2023 Crop Frequency Layers

Identification_Information:

Citation:

Citation_Information:

Originator:

United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS)

Publication_Date: 20240131
Title: 2023 Crop Frequency Layers
Edition: 2023 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:

<https://www.nass.usda.gov/Research_and_Science/Cropland/Release/>

Larger_Work_Citation:

Citation_Information:

Originator:

United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS)

Publication_Date: 20240131
Title: 2023 Cropland Data Layer
Edition: 2023 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 2023 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 2023 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: 20221001
Ending_Date: 20231230

Currentness_Reference: 2023 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: 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: 2023

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, 2023 Crop Frequency Layers
STATEWIDE AGRICULTURAL ACCURACY REPORT

Crop-specific covers only               *Correct   Accuracy      Error      Kappa
-------------------------                -------   --------     ------      -----
CORN OVERALL ACCURACY                 48,519,827      86.8%      13.2%      0.845
COTTON OVERALL ACCURACY               55,544,118      99.4%       0.6%      0.852
SOYBEANS OVERALL ACCURACY             48,617,237      87.0%      13.0%      0.842
WHEAT OVERALL ACCURACY                50,346,579      90.1%       9.9%      0.823

CORN
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1  1,379,230      81.6%      18.4%      0.810      75.3%      24.7%      0.745
Two Years                           2  1,108,940      77.8%      22.2%      0.772      76.7%      23.3%      0.761
Three Years                         3  1,027,340      73.3%      26.7%      0.726      74.3%      25.7%      0.736
Four Years                          4  1,138,460      70.5%      29.5%      0.696      72.7%      27.3%      0.719
Five Years                          5  1,366,200      71.3%      28.7%      0.703      71.5%      28.5%      0.705
Six Years                           6  1,672,660      72.6%      27.4%      0.714      71.2%      28.8%      0.699
Seven Years                         7  3,066,850      69.3%      30.7%      0.669      76.0%      24.0%      0.740
Eight Years                         8 14,464,900      91.9%       8.1%      0.887      90.7%       9.3%      0.871
Nine Years                          9  3,638,960      84.3%      15.7%      0.830      80.6%      19.4%      0.789
Ten Years                          10  2,313,510      87.1%      12.9%      0.865      84.5%      15.5%      0.837
Eleven Years                       11  1,769,890      88.2%      11.8%      0.877      87.4%      12.6%      0.870
Twelve Years                       12  1,163,740      88.8%      11.2%      0.885      86.5%      13.5%      0.862
Thirteen Year                      13    849,623      88.7%      11.3%      0.885      88.7%      11.3%      0.886
Fourteen Year                      14    582,849      88.0%      12.0%      0.879      88.2%      11.8%      0.881
Fifteen Years                      15    496,223      90.0%      10.0%      0.899      88.4%      11.6%      0.882
Sixteen Years                      16    556,152      91.6%       8.4%      0.916      96.9%       3.1%      0.968

COTTON
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1    204,489      82.1%      17.9%      0.820      69.2%      30.8%      0.691
Two Years                           2    139,008      79.5%      20.5%      0.794      77.0%      23.0%      0.770
Three Years                         3     97,855      76.3%      23.7%      0.763      76.5%      23.5%      0.764
Four Years                          4     77,080      76.9%      23.1%      0.769      76.1%      23.9%      0.761
Five Years                          5     61,780      73.0%      27.0%      0.729      72.9%      27.1%      0.728
Six Years                           6     64,635      73.7%      26.3%      0.736      75.2%      24.8%      0.752
Seven Years                         7     55,691      73.8%      26.2%      0.737      74.1%      25.9%      0.741
Eight Years                         8     50,077      72.3%      27.7%      0.723      79.0%      21.0%      0.790
Nine Years                          9     29,105      70.9%      29.1%      0.709      70.4%      29.6%      0.704
Ten Years                          10     20,891      69.3%      30.7%      0.693      67.0%      33.0%      0.670
Eleven Years                       11     20,860      71.5%      28.5%      0.715      73.3%      26.7%      0.733
Twelve Years                       12     18,276      74.7%      25.3%      0.747      73.8%      26.2%      0.738
Thirteen Year                      13     13,005      73.8%      26.2%      0.738      71.6%      28.4%      0.716
Fourteen Year                      14     13,602      75.4%      24.6%      0.754      77.2%      22.8%      0.772
Fifteen Years                      15     12,862      78.0%      22.0%      0.780      72.9%      27.1%      0.729
Sixteen Years                      16     26,802      85.7%      14.3%      0.857      96.5%       3.5%      0.965

