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

Metadata:

Identification_Information
Data_Quality_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
Entity_and_Attribute_Information
Distribution_Information
Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

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: 20100104

Title:

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

Edition: 2009 Edition

Geospatial_Data_Presentation_Form: raster digital data

Publication_Information:

Publication_Place:: USDA, NASS Marketing and Information Services Office, Washington, D.C.
Publisher: USDA, NASS

Other_Citation_Details:

NASS maintains a Frequently Asked Questions (FAQ's) section on the CDL website at <http://www.nass.usda.gov/research/Cropland/SARS1a.htm>. The data is available free for download through CropScape at <http://nassgeodata.gmu.edu/CropScape/>. 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 Geospatial Data Gateway download instructions.

Online_Linkage: <http://nassgeodata.gmu.edu/CropScape/TX>

Description:

Abstract:

The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2009 CDL has a ground resolution of 56 meters. The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, and the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) 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), the USGS National Land Cover Database 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.
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 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 <http://www.nass.usda.gov/research/Cropland/metadata/meta.htm>.

USDA, National Agricultural Statistics Service 2009 Texas Cropland Data Layer

CLASSIFICATION INPUTS:
AWIFS DATE 20081017 PATH 263 ROW(S)&QUADRANT(S) 45BD 50B
AWIFS DATE 20081019 PATH 273 ROW(S)&QUADRANT(S) 45BD 50B
AWIFS DATE 20081028 PATH 270 ROW(S)&QUADRANT(S) 40BD 45BD 50BD
AWIFS DATE 20081101 PATH 266 ROW(S)&QUADRANT(S) 40BD 45BD 50B
AWIFS DATE 20081116 PATH 269 ROW(S)&QUADRANT(S) 45BD 50B
AWIFS DATE 20081125 PATH 266 ROW(S)&QUADRANT(S) 40BD 45BD 50B
AWIFS DATE 20090315 PATH 264 ROW(S)&QUADRANT(S) 35D 40BD 45BD 50B
AWIFS DATE 20090330 PATH 267 ROW(S)&QUADRANT(S) 45BD 50BD
AWIFS DATE 20090403 PATH 263 ROW(S)&QUADRANT(S) 35B 45BD 50B
AWIFS DATE 20090507 PATH 265 ROW(S)&QUADRANT(S) 40BD 45BD
AWIFS DATE 20090526 PATH 264 ROW(S)&QUADRANT(S) 45D 50B
AWIFS DATE 20090615 PATH 268 ROW(S)&QUADRANT(S) 35B 45BD 50B
AWIFS DATE 20090616 PATH 273 ROW(S)&QUADRANT(S) 45BD 50B
AWIFS DATE 20090625 PATH 270 ROW(S)&QUADRANT(S) 35D 40BD 45BD 50B
AWIFS DATE 20090704 PATH 267 ROW(S)&QUADRANT(S) 40C 45AD 49AB 50B
AWIFS DATE 20090709 PATH 268 ROW(S)&QUADRANT(S) 40ABCD 45ABCD 50AB
AWIFS DATE 20090710 PATH 273 ROW(S)&QUADRANT(S) 45CD 50AB
AWIFS DATE 20090801 PATH 263 ROW(S)&QUADRANT(S) 35AC 40BC 45ABD
AWIFS DATE 20090802 PATH 268 ROW(S)&QUADRANT(S) 37CD 40ABCD 45ABD 50BD
AWIFS DATE 20090803 PATH 273 ROW(S)&QUADRANT(S) 38C 40ABCD 43A 45CD 50B
AWIFS DATE 20090807 PATH 269 ROW(S)&QUADRANT(S) 40CD 45ABD 50B
AWIFS DATE 20090811 PATH 265 ROW(S)&QUADRANT(S) 35CD 40ABCD 45ABD
AWIFS DATE 20090812 PATH 270 ROW(S)&QUADRANT(S) 35ACD 40ABCD 45ABCD 50B
AWIFS DATE 20090821 PATH 267 ROW(S)&QUADRANT(S) 45BD
AWIFS DATE 20090826 PATH 268 ROW(S)&QUADRANT(S) 45BD 50B
AWIFS DATE 20090830 PATH 264 ROW(S)&QUADRANT(S) 35BD 45D 50B

LANDSAT 5 TM DATE 20090221 PATH 031 ROW(S) 35 36 37 38 39 40
LANDSAT 5 TM DATE 20090403 PATH 030 ROW(S) 35 36 37 38 39 40
LANDSAT 5 TM DATE 20090407 PATH 026 ROW(S) 26 27 29 30 31 32 33 34 37 38 39 40 41 42
LANDSAT 5 TM DATE 20090414 PATH 027 ROW(S) 28 29 30 31 32 33 34 37 38 39 40 41 42
LANDSAT 5 TM DATE 20090421 PATH 028 ROW(S) 36 37 38 39 40 41
LANDSAT 5 TM DATE 20090518 PATH 025 ROW(S) 28 32 33 34 35 37 38 39 40
LANDSAT 5 TM DATE 20090528 PATH 031 ROW(S) 28 29 30 32 33 34 35 36 37 38 39 40
LANDSAT 5 TM DATE 20090608 PATH 028 ROW(S) 36 37 38 39 41
LANDSAT 5 TM DATE 20090615 PATH 029 ROW(S) 26 33 34 35 36 37 38 39 40
LANDSAT 5 TM DATE 20090619 PATH 025 ROW(S) 37 38 39 40
LANDSAT 5 TM DATE 20090622 PATH 030 ROW(S) 29 30 31 32 33 34 35 36 37 38 39 40
LANDSAT 5 TM DATE 20090626 PATH 026 ROW(S) 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42
LANDSAT 5 TM DATE 20090708 PATH 030 ROW(S) 26 27 28 30 31 32 33 34 35 36 37 38 39 40
LANDSAT 5 TM DATE 20090710 PATH 028 ROW(S) 36 37 38 39 40 41
LANDSAT 5 TM DATE 20090712 PATH 026 ROW(S) 26 27 28 30 35 36 37 38 39 40 41
LANDSAT 5 TM DATE 20090715 PATH 031 ROW(S) 28 29 31 32 33 34 35 37 38 39 40
LANDSAT 5 TM DATE 20090717 PATH 029 ROW(S) 28 29 30 31 32 33 36 37 38 39 40
LANDSAT 5 TM DATE 20090724 PATH 030 ROW(S) 26 27 28 29 30 31 33 34 35 36 37 38 39
LANDSAT 5 TM DATE 20090728 PATH 026 ROW(S) 39 40 41 42
LANDSAT 5 TM DATE 20090802 PATH 029 ROW(S) 31 32 33 34 35 36 37 38 39 40
LANDSAT 5 TM DATE 20090804 PATH 027 ROW(S) 37 38 39 40 41 42
LANDSAT 5 TM DATE 20090809 PATH 030 ROW(S) 35 36 37 38 39
LANDSAT 5 TM DATE 20090811 PATH 028 ROW(S) 37 38 39 40
LANDSAT 5 TM DATE 20090816 PATH 031 ROW(S) 31 32 33 34 35 36 37
LANDSAT 5 TM DATE 20090818 PATH 029 ROW(S) 27 28 29 30 37 38 39
LANDSAT 5 TM DATE 20090822 PATH 025 ROW(S) 37 38 39 40
LANDSAT 5 TM DATE 20090823 PATH 032 ROW(S) 26 27 28 30 32 34 38 39
LANDSAT 5 TM DATE 20090825 PATH 030 ROW(S) 26 27 28 29 30 35 36 37 38 39 40
LANDSAT 5 TM DATE 20090829 PATH 026 ROW(S) 37 38 39
LANDSAT 5 TM DATE 20090901 PATH 031 ROW(S) 32 33 34 35 36 37 38
LANDSAT 5 TM DATE 20090907 PATH 025 ROW(S) 27 28 37 38 39 40
LANDSAT 5 TM DATE 20090914 PATH 026 ROW(S) 41 42
LANDSAT 5 TM DATE 20090915 PATH 033 ROW(S) 32 33 34 38
LANDSAT 5 TM DATE 20090919 PATH 029 ROW(S) 35 36 37 38 39
LANDSAT 5 TM DATE 20090921 PATH 027 ROW(S) 37 38 39 40 41 42

