View Metadata

Cropland Data Layer, New York, 2020

Identification Information
Citation
Originator
United States Department of Agriculture (USDA)
Originator
National Agricultural Statistics Service (NASS)
Publication Date
20210201
Title
Cropland Data Layer, New York, 2020
Edition
2020 Edition
Geospatial Data Presentation Form
raster digital data
Series Information
Series Name
USDA-NASS Cropland Data Layer
Issue Identification
New York 2010
Publication Information
Publication Place
USDA, NASS Marketing and Information Services Office, Washington, D.C.
Publisher
USDA, NASS
Other Citation Details
NASS maintains a Frequently Asked Questions (FAQ's) section on the CDL website at https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php. The data is available free for download through CropScape at https://nassgeodata.gmu.edu/CropScape/. The data is also available free for download through the Geospatial Data Gateway at https://datagateway.nrcs.usda.gov/.
Online Linkage
https://cugir.library.cornell.edu/catalog/cugir-009110
Online Linkage
https://nassgeodata.gmu.edu/CropScape/
Abstract
The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2020 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 8 OLI/TIRS sensor, the Disaster Monitoring Constellation (DMC) DEIMOS-1, the ISRO ResourceSat-2 LISS-3, and the ESA SENTINEL-2 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) and the imperviousness and canopy data layers from the USGS National Land Cover Database 2016 (NLCD 2016). Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The most current version of the NLCD is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. 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.
Purpose
The purpose of the Cropland Data Layer Program is to use satellite imagery to (1) provide planted acreage estimates to the Agricultural Statistics Board for the state's major commodities and (2) produce digital, crop-specific, categorized geo-referenced output products.
Supplemental Information
If the following table does not display properly, then please visit the following website to view the original metadata file https://www.nass.usda.gov/Research_and_Science/Cropland/metadata/meta.php. USDA, National Agricultural Statistics Service, 2020 New York Cropland Data Layer CLASSIFICATION INPUTS: DEIMOS-1 DATE 20200420 SCENE IDENTIFIER 701 DEIMOS-1 DATE 20200507 SCENE IDENTIFIER 7B1 DEIMOS-1 DATE 20200521 SCENE IDENTIFIER 83A DEIMOS-1 DATE 20200620 SCENE IDENTIFIER 87E DEIMOS-1 DATE 20200621 SCENE IDENTIFIER 882 RESOURCESAT-2 LISS-3 DATE 20191011 PATH 289 RESOURCESAT-2 LISS-3 DATE 20200715 PATH 287 RESOURCESAT-2 LISS-3 DATE 20200822 PATH 285 RESOURCESAT-2 LISS-3 DATE 20200915 PATH 285 RESOURCESAT-2 LISS-3 DATE 20200916 PATH 290 LANDSAT 8 OLI/TIRS REAL-TIME DATE 20200503 PATH 014 LANDSAT 8 OLI/TIRS REAL-TIME DATE 20200609 PATH 017 LANDSAT 8 OLI/TIRS REAL-TIME DATE 20200706 PATH 014 LANDSAT 8 OLI/TIRS REAL-TIME DATE 20200908 PATH 014 LANDSAT 8 OLI/TIRS REAL-TIME DATE 20200915 PATH 015 USGS, NATIONAL ELEVATION DATASET USGS, NATIONAL LAND COVER DATABASE 2016 TREE CANOPY USGS, NATIONAL LAND COVER DATABASE 2016 IMPERVIOUSNESS USDA, NASS CROPLAND DATA LAYERS 2014-2019 SENTINEL-2A DATE 20191009 RELATIVE ORBIT NUMBER 140 SENTINEL-2A DATE 20191013 RELATIVE ORBIT NUMBER 054 SENTINEL-2A DATE 20191019 RELATIVE ORBIT NUMBER 140 SENTINEL-2A DATE 20200503 RELATIVE ORBIT NUMBER 097 SENTINEL-2A DATE 20200513 RELATIVE ORBIT NUMBER 097 SENTINEL-2A DATE 20200520 RELATIVE ORBIT NUMBER 054 SENTINEL-2A DATE 20200527 RELATIVE ORBIT NUMBER 011 SENTINEL-2A DATE 20200609 RELATIVE ORBIT NUMBER 054 SENTINEL-2A DATE 20200615 RELATIVE ORBIT NUMBER 140 SENTINEL-2A DATE 20200616 RELATIVE ORBIT NUMBER 011 SENTINEL-2A DATE 20200622 RELATIVE ORBIT NUMBER 097 SENTINEL-2A DATE 20200702 RELATIVE ORBIT NUMBER 097 SENTINEL-2A DATE 20200706 RELATIVE ORBIT NUMBER 011 SENTINEL-2A DATE 20200709 RELATIVE ORBIT NUMBER 054 SENTINEL-2A DATE 20200719 RELATIVE ORBIT NUMBER 054 SENTINEL-2A DATE 20200726 RELATIVE ORBIT NUMBER 011 SENTINEL-2A DATE 20200811 RELATIVE ORBIT NUMBER 097 SENTINEL-2A DATE 20200814 RELATIVE ORBIT NUMBER 140 SENTINEL-2A DATE 20200821 RELATIVE ORBIT NUMBER 097 SENTINEL-2A DATE 20200904 RELATIVE ORBIT NUMBER 011 SENTINEL-2A DATE 20200920 RELATIVE ORBIT NUMBER 097 SENTINEL-2A DATE 20201010 RELATIVE ORBIT NUMBER 097 SENTINEL-2B DATE 20191001 RELATIVE ORBIT NUMBER 097 SENTINEL-2B DATE 20191005 RELATIVE ORBIT NUMBER 011 SENTINEL-2B DATE 20191008 RELATIVE ORBIT NUMBER 054 SENTINEL-2B DATE 20191011 RELATIVE ORBIT NUMBER 097 SENTINEL-2B DATE 20191015 RELATIVE ORBIT NUMBER 011 SENTINEL-2B DATE 20191021 RELATIVE ORBIT NUMBER 097 SENTINEL-2B DATE 20200425 RELATIVE ORBIT NUMBER 054 SENTINEL-2B DATE 20200502 RELATIVE ORBIT NUMBER 011 SENTINEL-2B DATE 20200505 RELATIVE ORBIT NUMBER 054 SENTINEL-2B DATE 20200512 RELATIVE ORBIT NUMBER 011 SENTINEL-2B DATE 20200521 RELATIVE ORBIT NUMBER 140 SENTINEL-2B DATE 20200604 RELATIVE ORBIT NUMBER 054 SENTINEL-2B DATE 20200617 RELATIVE ORBIT NUMBER 097 SENTINEL-2B DATE 20200621 RELATIVE ORBIT NUMBER 011 SENTINEL-2B DATE 20200704 RELATIVE ORBIT NUMBER 054 SENTINEL-2B DATE 20200707 RELATIVE ORBIT NUMBER 097 SENTINEL-2B DATE 20200710 RELATIVE ORBIT NUMBER 140 SENTINEL-2B DATE 20200823 RELATIVE ORBIT NUMBER 054 SENTINEL-2B DATE 20200912 RELATIVE ORBIT NUMBER 054 SENTINEL-2B DATE 20200915 RELATIVE ORBIT NUMBER 097 SENTINEL-2B DATE 20200919 RELATIVE ORBIT NUMBER 011 SENTINEL-2B DATE 20200922 RELATIVE ORBIT NUMBER 054 SENTINEL-2B DATE 20200925 RELATIVE ORBIT NUMBER 097 SENTINEL-2B DATE 20201009 RELATIVE ORBIT NUMBER 011 TRAINING AND VALIDATION: USDA, FARM SERVICE AGENCY 2020 COMMON LAND UNIT DATA USGS, NATIONAL LAND COVER DATABASE 2016 NOTE: The final extent of the CDL is clipped to the state boundary even though the raw input data may encompass a larger area.
Temporal Extent
Currentness Reference
2020 growing season
Time Period
Beginning
20191001
End
20201231
Bounding Box
West
-79.974336
East
-70.596893
North
45.838882
South
40.116635
ISO Topic Category
farming
environment
imageryBaseMapsEarthCover
Theme Keyword
Earth Science Biosphere Terrestrial Ecosystems Agricultural Lands
Earth Science Land Surface Land Use/Land Cover Land Cover
Theme Keyword Thesaurus
Global Change Master Directory (GCMD) Science Keywords
Theme Keyword
crop cover
cropland
agriculture
land cover
crop estimates
DEIMOS-1
ISRO ResourceSat-2 LISS-3
ESA SENTINEL-2
Landsat
CropScape
Theme Keyword Thesaurus
None
Theme Keyword
agriculture
environment
landcover
Theme Keyword Thesaurus
CUGIR Category
Place Keyword
New York
Place Keyword Thesaurus
None
Temporal Keyword
2020
Temporal Keyword Thesaurus
None
Access Restrictions
None
Use Restrictions
The USDA, NASS Cropland Data Layer is 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. 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/.
Status
Complete
Maintenance and Update Frequency
None planned
Point of Contact
Contact Organization
USDA, NASS, Spatial Analysis Research Section
Delivery Point
1400 Independence Avenue, SW, Room 5029 South Building
City
Washington
State
District of Columbia
Postal Code
20250-2001
Country
USA
Contact Telephone
800-727-9540
Contact Facsimile Telephone
855-493-0447
Contact Electronic Mail Address
SM.NASS.RDD.GIB@usda.gov
Credit
USDA, National Agricultural Statistics Service
Native Data Set Environment
Microsoft Windows 7 Enterprise; ERDAS Imagine Version 2018 https://www.hexagongeospatial.com/; ESRI ArcGIS Version 10.7 https://www.esri.com/; Rulequest See5.0 Release 2.11a http://www.rulequest.com/; NLCD Mapping Tool version 'NLCD_for_IMAGINE_ver_16_0_0_build_199_2018-09-12' https://www.mrlc.gov/. ERDAS Imagine is used in the pre- and post- processing of all raster-based data. ESRI ArcGIS is used to prepare the vector-based Farm Service Agency (FSA) Common Land Unit (CLU) training and validation data. Rulequest See5.0 is used to create a decision-tree based classifier. The NLCD Mapping Tool is used to apply the See5.0 decision-tree via ERDAS Imagine. This is a departure from older versions of the CDL that were created using in-house software (Peditor) based upon a maximum likelihood classifier approach. Check this section and the 'Process Description' section of the specific state and year metadata file to verify what methodology was used.
Data Quality Information
Attribute Accuracy Report
If the following table does not display properly, then please visit this internet site https://www.nass.usda.gov/Research_and_Science/Cropland/metadata/meta.php to view the original metadata file. USDA, National Agricultural Statistics Service, 2020 New York Cropland Data Layer STATEWIDE AGRICULTURAL ACCURACY REPORT Crop-specific covers only *Correct Accuracy Error Kappa ------------------------- ------- -------- ------ ----- OVERALL ACCURACY** 340,658 73.0% 27.0% 0.659 Cover Attribute *Correct Producer's Omission User's Commission Cond'l Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa ---- ---- ------ -------- ----- ----- -------- ----- ----- Corn 1 147492 87.8% 12.2% 0.850 87.5% 12.5% 0.846 Sorghum 4 368 30.7% 69.3% 0.307 69.2% 30.8% 0.691 Soybeans 5 40581 76.9% 23.1% 0.756 84.7% 15.3% 0.838 Sunflower 6 2 3.9% 96.1% 0.039 50.0% 50.0% 0.500 Sweet Corn 12 911 45.2% 54.8% 0.451 77.5% 22.5% 0.774 Barley 21 235 33.9% 66.1% 0.338 65.1% 34.9% 0.651 Durum Wheat 22 0 n/a n/a n/a 0.0% 100.0% 0.000 Spring Wheat 23 35 21.7% 78.3% 0.217 55.6% 44.4% 0.555 Winter Wheat 24 15034 83.1% 16.9% 0.828 84.6% 15.4% 0.843 Dbl Crop WinWht/Soybeans 26 0 0.0% 100.0% 0.000 n/a n/a n/a Rye 27 301 18.3% 81.7% 0.183 57.6% 42.4% 0.575 Oats 28 2145 46.3% 53.7% 0.461 70.2% 29.8% 0.701 Millet 29 1 1.8% 98.2% 0.018 50.0% 50.0% 0.500 Speltz 30 38 25.3% 74.7% 0.253 65.5% 34.5% 0.655 Alfalfa 36 60803 74.2% 25.8% 0.717 76.5% 23.5% 0.742 Other Hay/Non Alfalfa 37 57240 65.7% 34.3% 0.623 69.9% 30.1% 0.668 Buckwheat 39 126 39.3% 60.7% 0.392 78.3% 21.7% 0.783 Sugarbeets 41 182 39.8% 60.2% 0.398 61.7% 38.3% 0.617 Dry Beans 42 3318 56.8% 43.2% 0.566 75.3% 24.7% 0.752 Potatoes 43 1053 60.3% 39.7% 0.602 87.5% 12.5% 0.874 Other Crops 44 5 3.1% 96.9% 0.031 41.7% 58.3% 0.417 Misc Vegs Fruits 47 0 0.0% 100.0% 0.000 0.0% 100.0% 0.000 Onions 49 747 78.4% 21.6% 0.784 79.2% 20.8% 0.792 Cucumbers 50 122 55.5% 44.5% 0.554 78.7% 21.3% 0.787 Peas 53 712 56.9% 43.1% 0.569 74.9% 25.1% 0.749 Tomatoes 54 0 0.0% 100.0% 0.000 0.0% 100.0% 0.000 Herbs 57 0 0.0% 100.0% 0.000 n/a n/a n/a Clover/Wildflowers 58 796 30.6% 69.4% 0.305 58.6% 41.4% 0.585 Sod/Grass Seed 59 414 74.9% 25.1% 0.749 80.4% 19.6% 0.804 Fallow/Idle Cropland 61 2306 33.5% 66.5% 0.332 52.8% 47.2% 0.525 Cherries 66 16 25.4% 74.6% 0.254 69.6% 30.4% 0.696 Peaches 67 13 18.6% 81.4% 0.186 36.1% 63.9% 0.361 Apples 68 2174 71.2% 28.8% 0.711 77.7% 22.3% 0.776 Grapes 69 1745 79.1% 20.9% 0.790 88.6% 11.4% 0.886 Christmas Trees 70 58 30.5% 69.5% 0.305 57.4% 42.6% 0.574 Other Tree Crops 71 0 0.0% 100.0% 0.000 n/a n/a n/a Pears 77 12 14.1% 85.9% 0.141 60.0% 40.0% 0.600 Triticale 205 377 25.4% 74.6% 0.253 73.1% 26.9% 0.730 Carrots 206 89 69.5% 30.5% 0.695 76.7% 23.3% 0.767 Broccoli 214 16 30.2% 69.8% 0.302 88.9% 11.1% 0.889 Peppers 216 0 n/a n/a n/a 0.0% 100.0% 0.000 Greens 219 1 1.8% 98.2% 0.018 16.7% 83.3% 0.167 Plums 220 0 0.0% 100.0% 0.000 0.0% 100.0% 0.000 Strawberries 221 0 0.0% 100.0% 0.000 0.0% 100.0% 0.000 Squash 222 208 39.9% 60.1% 0.399 84.9% 15.1% 0.849 Dbl Crop WinWht/Corn 225 0 0.0% 100.0% 0.000 n/a n/a n/a Dbl Crop Triticale/Corn 228 159 33.7% 66.3% 0.337 85.9% 14.1% 0.859 Pumpkins 229 33 20.1% 79.9% 0.201 40.2% 59.8% 0.402 Dbl Crop Barley/Corn 237 0 n/a n/a n/a 0.0% 100.0% 0.000 Blueberries 242 1 2.4% 97.6% 0.024 12.5% 87.5% 0.125 Cabbage 243 789 65.3% 34.7% 0.652 87.5% 12.5% 0.875 *Correct Pixels represents the total number of independent validation pixels correctly identified in the error matrix. **The Overall Accuracy represents only the FSA row crops