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Cropland Data Layer, New York State, 2008
- Identification Information
- Data Quality Information
- Spatial Data Organization Information
- Spatial Reference Information
- Entity and Attribute Information
- Distribution Information
- Distribution Information
- Metadata Reference Information
- Identification Information
- Citation
- Originator
- United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS), Research and Development Division (RDD), Geospatial Information Branch (GIB), Spatial Analysis Research Section (SARS)
- Publication Date
- 20090717
- Title
- Cropland Data Layer, New York State, 2008
- Edition
- 2008 Edition
- Geospatial Data Presentation Form
- raster digital data
- Series Information
- Series Name
- USDA-NASS Cropland Data Layer
- Issue Identification
- New York 2008
- Publication Information
- Publication Place
- USDA, NASS Marketing and Information Services Office, Washington, D.C.
- Publisher
- USDA, NASS
- Other Citation Details
- Available on DVD through the official website http://www.nass.usda.gov/research/Cropland/SARS1a.htm. The data is also available free for download through the Geospatial Data Gateway at http://datagateway.nrcs.usda.gov/. See the 'Ordering Instructions' section of this metadata file for detailed download instructions. The official DVD contains additional accuracy assessment information that is not available through the Geospatial Data Gateway in the form of an associated confidence layer. The following description of the confidence layer is taken from the document entitled 'MDA_NLCD_User_Guide.doc' which is available free for download with the NLCD Mapping Tool at http://www.mrlc.gov/. The Confidence Layer "spatially represents the predicted confidence that is associated with that output pixel, based upon the rule(s) that were used to classify it. This is useful in that the user can see the spatial representation of distribution and magnitude of error or confidence for a given classification... This error layer represents a percent confidence associated with each rule and output categorical, classified value. It is expressed as a percentage of confidence. A value of zero would therefore have a low confidence (always wrong), while a value of 100 would have a very high confidence (always right)." For more information on the use of confidence layers please refer to the following paper: Liu, Weiguo, Sucharita Gopal and Curtis E. Woodcock, 2004. Uncertainty and confidence in land cover classification using a hybrid classifier approach, Photogrammetric Engineering Remote Sensing, 70(8):963-971. Ultimately, however, the confidence value is not a measure of accuracy for a given pixel but rather a how well it fit within the decision tree ruleset.
- Online Linkage
- https://cugir.library.cornell.edu/catalog/cugir-008028
- Online Linkage
- http://www.nass.usda.gov/research/Cropland/SARS1a.htm
- Abstract
- The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer with a ground resolution of 56 meters. The CDL is produced using satellite imagery from the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. Ancillary classification inputs include: the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Dataset 2001 (NLCD 2001), 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 2001 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.
- Purpose