SOYBEANS
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1  1,156,540      81.0%      19.0%      0.805      77.0%      23.0%      0.764
Two Years                           2  1,044,520      79.5%      20.5%      0.790      79.5%      20.5%      0.790
Three Years                         3  1,291,650      80.5%      19.5%      0.800      81.4%      18.6%      0.808
Four Years                          4  1,632,670      80.7%      19.3%      0.799      81.5%      18.5%      0.808
Five Years                          5  2,271,660      82.1%      17.9%      0.811      82.6%      17.4%      0.817
Six Years                           6  2,902,780      81.0%      19.0%      0.798      81.4%      18.6%      0.801
Seven Years                         7  4,690,000      75.7%      24.3%      0.729      80.4%      19.6%      0.780
Eight Years                         8 15,077,800      91.6%       8.4%      0.880      90.5%       9.5%      0.866
Nine Years                          9  2,216,250      76.5%      23.5%      0.752      72.8%      27.2%      0.713
Ten Years                          10    997,112      74.4%      25.6%      0.737      70.9%      29.1%      0.702
Eleven Years                       11    601,297      72.7%      27.3%      0.723      70.6%      29.4%      0.701
Twelve Years                       12    321,638      68.8%      31.2%      0.685      65.0%      35.0%      0.647
Thirteen Year                      13    210,118      65.4%      34.6%      0.652      63.3%      36.7%      0.631
Fourteen Year                      14    163,144      65.0%      35.0%      0.648      63.1%      36.9%      0.629
Fifteen Years                      15    139,790      72.5%      27.5%      0.724      63.9%      36.1%      0.638
Sixteen Years                      16    166,468      83.4%      16.6%      0.833      78.6%      21.4%      0.785

WHEAT
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1  2,560,330      85.6%      14.4%      0.848      80.5%      19.5%      0.794
Two Years                           2  1,464,680      78.9%      21.1%      0.782      79.0%      21.0%      0.783
Three Years                         3  1,112,000      70.7%      29.3%      0.699      75.4%      24.6%      0.747
Four Years                          4  1,056,580      60.1%      39.9%      0.590      70.2%      29.8%      0.693
Five Years                          5  1,226,270      64.1%      35.9%      0.628      64.3%      35.7%      0.631
Six Years                           6    966,271      62.5%      37.5%      0.614      59.7%      40.3%      0.586
Seven Years                         7  1,006,100      65.7%      34.3%      0.647      63.8%      36.2%      0.627
Eight Years                         8  2,638,240      88.2%      11.8%      0.875      84.3%      15.7%      0.835
Nine Years                          9    564,334      72.3%      27.7%      0.719      67.5%      32.5%      0.671
Ten Years                          10    427,583      71.6%      28.4%      0.712      69.5%      30.5%      0.692
Eleven Years                       11    355,043      73.5%      26.5%      0.732      69.8%      30.2%      0.696
Twelve Years                       12    213,504      67.2%      32.8%      0.670      63.1%      36.9%      0.629
Thirteen Year                      13    159,218      65.6%      34.4%      0.655      61.4%      38.6%      0.613
Fourteen Year                      14    119,834      53.4%      46.6%      0.533      58.2%      41.8%      0.581
Fifteen Years                      15    100,614      63.4%      36.6%      0.633      58.3%      41.7%      0.582
Sixteen Years                      16    207,978      85.9%      14.1%      0.858      66.8%      33.2%      0.666

*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 (2008-2023) 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 2023 Crop Frequency Layers are based on the 2008-2023 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: 20240131
Title: 2023 Cropland Data Layer
Edition: 2023 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: 2023

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 2023 Crop Frequency Layers are based on the 2008-2023 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 2023 Crop Frequency Layers have the following attributes:

CODE   CLASS_NAME
0	No Data/Background
1	Planted 1 time in 16 years
2	Planted 2 times in 16 years
3	Planted 3 times in 16 years
4	Planted 4 times in 16 years
5	Planted 5 times in 16 years
6	Planted 6 times in 16 years
7	Planted 7 times in 16 years
8	Planted 8 times in 16 years
9	Planted 9 times in 16 years
10	Planted 10 times in 16 years
11	Planted 11 times in 16 years
12	Planted 12 times in 16 years
13	Planted 13 times in 16 years
14	Planted 14 times in 16 years
15	Planted 15 times in 16 years
16	Planted 16 times in 16 years
255    Planted 0 times in 16 years

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 2008-2023 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: 2023
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:

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"	No Data/Background
      "1"	Planted 1 time in 16 years
      "2"	Planted 2 times in 16 years
      "3"	Planted 3 times in 16 years
      "4"	Planted 4 times in 16 years
      "5"	Planted 5 times in 16 years
      "6"	Planted 6 times in 16 years
      "7"	Planted 7 times in 16 years
      "8"	Planted 8 times in 16 years
      "9"	Planted 9 times in 16 years
      "10"	Planted 10 times in 16 years
      "11"	Planted 11 times in 16 years
      "12"	Planted 12 times in 16 years
      "13"	Planted 13 times in 16 years
      "14"	Planted 14 times in 16 years
      "15"	Planted 15 times in 16 years
      "16"	Planted 15 times in 16 years
      "255"      Planted 0 times in 16 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: 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: 2023 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: 2023
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:

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:

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/>.

2023 Crop Frequency Layers

Metadata: