USDA, National Agricultural Statistics Service, 2009 Idaho Cropland Data Layer

Resource lineage description

source

source description  Source Contribution: Raw data used in land cover spectral signature analysisSource Type CD-ROM and/or DVD

representative resolution scale:

Scale denominator: 56 meter

source citation

Title RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS)

publication  Date   9999-01-01

presentationForm  imageDigital

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/>. 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. For the 2009 CDL Program, the AWiFS imagery was resampled to 30 meters to match the Landsat spatial resolution. The resample used bilinear interpolation, polynomial approximation, polynomial order of 3.

cited responsible party - publisher

organisation Name  EOTec (Earth Observation Technologies, LLC)

Contact information

Address

, Washington, D.C. 20008

cited responsible party - originator

organisation Name  Indian Remote-Sensing Satellite series of ISRO (Indian Space Research Organization)

source

source description  Source Contribution: Raw data used in land cover spectral signature analysisSource Type online download

representative resolution scale:

Scale denominator: 30 meter

source citation

Title Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+)

publication  Date   9999-01-01

presentationForm  imageDigital

other Citation Details  The Landsat 5 TM and Landsat 7 ETM+ data is free for download through the following website <http://glovis.usgs.gov/>. 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.

cited responsible party - publisher

organisation Name  USGS, EROS

Contact information

Address

, Sioux Falls, South Dakota 57198-001

cited responsible party - originator

organisation Name  United States Geological Survey (USGS), Earth Resources Observation and Science (EROS)

source

source description  Source Contribution: NDVI data used in land cover spectral signature analysisSource Type online download

representative resolution scale:

Scale denominator: 250 meter

source citation

Title Moderate Resolution Imaging Spectroradiometer (MODIS), 250 meter resolution 16-day composite Normalized Difference Vegetation Index (NDVI) from the Terra satellite (MOD13Q1v4)

publication  Date   9999-01-01

presentationForm  VEGETATION INDICES BASED ON REMOTE-SENSING IMAGERY

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.

cited responsible party - publisher

organisation Name  USGS Center for Earth Resources Observation and Sciences (EROS)

Contact information

Address

, Sioux Falls, South Dakota 57198 USA

cited responsible party - originator

organisation Name  United States Geological Survey (USGS) and National Aeronautics and Space Administration (NASA) Land Processes Distributed Active Archive Center (LP DAAC)

source

source description  Source Contribution: spatial and attribute information used in land cover spectral signature analysisSource Type online

representative resolution scale:

Scale denominator: 30 meter

source citation

Title The National Elevation Dataset (NED)

publication  Date   9999-01-01

presentationForm  imageDigital

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.

cited responsible party - publisher

organisation Name  USGS, EROS Data Center

Contact information

Address

, Sioux Falls, South Dakota 57198 USA

cited responsible party - originator

organisation Name  United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center

source

source description  Source Contribution: spatial and attribute information used in the spectral signature training and validation of non-agricultural land coverSource Type online

representative resolution scale:

Scale denominator: 30 meter

source citation

Title National Land Cover Database 2001 (NLCD 2001)

publication  Date   2006-01-01

presentationForm  imageDigital

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.

cited responsible party - publisher

organisation Name  USGS, EROS Data Center

Contact information

Address

, Sioux Falls, South Dakota 57198 USA

cited responsible party - originator

organisation Name  United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Data Center

source

source description  Source Contribution: spatial and attribute information used in the spectral signature training and validation of agricultural land coverSource Type online

representative resolution scale:

Scale denominator: 1:4800

source citation

Title USDA, FSA Common Land Unit (CLU)

publication  Date   2009-01-01

presentationForm  mapDigital

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/>.

cited responsible party - publisher

organisation Name  USDA, FSA Aerial Photography Field Office

Contact information

Address

, Salt Lake City, Utah 84119-2020 USA

cited responsible party - originator

organisation Name  United States Department of Agriculture (USDA), Farm Service Agency (FSA)

AbsoluteExternalPositionalAccuracy

name Of Measure Horizontal Positional Accuracy Report

evaluation Method Description  The Cropland Data Layer retains the spatial attributes of the input imagery. The Landsat 5 TM and Landsat 7 ETM imagery was obtained via download from the USGS Global Visualization Viewer (Glovis) website <http://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 AWiFS imagery used in the production of the Cropland Data Layer is purchased with an orthorectified level of processing. Thus, the CDL will retain the input imagery's positional accuracy of 60 meters at the circular error at the 90 percent confidence level (CE90). CE90 is a standard metric often used for horizontal accuracy in map products and can be interpreted as 90% of well-defined points tested must fall within a certain radial distance.

Completeness Commission

evaluation Method Description  The entire state is covered by the Cropland Data Layer.

Completeness Omission

evaluation Method Description  The entire state is covered by the Cropland Data Layer.

ConceptualConsistency

measure Description  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 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.