- The purpose of the Cropland Data Layer Program is to use satellite imagery to (1) provide 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 this internet site http://www.nass.usda.gov/research/Cropland/metadata/meta.htm to view the original metadata file. USDA, National Agricultural Statistics Service 2008 New York Cropland Data Layer CLASSIFICATION INPUTS: AWIFS DATE 20080402 PATH 281 ROW(S)QUADRANT(S) 40BD AWIFS DATE 20080526 PATH 287 ROW(S)QUADRANT(S) 40BD 45B AWIFS DATE 20080609 PATH 285 ROW(S)QUADRANT(S) 39BD AWIFS DATE 20080613 PATH 281 ROW(S)QUADRANT(S) 40BD AWIFS DATE 20080708 PATH 286 ROW(S)QUADRANT(S) 40ABCD AWIFS DATE 20080820 PATH 285 ROW(S)QUADRANT(S) 39ACD AWIFS DATE 20080917 PATH 281 ROW(S)QUADRANT(S) 40BD AWIFS DATE 20080918 PATH 286 ROW(S)QUADRANT(S) 40BD 45ABD AWIFS DATE 20080923 PATH 287 ROW(S)QUADRANT(S) 40ABCD AWIFS DATE 20081026 PATH 284 ROW(S)QUADRANT(S) 40BD LANDSAT TM DATE 20080418 PATH 012 ROW(S) 31 32 LANDSAT TM DATE 20080612 PATH 013 ROW(S) 31 32 LANDSAT TM DATE 20080621 PATH 012 ROW(S) 31 32 LANDSAT TM DATE 20080628 PATH 013 ROW(S) 32 LANDSAT TM DATE 20080701 PATH 018 ROW(S) 31 32 LANDSAT TM DATE 20080712 PATH 015 ROW(S) 29 30 31 32 33 34 35 LANDSAT TM DATE 20080818 PATH 018 ROW(S) 31 32 33 34 35 LANDSAT TM DATE 20080820 PATH 016 ROW(S) 29 30 31 32 33 34 35 LANDSAT TM DATE 20080822 PATH 014 ROW(S) 29 30 31 32 33 LANDSAT TM DATE 20080831 PATH 013 ROW(S) 32 LANDSAT TM DATE 20080831 PATH 013 ROW(S) 31 32 LANDSAT TM DATE 20080903 PATH 018 ROW(S) 31 32 33 34 35 LANDSAT TM DATE 20080905 PATH 016 ROW(S) 29 30 31 LANDSAT TM DATE 20080923 PATH 014 ROW(S) 29 31 32 LANDSAT TM DATE 20081007 PATH 016 ROW(S) 29 30 LANDSAT TM DATE 20081018 PATH 013 ROW(S) 31 32 LANDSAT TM DATE 20081030 PATH 017 ROW(S) 30 33 34 35 LANDSAT TM DATE 20080808 PATH 012 ROW(S) 32 MODIS 16 DAY NDVI COMPOSITE DATE 20080305 MODIS 16 DAY NDVI COMPOSITE DATE 20080406 MODIS 16 DAY NDVI COMPOSITE DATE 20080422 MODIS 16 DAY NDVI COMPOSITE DATE 20080508 USGS, NATIONAL ELEVATION DATASET ELEVATION USGS, NATIONAL LAND COVER DATASET 2001 TREE CANOPY USGS, NATIONAL LAND COVER DATASET 2001 IMPERVIOUSNESS TRAINING AND VALIDATION: USDA, FARM SERVICE AGENCY 2008 COMMON LAND UNITS USGS, NATIONAL LAND COVER DATASET 2001 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
- 2008 growing season
- Time Period
- Beginning
- 20080101
- End
- 20081230
- Bounding Box
- West
- -79.996495
- East
- -71.650287
- North
- 45.022951
- South
- 40.405047
- 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
- AWIFS Advanced Wide Field Sensor
- MODIS Moderate-Resolution Imaging Spectroradiometer
- Theme Keyword Thesaurus
- Global Change Master Directory (GCMD) Instrument Keywords
- Theme Keyword
- crop cover
- cropland
- agriculture
- land cover
- crop estimates
- AWiFS
- MODIS
- Theme Keyword Thesaurus
- None
- Theme Keyword
- agriculture
- environment
- landcover
- Theme Keyword Thesaurus
- CUGIR Category
- Place Keyword
- New York
- Place Keyword Thesaurus
- None
- Temporal Keyword
- 2008
- 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 freeware browser ESRI ArcGIS Explorer http://www.esri.com/software/arcgis/explorer/.
- Status
- Complete
- Maintenance and Update Frequency
- None planned
- Point of Contact
- Contact Organization
- USDA, NASS, Spatial Analysis Research Section
- Delivery Point
- 3251 Old Lee Highway, Room 305
- City
- Fairfax
- State
- Virginia
- Postal Code
- 22030-1504
- Country
- USA
- Contact Telephone
- 703-877-8000
- Contact Facsimile Telephone
- 703-877-8044
- Contact Electronic Mail Address
- HQ_RDD_GIB@nass.usda.gov
- Credit
- USDA, National Agricultural Statistics Service
- Native Data Set Environment
- Microsoft Windows XP; Leica Geosystems ERDAS Imagine Versions 9.1 and 9.2 http://gi.leica-geosystems.com/; ESRI ArcGIS Version 9.3 http://www.esri.com/; Rulequest See5.0 Release 2.06 http://www.rulequest.com/; NLCD Mapping Tool http://www.mrlc.gov/. Leica Geosystems 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 classified 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 http://www.nass.usda.gov/research/Cropland/metadata/meta.htm to view the original metadata file. USDA, National Agricultural Statistics Service, 2008 New York Cropland Data Layer STATEWIDE AGRICULTURAL ACCURACY REPORT Crop-specific covers only *Correct Accuracy Error Kappa ------------------------- ------- -------- ------ ----- OVERALL ACCURACY 136496 80.67% 19.33% 0.7388 Cover Attribute *Correct Producer's Omission User's