MODIS 16 DAY NDVI COMPOSITE DATE 20081031
MODIS 16 DAY NDVI COMPOSITE DATE 20081116
MODIS 16 DAY NDVI COMPOSITE DATE 20081202
MODIS 16 DAY NDVI COMPOSITE DATE 20081218
MODIS 16 DAY NDVI COMPOSITE DATE 20090423
MODIS 16 DAY NDVI COMPOSITE DATE 20090509

USGS, NATIONAL ELEVATION DATASET ELEVATION
USGS, NATIONAL LAND COVER DATABASE 2001 TREE CANOPY
USGS, NATIONAL LAND COVER DATABASE 2001 IMPERVIOUSNESS

TRAINING AND VALIDATION:
USDA, FARM SERVICE AGENCY 2009 COMMON LAND UNIT DATA
USGS, NATIONAL LAND COVER DATABASE 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.

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20090101
Ending_Date: 20091231

Currentness_Reference: 2009 growing season

Status:

Progress: Complete
Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -107.0544
East_Bounding_Coordinate: -93.7751
North_Bounding_Coordinate: 36.2959
South_Bounding_Coordinate: 25.7525

Keywords:

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: farming, 001
Theme_Keyword: environment, 007
Theme_Keyword: imageryBaseMapsEarthCover, 010

Theme:

Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Science Keywords
Theme_Keyword:: Earth Science > Biosphere > Terrestrial Ecosystems > Agricultural Lands
Theme_Keyword: Earth Science > Land Surface > Land Use/Land Cover > Land Cover

Theme:

Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Instrument Keywords
Theme_Keyword: MODIS > Moderate-Resolution Imaging Spectroradiometer

Theme:

Theme_Keyword_Thesaurus: None
Theme_Keyword: crop cover
Theme_Keyword: cropland
Theme_Keyword: agriculture
Theme_Keyword: land cover
Theme_Keyword: crop estimates
Theme_Keyword: AWiFS
Theme_Keyword: MODIS
Theme_Keyword: Landsat
Theme_Keyword: Cropscape

Place:

Place_Keyword_Thesaurus: Global Change Master Directory (GCMD) Location Keywords
Place_Keyword: Continent > North America > United States of America > Texas

Place:

Place_Keyword_Thesaurus: None
Place_Keyword: Texas
Place_Keyword: TX

Temporal:

Temporal_Keyword_Thesaurus: None
Temporal_Keyword: 2009

Access_Constraints: None

Use_Constraints:

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) file formats then we suggest using the Cropscape website <http://nassgeodata.gmu.edu/CropScape/> or the freeware browser ESRI ArcGIS Explorer <http://www.esri.com/>.

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA, NASS, Spatial Analysis Research Section
Contact_Person: USDA, NASS, Spatial Analysis Research Section staff

Contact_Address:

Address_Type: mailing and physical address
Address: 3251 Old Lee Highway, Room 305
City: Fairfax
State_or_Province: Virginia
Postal_Code: 22030-1504
Country: USA

Contact_Voice_Telephone: 703-877-8000

Contact_Facsimile_Telephone: 703-877-8044

Contact_Electronic_Mail_Address: HQ_RDD_GIB@nass.usda.gov

Data_Set_Credit: USDA, National Agricultural Statistics Service

Security_Information:

Security_Classification_System: None
Security_Classification: Unclassified
Security_Handling_Description: None