and annual fruit and vegetables (codes 1-61, 66-80, 92 and 200-255). FSA-sampled grass and pasture. Non-agricultural and NLCD-sampled categories (codes 62-65, 81-91 and 93-199) are not included in the Overall Accuracy. The accuracy of the non-agricultural land cover classes within the Cropland Data Layer is entirely dependent upon the USGS, National Land Cover Database (NLCD 2016). Thus, the USDA, NASS recommends that users consider the NLCD for studies involving non-agricultural land cover. For more information on the accuracy of the NLCD please reference https://www.mrlc.gov/.
Quantitative Attribute Accuracy Assessment
Logical Consistency Report
The Cropland Data Layer (CDL) has been produced using training and independent validation data from the Farm Service Agency (FSA) Common Land Unit (CLU) Program (agricultural data) and 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/. The CDL encompasses the entire state unless noted otherwise in the 'Completeness Report' section of this metadata file.
Completeness Report
The entire state is covered by the Cropland Data Layer.
Horizontal Positional Accuracy Report
The Cropland Data Layer retains the spatial attributes of the input imagery. The Landsat 8 OLI/TIRS imagery was obtained via download from the USGS Global Visualization Viewer (Glovis) website https://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 imagery used in the production of the Cropland Data Layer is orthorectified to a radial root mean square error (RMSE) of approximately 10 meters.
Lineage
Source
Originator
Indian Space Research Organization (ISRO)
Publication Date
2020
Title
ResourceSat-2 LISS-3
Geospatial Data Presentation Form
remote-sensing image
Publication Information
Publication Place
Indian Space Research Organisation HQ, Department of Space, Government of India Antariksh Bhavan, New BEL Road, Bangalore 560 231
Publisher
Indian Space Research Organization (ISRO)
Other Citation Details
The ISRO ResourceSat-2 LISS-3 satellite sensor operates in four spectral bands at a spatial resolution of 24 meters. Additional information about the data can be obtained at https://www.isro.gov.in/. Refer to the 'Supplemental Information' Section of this metadata file for specific scene date, path, row and quadrants used as classification inputs. For the 2020 CDL Program, the imagery was resampled to 30 meters to match the Landsat spatial resolution. The resample used cubic convolution, rigorous transformation.
Source Scale Denominator
24 meter
Type of Source Media
online download
Source Temporal Extent
Time Period Information
Range of Dates/Times
Beginning Date
20191001
Ending Date
20201231
Source Currentness Reference
ground condition
Contribution
Raw data used in land cover spectral signature analysis
Source
Originator
European Space Agency (ESA)
Publication Date
2020
Title
SENTINEL-2
Geospatial Data Presentation Form
remote-sensing image
Publication Information
Publication Place
European Commission, Brussels (Belgium)
Publisher
Copernicus - European Commission
Other Citation Details
The ESA SENTINEL-2 satellite sensor operates in twelve spectral bands at spatial resolutions varying from 10 to 60 meters. Additional information about the data can be obtained at http://www.esa.int/. Refer to the 'Supplemental Information' Section of this metadata file for specific scene date, path, row and quadrants used as classification inputs. For the 2020 CDL Program, the imagery was resampled to 30 meters to match the Landsat spatial resolution. The resample used cubic convolution, rigorous transformation.
