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Cropland Data Layer, New York State, 2008

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
Contribution
NDVI 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
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
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
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
Contribution
spatial and attribute information used in the spectral signature training and validation of non-agricultural land cover
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
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
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
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