QuantitativeAttributeAccuracy

name Of Measure Quantitative Attribute Accuracy Assessment

measure Description  The strength and emphasis of the CDL is crop-specific land cover categories. The accuracy of the CDL non-agricultural land cover classes is entirely dependent upon the USGS, National Land Cover Database (NLCD 2001). Thus, the USDA, NASS recommends that users consider the NLCD for studies involving non-agricultural land cover. 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.

evaluation Method Description  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, 2009 Idaho Cropland Data Layer >STATEWIDE AGRICULTURAL ACCURACY REPORT > >Crop-specific covers only *Correct Accuracy Error Kappa >------------------------- ------- -------- ------ ----- >OVERALL ACCURACY** 412286 83.62% 16.38% 0.8117 > > >Cover ***Attribute *Correct Producer's Omission User's Commission Cond'l >Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa >---- ---- ------ -------- ----- ----- -------- ----- ----- >Corn 1 24430 86.07% 13.93% 0.8577 84.49% 15.51% 0.8416 >Sorghum 4 1 0.68% 99.32% 0.0068 25.00% 75.00% 0.2499 >Soybeans 5 0 0.00% 100.00% 0.0000 n/a n/a n/a >Sunflowers 6 0 0.00% 100.00% 0.0000 n/a n/a n/a >Sweet corn 12 344 18.68% 81.32% 0.1864 56.49% 43.51% 0.5643 >Mint 14 0 0.00% 100.00% 0.0000 n/a n/a n/a >Barley 21 42241 71.57% 28.43% 0.7020 67.62% 32.38% 0.6615 >Durum wheat 22 273 18.01% 81.99% 0.1797 47.81% 52.19% 0.4775 >Spring wheat 23 56434 73.31% 26.69% 0.7168 71.73% 28.27% 0.7003 >Winter wheat 24 83367 89.03% 10.97% 0.8822 88.27% 11.73% 0.8741 >Other grains 25 90 7.96% 92.04% 0.0792 16.04% 83.96% 0.1597 >Rye 27 979 62.92% 37.08% 0.6289 89.65% 10.35% 0.8964 >Oats 28 665 15.85% 84.15% 0.1572 30.05% 69.95% 0.2983 >Canola 31 1110 57.45% 42.55% 0.5741 89.52% 10.48% 0.8950 >Flaxseed 32 0 0.00% 100.00% 0.0000 n/a n/a n/a >Safflower 33 767 47.08% 52.92% 0.4703 54.20% 45.80% 0.5415 >Mustard 35 0 0.00% 100.00% 0.0000 0.00% 100.00% -0.0001 >Alfalfa 36 93352 83.15% 16.85% 0.8160 81.27% 18.73% 0.7959 >Other hays 37 10392 33.74% 66.26% 0.3258 44.10% 55.90% 0.4281 >Camelina 38 20 19.61% 80.39% 0.1960 39.22% 60.78% 0.3921 >Beets 41 16770 91.71% 8.29% 0.9160 92.66% 7.34% 0.9256 >Dry beans 42 8433 73.34% 26.66% 0.7312 75.17% 24.83% 0.7496 >Potatoes 43 39423 91.37% 8.63% 0.9108 87.40% 12.60% 0.8698 >Other crops 44 17 10.76% 89.24% 0.1076 43.59% 56.41% 0.4358 >Misc. vegetables 47 58 38.93% 61.07% 0.3892 34.32% 65.68% 0.3431 >Onions 49 686 77.78% 22.22% 0.7776 87.17% 12.83% 0.8716 >Lentils 52 3747 72.56% 27.44% 0.7246 72.83% 27.17% 0.7272 >Peas 53 4571 65.63% 34.37% 0.6548 78.55% 21.45% 0.7844 >Hops 56 114 67.06% 32.94% 0.6706 89.06% 10.94% 0.8906 >Herbs 57 1472 73.05% 26.95% 0.7302 86.13% 13.87% 0.8611 >Clover / Wildflowers 58 3 2.68% 97.32% 0.0268 14.29% 85.71% 0.1428 >Seed / Sod Grass 59 2640 68.15% 31.85% 0.6807 80.02% 19.98% 0.7997 >Idle / Fallow 61 19842 65.89% 34.11% 0.6517 70.82% 29.18% 0.7016 >Cherry Orchards 66 4 5.00% 95.00% 0.0500 36.36% 63.64% 0.3636 >Peaches 67 31 57.41% 42.59% 0.5741 63.27% 36.73% 0.6326 >Apples 68 45 37.19% 62.81% 0.3719 47.37% 52.63% 0.4736 >Grapes 69 0 0.00% 100.00% 0.0000 0.00% 100.00% 0.0000 >Other tree fruits 73 0 0.00% 100.00% 0.0000 0.00% 100.00% 0.0000 > >*NOTE: Correct Pixels represents the total number of independent validation pixels correctly identified in the error matrix. >**NOTE: The Overall Accuracy represents only the FSA row crops and annual fruit and vegetables (codes 1-61 and 200-255). >FSA-sampled tree and shrub crops, aquaculture, and all NLCD-sampled categories (codes 62-199) 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 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/>. ***NOTE: The attribute codes above may not necessarily match the most current coding scheme. Please check the Entity_and_Attribute_Detail_Citation Section of this metadata file to verify the current attibute codes and category names.

Quantitative Result

result value Classification accuracy 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.

value Units