Commission Cond'l Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa ---- ---- ------ -------- ----- ----- -------- ----- ----- Corn 1 58824 92.81% 7.19% 0.8875 91.32% 8.68% 0.8654 Sorghum 4 1 0.48% 99.52% 0.0046 3.23% 96.77% 0.0311 Soybeans 5 13200 86.55% 13.45% 0.8537 91.30% 8.70% 0.9049 Sunflowers 6 25 33.78% 66.22% 0.3377 78.13% 21.88% 0.7812 Sweet corn 12 1463 72.64% 27.36% 0.7238 85.71% 14.29% 0.8554 Barley 21 50 17.36% 82.64% 0.1731 49.02% 50.98% 0.4894 Spring wheat 23 0 0.00% 100.00% 0.0000 n/a n/a n/a Winter wheat 24 7199 82.69% 17.31% 0.8184 86.18% 13.82% 0.8548 Other grains 25 7 3.98% 96.02% 0.0397 31.82% 68.18% 0.3175 Rye 27 15 4.03% 95.97% 0.0400 22.06% 77.94% 0.2190 Oats 28 750 32.74% 67.26% 0.3227 61.22% 38.78% 0.6072 Millet 29 1 100.00% 0.00% 1.0000 33.33% 66.67% 0.3333 Speltz 30 36 23.38% 76.62% 0.2335 70.59% 29.41% 0.7056 Alfalfa 36 5577 49.07% 50.93% 0.4661 67.88% 32.12% 0.6570 Other hays 37 44551 83.75% 16.25% 0.7535 73.26% 26.74% 0.6191 Beets 41 26 25.24% 74.76% 0.2522 60.47% 39.53% 0.6044 Dry beans 42 1021 61.65% 38.35% 0.6132 66.64% 33.36% 0.6633 Potatoes 43 313 61.86% 38.14% 0.6178 81.09% 18.91% 0.8103 Other crops 44 46 20.00% 80.00% 0.1997 69.70% 30.30% 0.6966 Misc. vegetables 47 1101 73.20% 26.80% 0.7301 86.56% 13.44% 0.8644 Onions 49 195 71.96% 28.04% 0.7191 75.29% 24.71% 0.7525 Peas 53 699 66.76% 33.24% 0.6659 77.32% 22.68% 0.7719 Herbs 57 0 0.00% 100.00% 0.0000 n/a n/a n/a Clover / Wildflowers 58 11 2.51% 97.49% 0.0248 26.83% 73.17% 0.2665 Seed / Sod Grass 59 121 36.01% 63.99% 0.3595 73.78% 26.22% 0.7373 Idle / Fallow 61 454 10.90% 89.10% 0.1023 34.14% 65.86% 0.3256 Cherry Orchard 66 2 4.35% 95.65% 0.0435 66.67% 33.33% 0.6666 Peaches 67 0 0.00% 100.00% 0.0000 0.00% 100.00% 0.0000 Apples 68 594 71.65% 28.35% 0.7154 82.04% 17.96% 0.8196 Grapes 69 203 62.46% 37.54% 0.6241 76.32% 23.68% 0.7627 Christmas trees 70 13 26.00% 74.00% 0.2599 92.86% 7.14% 0.9286 Other tree nuts 71 0 0.00% 100.00% 0.0000 n/a n/a n/a Other tree fruits 73 0 0.00% 100.00% 0.0000 n/a n/a n/a *Correct Pixels represents the total number of independent validation pixels correctly identifed in the error matrix. The above accuracy assessment information is for agricultural land cover classes only. The accuracy of the non-agricultural land cover classes within the Cropland Data Layer is entirely dependent upon the USGS, National Land Cover Dataset (NLCD 2001). 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 http://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 Dataset 2001 (NLCD 2001). More information about the FSA CLU Program can be found at http://www.fsa.usda.gov/. More information about the NLCD 2001 can be found at http://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 AWiFS satellite imagery is purchased in an orthorectified and projected format. The Cropland Data Layer retains the spatial attributes of the input AWiFS imagery.
- Quantitative Horizontal Positional Accuracy Assessment
- Lineage
- Source
- Originator
- Indian Remote-Sensing Satellite series of ISRO (Indian Space Research Organization)
- Publication Date
- 2008 growing season
- Title
- RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS)
- Geospatial Data Presentation Form
- remote-sensing image
- Publication Information
- Publication Place
- Washington, D.C. 20008
- Publisher
- EOTec (Earth Observation Technologies, LLC)
- Other Citation Details
- The RESOURCESAT-1 (IRS-P6) AWiFS satellite sensor operates in four spectral bands at a spatial resolution of 56 meters. Additional information about AWiFS data can be obtained at http://www.isro.org/programmes.htm. The AWiFS imagery used in the Cropland Data Layer is obtained through a partnership with the USDA, Foreign Agricultural Service, International Production Assessment (IPA) Program. Refer to the 'Supplemental Information' Section of this metadata file for specific scene date, path, row and quadrants used as classification inputs.
