2024 Crop Frequency Layers

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator:
United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS)
Publication_Date: 20250227
Title: 2024 Crop Frequency Layers
Edition: 2024 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: 20250227
Title: 2024 Cropland Data Layer
Edition: 2024 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 2024 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 2024 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. The 2024 CDL has a 10-meter spatial resolution, however in order to maintain consistency with historical data the 2024 Crop Frequency Layers are based on a 30-meter resampled version of 2024 CDL. 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: 20231001
Ending_Date: 20241230
Currentness_Reference: 2024 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: 2024
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, 2024 Crop Frequency Layers
STATEWIDE AGRICULTURAL ACCURACY REPORT

Crop-specific covers only               *Correct   Accuracy      Error      Kappa
-------------------------                -------   --------     ------      -----
CORN OVERALL ACCURACY                 45,832,971      86.2%      13.8%      0.842
COTTON OVERALL ACCURACY               52,809,136      99.4%       0.6%      0.843
SOYBEANS OVERALL ACCURACY             45,924,662      86.4%      13.6%      0.840
WHEAT OVERALL ACCURACY                47,781,164      89.9%      10.1%      0.820

CORN
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1  1,260,580      81.5%      18.5%      0.808      74.7%      25.3%      0.740
Two Years                           2    972,417      77.6%      22.4%      0.770      75.7%      24.3%      0.751
Three Years                         3    900,124      73.2%      26.8%      0.726      73.9%      26.1%      0.733
Four Years                          4    982,804      70.4%      29.6%      0.696      72.5%      27.5%      0.717
Five Years                          5  1,131,500      69.6%      30.4%      0.687      70.4%      29.6%      0.694
Six Years                           6  1,406,980      72.5%      27.5%      0.714      70.9%      29.1%      0.698
Seven Years                         7  1,989,230      67.9%      32.1%      0.662      71.7%      28.3%      0.701
Eight Years                         8  8,414,310      86.2%      13.8%      0.832      87.6%      12.4%      0.848
Nine Years                          9  9,009,770      90.3%       9.7%      0.879      88.3%      11.7%      0.856
Ten Years                          10  2,566,980      84.1%      15.9%      0.831      80.5%      19.5%      0.793
Eleven Years                       11  1,963,200      87.5%      12.5%      0.869      85.6%      14.4%      0.850
Twelve Years                       12  1,401,970      88.0%      12.0%      0.876      86.7%      13.3%      0.863
Thirteen Years                     13    975,557      88.2%      11.8%      0.879      87.0%      13.0%      0.867
Fourteen Years                     14    701,514      88.2%      11.8%      0.880      87.9%      12.1%      0.877
Fifteen Years                      15    490,659      87.6%      12.4%      0.874      88.1%      11.9%      0.879
Sixteen Years                      16    418,996      90.0%      10.0%      0.899      88.1%      11.9%      0.880
Seventeen Years                    17    487,480      91.3%       8.7%      0.912      96.8%       3.2%      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     178,007    82.0%       18.0%      0.819      66.7%      33.3%      0.665
Two Years                           2     110,976    78.1%       21.9%      0.781      73.6%      26.4%      0.736
Three Years                         3      86,083    74.2%       25.8%      0.742      74.5%      25.5%      0.745
Four Years                          4      69,919    75.2%       24.8%      0.751      74.5%      25.5%      0.744
Five Years                          5      56,208    71.2%       28.8%      0.712      73.3%      26.7%      0.733
Six Years                           6      60,871    75.2%       24.8%      0.751      75.5%      24.5%      0.755
Seven Years                         7      43,412    71.3%       28.7%      0.712      69.3%      30.7%      0.693
Eight Years                         8      44,522    71.2%       28.8%      0.712      76.0%      24.0%      0.760
Nine Years                          9      33,929    68.9%       31.1%      0.688      74.9%      25.1%      0.749
Ten Years                          10      20,555    70.9%       29.1%      0.708      66.3%      33.7%      0.663
Eleven Years                       11      19,347    69.2%       30.8%      0.691      70.7%      29.3%      0.707
Twelve Years                       12      17,082    72.5%       27.5%      0.725      70.6%      29.4%      0.705
Thirteen Years                     13      16,680    72.7%       27.3%      0.727      77.1%      22.9%      0.771
Fourteen Years                     14      11,158    73.4%       26.6%      0.734      71.1%      28.9%      0.711
Fifteen Years                      15      11,519    77.7%       22.3%      0.777      73.7%      26.3%      0.737
Sixteen Years                      16      10,230    75.3%       24.7%      0.753      70.9%      29.1%      0.709
Seventeen Years                    17      22,338    83.3%       16.7%      0.833      96.6%       3.4%      0.966

SOYBEANS
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1  1,000,930      80.5%      19.5%      0.800      76.1%      23.9%      0.755
Two Years                           2    904,249      79.1%      20.9%      0.787      79.2%      20.8%      0.787
Three Years                         3  1,080,420      79.6%      20.4%      0.791      80.4%      19.6%      0.799
Four Years                          4  1,372,970      80.0%      20.0%      0.793      80.8%      19.2%      0.801
Five Years                          5  1,834,800      81.3%      18.7%      0.805      81.8%      18.2%      0.810
Six Years                           6  2,457,490      81.9%      18.1%      0.808      81.9%      18.1%      0.808
Seven Years                         7  3,301,900      75.6%      24.4%      0.735      79.1%      20.9%      0.773
Eight Years                         8  9,921,530      87.1%      12.9%      0.837      87.8%      12.2%      0.845
Nine Years                          9  8,196,300      88.6%      11.4%      0.862      87.2%      12.8%      0.845
Ten Years                          10  1,256,710      72.5%      27.5%      0.715      67.9%      32.1%      0.668
Eleven Years                       11    764,711      73.6%      26.4%      0.731      70.6%      29.4%      0.700
Twelve Years                       12    429,313      70.2%      29.8%      0.699      67.6%      32.4%      0.672
Thirteen Years                     13    244,055      66.2%      33.8%      0.660      62.8%      37.2%      0.625
Fourteen Years                     14    164,946      63.2%      36.8%      0.630      61.3%      38.7%      0.611
Fifteen Years                      15    129,143      62.1%      37.9%      0.620      61.0%      39.0%      0.609
Sixteen Years                      16    115,007      70.4%      29.6%      0.702      62.0%      38.0%      0.618
Seventeen Years                    17    132,188      80.6%      19.4%      0.805      76.6%      23.4%      0.765

WHEAT
Cover                       Attribute   *Correct Producer's   Omission                User's Commission     Cond'l
Type                             Code     Pixels   Accuracy      Error      Kappa   Accuracy      Error      Kappa
----                             ----     ------   --------      -----      -----   --------      -----      -----
One Year                            1  2,428,310     85.1%       14.9%      0.842      81.0%      19.0%      0.800
Two Years                           2  1,339,270     78.9%       21.1%      0.782      77.5%      22.5%      0.768
Three Years                         3  1,019,280     72.2%       27.8%      0.715      75.5%      24.5%      0.748
Four Years                          4    945,371     60.4%       39.6%      0.594      71.3%      28.7%      0.704
Five Years                          5    931,941     59.7%       40.3%      0.585      60.7%      39.3%      0.595
Six Years                           6  1,020,240     64.9%       35.1%      0.637      62.6%      37.4%      0.614
Seven Years                         7    829,069     63.1%       36.9%      0.621      60.4%      39.6%      0.594
Eight Years                         8  1,738,850     81.2%       18.8%      0.804      78.5%      21.5%      0.776
Nine Years                          9  1,423,220     84.0%       16.0%      0.834      80.7%      19.3%      0.801
Ten Years                          10    401,263     70.4%       29.6%      0.700      66.1%      33.9%      0.658
Eleven Years                       11    375,179     71.8%       28.2%      0.716      71.1%      28.9%      0.708
Twelve Years                       12    265,471     71.3%       28.7%      0.711      68.0%      32.0%      0.678
Thirteen Years                     13    159,728     67.0%       33.0%      0.669      59.8%      40.2%      0.597
Fourteen Years                     14    129,766     64.0%       36.0%      0.638      61.2%      38.8%      0.611
Fifteen Years                      15     94,767     53.5%       46.5%      0.533      56.5%      43.5%      0.563
Sixteen Years                      16     82,772     60.6%       39.4%      0.605      53.1%      46.9%      0.530
Seventeen Years                    17    156,067     76.4%       23.6%      0.763      65.0%      35.0%      0.648

*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 (2008-2024) 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 2024 Crop Frequency Layers are based on the 2008-2024 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: 20250227
Title: 2024 Cropland Data Layer
Edition: 2024 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: 2024
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 2024 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 2024 USDA NASS Cropland Data Layers (CDL). The Crop Frequency Layers are raster, geo-referenced data layers that have a ground resolution of 30 meters. The 2024 CDL has a 10-meter spatial resolution, however in order to maintain consistency with historical data the 2024 Crop Frequency Layers are based on a 30-meter resampled version of 2024 CDL. There are currently four individual crop frequency data layers that represent 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 2024 Crop Frequency Layers have the following attributes:
CODE   CLASS_NAME
0	No Data/Background
1	Planted 1 time in 17 years
2	Planted 2 times in 17 years
3	Planted 3 times in 17 years
4	Planted 4 times in 17 years
5	Planted 5 times in 17 years
6	Planted 6 times in 17 years
7	Planted 7 times in 17 years
8	Planted 8 times in 17 years
9	Planted 9 times in 17 years
10	Planted 10 times in 17 years
11	Planted 11 times in 17 years
12	Planted 12 times in 17 years
13	Planted 13 times in 17 years
14	Planted 14 times in 17 years
15	Planted 15 times in 17 years
16	Planted 16 times in 17 years
17	Planted 17 times in 17 years
255    Planted 0 times in 17 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 2008-2024 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: 2024
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"	No Data/Background
      "1"	Planted 1 time in 17 years
      "2"	Planted 2 times in 17 years
      "3"	Planted 3 times in 17 years
      "4"	Planted 4 times in 17 years
      "5"	Planted 5 times in 17 years
      "6"	Planted 6 times in 17 years
      "7"	Planted 7 times in 17 years
      "8"	Planted 8 times in 17 years
      "9"	Planted 9 times in 17 years
      "10"	Planted 10 times in 17 years
      "11"	Planted 11 times in 17 years
      "12"	Planted 12 times in 17 years
      "13"	Planted 13 times in 17 years
      "14"	Planted 14 times in 17 years
      "15"	Planted 15 times in 17 years
      "16"	Planted 16 times in 17 years
      "17"	Planted 17 times in 17 years
      "255"      Planted 0 times in 17 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: 2024 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: 2024
Format_Information_Content: GEOTIFF
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
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: 20250227
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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