Source Scale Denominator
10 meter
Type of Source Media
online download
Source Temporal Extent
Time Period Information
Range of Dates/Times
Beginning Date
20191001
Ending Date
20201231
Source Currentness Reference
ground condition
Contribution
Raw data used in land cover spectral signature analysis
Source
Originator
Elecnor Deimos Imaging
Publication Date
2020
Title
DEIMOS-1
Geospatial Data Presentation Form
remote-sensing image
Publication Information
Publication Place
Elecnor Deimos Imaging, Valladolid, Spain
Publisher
Astrium GEO Information Services
Other Citation Details
The DEIMOS-1 satellite sensor operates in three spectral bands at a spatial resolution of 22 meters. Additional information about DEIMOS-1 data can be obtained at https://www.deimos-imaging.com/. Refer to the 'Supplemental Information' Section of this metadata file for specific scene date, path, row and quadrants used as classification inputs. The DEIMOS-1 imagery was resampled to 30 meters to match the Landsat spatial resolution. The resample used cubic convolution, rigorous transformation.
Source Scale Denominator
22 meter
Type of Source Media
online download
Source Temporal Extent
Time Period Information
Range of Dates/Times
Beginning Date
20191001
Ending Date
20201231
Source Currentness Reference
ground condition
Contribution
Raw data used in land cover spectral signature analysis
Source
Originator
United States Geological Survey (USGS), Earth Resources Observation and Science (EROS)
Publication Date
2020
Title
Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS)
Geospatial Data Presentation Form
remote-sensing image
Publication Information
Publication Place
Sioux Falls, South Dakota 57198-001
Publisher
USGS, EROS
Other Citation Details
The Landsat 8 OLI/TIRS data are free for download through the following website https://glovis.usgs.gov/. Additional information about Landsat data can be obtained at https://www.usgs.gov/centers/eros. Refer to the 'Supplemental Information' Section of this metadata file for specific scene date, path and rows used as classification inputs.
Source Scale Denominator
30 meter
Type of Source Media
online download
Source Temporal Extent
Time Period Information
Range of Dates/Times
Beginning Date
20191001
Ending Date
20201231
Source Currentness Reference
ground condition
Contribution
Raw data used in land cover spectral signature analysis
Source
Originator
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Publication Date
2009
Title
The National Elevation Dataset (NED)
Geospatial Data Presentation Form
remote-sensing image
Publication Information
Publication Place
Sioux Falls, South Dakota 57198 USA
Publisher
USGS, EROS Data Center
Other Citation Details
The USGS NED Digital Elevation Model (DEM) is used as an ancillary data source in the production of the Cropland Data Layer. More information on the USGS NED can be found at https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map. Refer to the 'Supplemental Information' Section of this metadata file for the complete list of ancillary data sources used as classification inputs.
Source Scale Denominator
30 meter
Type of Source Media
online
Source Temporal Extent
Time Period Information
Single Date/Time
Calendar Date
unknown
Source Currentness Reference
ground condition
Contribution
spatial and attribute information used in land cover spectral signature analysis
Source
Originator
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
Publication Date
2019
Title
National Land Cover Database 2016 (NLCD 2016)
Geospatial Data Presentation Form
remote-sensing image
Publication Information
Publication Place
Sioux Falls, South Dakota 57198 USA
Publisher
USGS, EROS Data Center
Other Citation Details
The NLCD 2016 was used as ground training and validation for non-agricultural categories. Additionally, the USGS NLCD 2016 Imperviousness layer was used as ancillary data sources in the Cropland Data Layer classification process. The NLCD2016 Tree Canopy data layer was not published in time for use in CDL production, so the NLCD 2011 Tree Canopy data was used. More information on the NLCD 2016 and NLCD 2011 can be found at https://www.mrlc.gov/. Refer to the 'Supplemental Information' Section of this metadata file for the complete list of ancillary data sources used as classification inputs.
