planted 15 times in 15 years
255    No Data/Background
For a more detailed description of the Crop Frequency Layers 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 2008-2022 Cropland Data Layers (CDL). Only FSA data that exists in all 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 Layers are considered public domain and free to redistribute. The data can be viewed at CroplandCROS <https://croplandcros.scinet.usda.gov/> and downloaded at <https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php>. Please note that in no case are farmer reported data revealed or derivable from the public use Crop Frequency Layers or Cropland Data Layer.
Process_Date: 2022
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: SM.NASS.RDD.GIB@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 Layers are 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, Crop Frequency Layers

 Source: USDA National Agricultural Statistics Service

 Raster
 Attribute Domain Values and Definitions: CROP FREQUENCY

 Categorization Code   Land Cover
      "0"	Planted 0 times in 15 years
      "1"	Planted 1 time in 15 years
      "2"	Planted 2 times in 15 years
      "3"	Planted 3 times in 15 years
      "4"	Planted 4 times in 15 years
      "5"	Planted 5 times in 15 years
      "6"	Planted 6 times in 15 years
      "7"	Planted 7 times in 15 years
      "8"	Planted 8 times in 15 years
      "9"	Planted 9 times in 15 years
      "10"	Planted 10 times in 15 years
      "11"	Planted 11 times in 15 years
      "12"	Planted 12 times in 15 years
      "13"	Planted 13 times in 15 years
      "14"	Planted 14 times in 15 years
      "15"	Planted 15 times in 15 years
      "255"      No Data/Background
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: SM.NASS.RDD.GIB@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: 2022 Crop Frequency Layers
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 (SM.NASS.RDD.GIB@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
Format_Version_Date: 2022
Format_Information_Content: GEOTIFF
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
<https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>
Access_Instructions:
The Crop Frequency Layers are available free for download at the official website <https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>. The CDL is available online and free for download at CroplandCROS <https://croplandcros.scinet.usda.gov/> and the Geospatial Data Gateway <https://datagateway.nrcs.usda.gov/>.
Fees:
The Crop Frequency Layers are available free for download at the official website <https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>. The CDL is available online and free for download at CroplandCROS <https://croplandcros.scinet.usda.gov/>, the Geospatial Data Gateway <https://datagateway.nrcs.usda.gov/>, and the NASS CDL website <https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>. Distribution questions can be directed to the NASS Customer Service Hotline at 1-800-727-9540.
Ordering_Instructions:
The Crop Frequency Layers are available free for download at the official website <https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>. The CDL is available online and free for download at CroplandCROS <https://croplandcros.scinet.usda.gov/>, the Geospatial Data Gateway <https://datagateway.nrcs.usda.gov/>, and the NASS CDL website <https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>. Distribution questions can be directed to the NASS Customer Service Hotline at 1-800-727-9540.
Technical_Prerequisites:
If the user does not have software capable of viewing GEOTIF (.tif) or ERDAS Imagine (.img) file formats then we suggest using CroplandCROS <https://croplandcros.scinet.usda.gov/>.
Metadata_Reference_Information:
Metadata_Date: 20230130
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: SM.NASS.RDD.GIB@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

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