- Source Scale Denominator
- 56 meter
- Type of Source Media
- CD-ROM and/or DVD
- Source Temporal Extent
- Time Period Information
- Range of Dates/Times
- Beginning Date
- 20080101
- Ending Date
- 20081230
- 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
- 2008 growing season
- Title
- Landsat 5 Thematic Mapper (TM)
- Geospatial Data Presentation Form
- remote-sensing image
- Publication Information
- Publication Place
- Sioux Falls, South Dakota 57198-0001
- Publisher
- United States Geological Survey (USGS) Earth Resources Observation and Science (EROS)
- Other Citation Details
- The Landsat 5 TM satellite sensor operates in seven spectral bands at a spatial resolution of 30 meters. The data is resampled to 56 meters to conform to NASS' standard Cropland Data Layer processing methodology. Additional information about Landsat data can be obtained at http://eros.usgs.gov/. 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 (resampled to 56 meter for processing)
- Type of Source Media
- online download
- Source Temporal Extent
- Time Period Information
- Range of Dates/Times
- Beginning Date
- 20080101
- Ending Date
- 20081230
- Source Currentness Reference
- ground condition
- Contribution
- Raw data used in land cover spectral signature analysis
- Source
- Originator
- United States Geological Survey (USGS) and National Aeronautics and Space Administration (NASA) Land Processes Distributed Active Archive Center (LP DAAC)
- Publication Date
- late 2007 growing season (used to improve winter wheat identification) and the entire 2008 growing season
- Title
- Moderate Resolution Imaging Spectroradiometer (MODIS), 250 meter resolution 16-day composite Normalized Difference Vegetation Index (NDVI) from the Terra satellite (MOD13Q1v4)
- Geospatial Data Presentation Form
- vegetation indices based on remote-sensing imagery
- Publication Information
- Publication Place
- Sioux Falls, South Dakota 57198 USA
- Publisher
- USGS Center for Earth Resources Observation and Sciences (EROS)
- Other Citation Details
- The Moderate Resolution Imaging Spectroradiometer (MODIS), 250 meter resolution 16-day composite Normalized Difference Vegetation Index (NDVI) data products from the Terra satellite (MOD13Q1v4) are downloaded from https://lpdaac.usgs.gov/. Often late-season MODIS NDVI data are used from the previous growing season in an effort to improve winter wheat detection. Refer to the 'Supplemental Information' Section of this metadata file for specific dates used as classification inputs.
- Source Scale Denominator
- 250 meter
- Type of Source Media
- online download
- Source Temporal Extent
- Time Period Information
- Range of Dates/Times
- Beginning Date
- 20071001
- Ending Date
- 20080930
- Source Currentness Reference
- ground condition
- Source
- Originator
- United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
- Publication Date
- Continuously updated
- 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. Slope and Aspect derived from the DEM are also used as additional classification inputs. More information on the USGS NED can be found at http://ned.usgs.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
- Source
- Originator
- United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center
- Publication Date
- 2006
- Title
- National Land Cover Database 2001 (NLCD 2001)
- 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 2001 was used as ground training and validation for non-agricultural categories. Additionally, the USGS NLCD 2001 Imperviousness and Tree Canopy layers were used as ancillary data sources in the Cropland Data Layer classification process. More information on the NLCD 2001 can be found at http://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
- Source
- Originator
- United States Department of Agriculture (USDA), Farm Service Agency (FSA)
- Publication Date
- 2008
- 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 http://www.fsa.usda.gov/.
- Source Scale Denominator
- 1:4800
- Type of Source Media
- online
- Source Temporal Extent
- Time Period Information
- Single Date/Time
- Calendar Date
- unknown
- Source Currentness Reference
- ground condition, updated annually
- Spatial Data Organization Information
- Direct Spatial Reference Method
- Raster
- Raster Object Information
- Raster Object Type
- Grid Cell
- Row Count
- 8972
- Column Count
- 11759
- Spatial Reference Information
- Horizontal Coordinate System Definition
- Planar
- Grid Coordinate System
- Grid Coordinate System Name
- Universal Transverse Mercator (UTM)
- Universal Transverse Mercator
- UTM Zone Number
- 18 North
- Transverse Mercator
- Scale Factor at Central Meridian
- 0.9996
- Longitude of Central Meridian
- -75
- Latitude of Projection Origin
- 0
- False Easting
- 500000
- False Northing
- 0
- Planar Coordinate Information
- Planar Coordinate Encoding Method
- coordinate pair
- Coordinate Representation
- Abscissa Resolution
- 56
- Ordinate Resolution
- 56
- Planar Distance Units
- meters
- Geodetic Model
- Horizontal Datum Name
- WGS84
- Ellipsoid Name
- WGS84
- Semi-major Axis
- 6378137.00
- 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 United States Geological Survey (USGS) National Land Cover Dataset 2001 (NLCD 2001). 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 this internet site http://www.nass.usda.gov/research/Cropland/metadata/meta.htm to view the original metadata file. Data Dictionary: USDA, National Agricultural Statistics Service, 2008 New York 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: ROW CROPS 1-20 Categorization Code Land Cover "1" Corn "2" Cotton "3" Rice "4" Sorghum "5" Soybeans "6" Sunflowers "10" Peanuts "11" Tobacco "12" Sweet Corn "13" Popcorn or Ornamental Corn Raster Attribute Domain Values and Definitions: GRAINS,HAY,SEEDS 21-40 Categorization Code Land Cover "21" Barley "22" Durum Wheat "23" Spring Wheat "24" Winter Wheat "25" Other Small Grains "26" Winter Wheat/Soybeans Double-Cropped "27" Rye "28" Oats "29" Millet "30" Speltz "31" Canola "32" Flaxseed "33" Safflower "34" Rape seed "35" Mustard "36" Alfalfa "37" Other Hays "38" Camelina Raster Attribute Domain Values and Definitions: OTHER CROPS 41-60 Categorization Code Land Cover "41" Sugarbeets "42" Dry Beans "43" Potatoes "44" Other Crops "45" Sugarcane "46" Sweet Potatoes "47" Miscellaneous Vegetables Fruit "48" Watermelon "49" Onions "50" Cucumber/Pickles "51" Chick Peas "52" Lentils "53" Peas "56" Hops "57" Herbs "58" Clover/Wildflowers "59" Seed/Sod Grass "60" Switchgrass Raster Attribute Domain Values and Definitions: OPEN NON-CROP 61-65 Categorization Code Land Cover "61" Fallow/Idle Cropland "62" Grass/Pasture/Non-agricultural "63" Woodland "64" Shrubland "65" Barren Raster Attribute Domain Values and Definitions: TREE CROPS 66-80 Categorization Code Land Cover "66" Cherry Orchards "67" Peaches "68" Apples "69" Grapes "70" Christmas Trees "71" Other Tree Nuts "72" Citrus "73" Other Tree Fruit "74" Pecans "80" Other Non-Tree Fruit Raster Attribute Domain Values and Definitions: OTHER NON-CROP 81-99 Categorization Code Land Cover "81" Clouds "82" Urban/Developed "83" Water "87" Wetlands "92" Aquaculture Raster Attribute Domain Values and Definitions: NLCD-DERIVED NON-CROP 100-195 Categorization Code Land Cover "111" NLCD - Open Water "112" NLCD - Perennial Ice, Snow "121" NLCD - Developed/Open Space "122" NLCD - Developed/Low Intensity "123" NLCD - Developed/Medium Intensity "124" NLCD - Developed/High Intensity "131" NLCD - Barren "141" NLCD - Deciduous Forest "142" NLCD - Evergreen Forest "143" NLCD - Mixed Forest "152" NLCD - Shrubland "171" NLCD - Grassland Herbaceous "181" NLCD - Pasture/Hay "182" NLCD - Cultivated Crop "190" NLCD - Woody Wetlands "195" NLCD - Herbaceous Wetlands
- 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/00/80/28/cugir-008028.zip
- Online Access
- https://cugir-data.s3.amazonaws.com/00/80/28/fgdc.xml
- Online Access
- https://cugir-data.s3.amazonaws.com/00/80/28/fgdc.html
- Online Access
- https://cugir.library.cornell.edu/geoserver/cugir/wms?version=1.1.0request=GetMaplayers=cugir008028bbox=-80.24688124,40.26650988,-71.39990076000001,45.16148812width=256height=141srs=EPSG:4326format=image/png
- Name
- Name
- Distribution Information
- Format Name
- GEOTIFF
- Distributor
- USDA, NASS Customer Service
- Online Access
- http://datagateway.nrcs.usda.gov/
- Name
- Name
- Metadata Reference Information
- Metadata Date
- 20190604
- 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