Source Scale Denominator
30 meter
Type of Source Media
online
Source Temporal Extent
Time Period Information
Single Date/Time
Calendar Date
unknown
Source Currentness Reference
ground condition
Contribution
Raw data used in land cover spectral signature analysis
Source
Originator
United States Department of Agriculture (USDA), Farm Service Agency (FSA)
Publication Date
2020
Title
USDA, FSA Common Land Unit (CLU)
Geospatial Data Presentation Form
vector digital data
Publication Information
Publication Place
Salt Lake City, Utah 84119-2020 USA
Publisher
USDA, FSA Aerial Photography Field Office
Other Citation Details
Access to the USDA, Farm Service Agency (FSA) Common Land Unit (CLU) digital data set is currently limited to FSA and Agency partnerships. During the current growing season, producers enrolled in FSA programs report their growing intentions, crops and acreage to USDA Field Service Centers. Their field boundaries are digitized in a standardized GIS data layer and the associated attribute information is maintained in a database known as 578 Administrative Data. This CLU/578 dataset provides a comprehensive and robust agricultural training and validation data set for the Cropland Data Layer. Additional information about the CLU Program can be found at https://www.fsa.usda.gov/.
Source Scale Denominator
4800
Type of Source Media
online
Source Temporal Extent
Time Period Information
Single Date/Time
Calendar Date
2020
Source Currentness Reference
ground condition, updated annually
Contribution
spatial and attribute information used in the spectral signature training and validation of agricultural land cover
Spatial Data Organization Information
Direct Spatial Reference Method
Raster
Raster Object Information
Raster Object Type
Grid Cell
Row Count
16925
Column Count
22229
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
Ordinate Resolution
30
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
298.257223563
Entity and Attribute Information
Entity and Attribute Overview
The Cropland Data Layer (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
If the following table does not display properly, then please visit the following website to view the original metadata file https://www.nass.usda.gov/Research_and_Science/Cropland/metadata/meta.php. Data Dictionary: USDA, National Agricultural Statistics Service, 2020 Cropland Data Layer Source: USDA, National Agricultural Statistics Service The following is a cross reference list of the categorization codes and land covers. Note that not all land cover categories listed below will appear in an individual state. Raster Attribute Domain Values and Definitions: NO DATA, BACKGROUND 0 Categorization Code Land Cover "0" Background Raster Attribute Domain Values and Definitions: CROPS 1-60 Categorization Code Land Cover "1" Corn "2" Cotton "3" Rice "4" Sorghum "5" Soybeans "6" Sunflower "10" Peanuts "11" Tobacco "12" Sweet Corn "13" Pop or Orn Corn "14" Mint "21" Barley "22" Durum Wheat "23" Spring Wheat "24" Winter Wheat "25" Other Small Grains "26" Dbl Crop WinWht/Soybeans "27" Rye "28" Oats "29" Millet "30" Speltz "31" Canola "32" Flaxseed "33" Safflower "34" Rape Seed "35" Mustard "36" Alfalfa "37" Other Hay/Non Alfalfa "38" Camelina "39" Buckwheat "41" Sugarbeets "42" Dry Beans "43" Potatoes "44" Other Crops "45" Sugarcane "46" Sweet Potatoes "47" Misc Vegs Fruits "48" Watermelons "49" Onions "50" Cucumbers "51" Chick Peas "52" Lentils "53" Peas "54" Tomatoes "55" Caneberries "56" Hops "57" Herbs "58" Clover/Wildflowers "59" Sod/Grass Seed "60" Switchgrass Raster Attribute Domain Values and Definitions: NON-CROP 61-65 Categorization Code Land Cover "61" Fallow/Idle Cropland "63" Forest "64" Shrubland "65" Barren Raster Attribute Domain Values and Definitions: CROPS 66-80 Categorization Code Land Cover "66" Cherries "67" Peaches "68" Apples "69" Grapes "70" Christmas Trees "71" Other Tree Crops "72" Citrus "74" Pecans "75" Almonds "76" Walnuts "77" Pears Raster Attribute Domain Values and Definitions: OTHER 81-109 Categorization Code Land Cover "81" Clouds/No Data "82" Developed "83" Water "87" Wetlands "88" Nonag/Undefined "92" Aquaculture Raster Attribute Domain Values and Definitions: NLCD-DERIVED CLASSES 110-195 Categorization Code Land Cover "111" Open Water "112" Perennial Ice/Snow "121" Developed/Open Space "122" Developed/Low Intensity "123" Developed/Med Intensity "124" Developed/High Intensity "131" Barren "141" Deciduous Forest "142" Evergreen Forest "143" Mixed Forest "152" Shrubland "176" Grassland/Pasture "190" Woody Wetlands "195" Herbaceous Wetlands Raster Attribute Domain Values and Definitions: CROPS 195-255 Categorization Code Land Cover "204" Pistachios "205" Triticale "206" Carrots "207" Asparagus "208" Garlic "209" Cantaloupes "210" Prunes "211" Olives "212" Oranges "213" Honeydew Melons "214" Broccoli "215" Avocados "216" Peppers "217" Pomegranates "218" Nectarines "219" Greens "220" Plums "221" Strawberries "222" Squash "223" Apricots "224" Vetch "225" Dbl Crop WinWht/Corn "226" Dbl Crop Oats/Corn "227" Lettuce "228" Dbl Crop Triticale/Corn "229" Pumpkins "230" Dbl Crop Lettuce/Durum Wht "231" Dbl Crop Lettuce/Cantaloupe "232" Dbl Crop Lettuce/Cotton "233" Dbl Crop Lettuce/Barley "234" Dbl Crop Durum Wht/Sorghum "235" Dbl Crop Barley/Sorghum "236" Dbl Crop WinWht/Sorghum "237" Dbl Crop Barley/Corn "238" Dbl Crop WinWht/Cotton "239" Dbl Crop Soybeans/Cotton "240" Dbl Crop Soybeans/Oats "241" Dbl Crop Corn/Soybeans "242" Blueberries "243" Cabbage "244" Cauliflower "245" Celery "246" Radishes "247" Turnips "248" Eggplants "249" Gourds "250" Cranberries "254" Dbl Crop Barley/Soybeans
Distribution Information
Format Name
GeoTIFF
Format Name
metadata
Format Name
HTML metadata
Format Name
OGC:WMS
Distributor
Albert R. Mann Library
Online Access
https://cugir-data.s3.amazonaws.com/00/91/10/cugir-009110.zip
Online Access
https://cugir-data.s3.amazonaws.com/00/91/10/fgdc.xml
Online Access
https://cugir-data.s3.amazonaws.com/00/91/10/fgdc.html
Online Access
https://cugir.library.cornell.edu/geoserver/cugir/wms?version=1.1.0request=GetMaplayers=cugir009110bbox=-80.25565929,39.944967590000005,-70.31556970999999,46.010549409999996width=256height=156srs=EPSG:4326format=image/png
Name
Name
Distribution Information
Format Name
GEOTIFF
Distributor
USDA, NASS Customer Service
Online Access
https://nassgeodata.gmu.edu/CropScape/
Name
Name
Metadata Reference Information
Metadata Date
20210720
Metadata Contact
Contact Information
Contact Organization Primary
Contact Organization
Albert R. Mann Library
Contact Address
Address
Albert R. Mann Library
City
Ithaca
State or Province
New York
Postal Code
14853
Country
USA
Contact Voice Telephone
607-255-5406
Contact Electronic Mail Address
mann-ref@cornell.edu
Metadata Standard Name
FGDC Content Standard for Digital Geospatial Metadata
Metadata Standard Version
FGDC-STD-001-1998
Download