Native_Data_Set_Environment:

Microsoft Windows XP; ERDAS Imagine Versions 9.1, 9.2 and 9.3 <http://www.erdas.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/>.
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:

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, 2009 Texas Cropland Data Layer
STATEWIDE AGRICULTURAL ACCURACY REPORT

Crop-specific covers only  *Correct  Accuracy   Error   Kappa
-------------------------   -------  --------  ------   -----
OVERALL ACCURACY            1360153    79.51%  20.49%  0.7375


Cover                    Attribute  *Correct  Producer's  Omission            User's  Commission  Cond'l
Type                          Code    Pixels   Accuracy     Error    Kappa  Accuracy      Error    Kappa
----                          ----    ------   --------     -----    -----  --------      -----    -----
Corn                             1    168076     90.13%     9.87%   0.8889    87.50%     12.50%   0.8597
Cotton                           2    302210     86.83%    13.17%   0.8346    86.71%     13.29%   0.8332
Rice                             3     31618     93.81%     6.19%   0.9369    93.93%      6.07%   0.9381
Sorghum                          4    126309     67.07%    32.93%   0.6322    70.48%     29.52%   0.6683
Soybeans                         5     15152     62.79%    37.21%   0.6235    76.02%     23.98%   0.7568
Sunflowers                       6      1313     37.80%    62.20%   0.3773    70.48%     29.52%   0.7042
Peanuts                         10      2368     41.40%    58.60%   0.4126    58.40%     41.60%   0.5826
Sweet corn                      12         0      0.00%   100.00%   0.0000      n/a        n/a      n/a
Barley                          21        20      5.48%    94.52%   0.0547    15.87%     84.13%   0.1586
Spring wheat                    23       997     28.03%    71.97%   0.2793    44.31%     55.69%   0.4420
Winter wheat                    24    585980     89.47%    10.53%   0.8308    90.62%      9.38%   0.8481
Other grains                    25      1144     23.39%    76.61%   0.2331    70.27%     29.73%   0.7019
WW / Soybeans                   26       398     24.02%    75.98%   0.2400    75.52%     24.48%   0.7550
Rye                             27       680     25.87%    74.13%   0.2580    43.01%     56.99%   0.4292
Oats                            28     13787     43.48%    56.52%   0.4274    62.05%     37.95%   0.6134
Millet                          29         0      0.00%   100.00%   0.0000     0.00%    100.00%  -0.0002
Canola                          31       341     54.47%    45.53%   0.5446    79.12%     20.88%   0.7911
Flaxseed                        32         0       n/a       n/a      n/a      0.00%    100.00%   0.0000
Safflower                       33        81      8.98%    91.02%   0.0897    38.21%     61.79%   0.3817
Alfalfa                         36      6230     78.57%    21.43%   0.7849    94.04%      5.96%   0.9401
Dry beans                       42       142     86.59%    13.41%   0.8658    74.35%     25.65%   0.7434
Potatoes                        43       414     72.13%    27.87%   0.7212    89.42%     10.58%   0.8941
Other crops                     44        24      8.45%    91.55%   0.0845    34.29%     65.71%   0.3427
Sugar cane                      45        96     77.42%    22.58%   0.7742    83.48%     16.52%   0.8348
Sweet pototoes                  46        20     55.56%    44.44%   0.5556   100.00%      0.00%   1.0000
Misc. vegetables                47       735     78.61%    21.39%   0.7860    80.15%     19.85%   0.8014
Watermelon                      48        27     50.94%    49.06%   0.5094    79.41%     20.59%   0.7941
Onions                          49        14     15.38%    84.62%   0.1538    32.56%     67.44%   0.3255
Peas                            53        85     21.04%    78.96%   0.2103    36.96%     63.04%   0.3694
Herbs                           57        51      9.60%    90.40%   0.0959    23.83%     76.17%   0.2381
Clover / Wildflowers            58         4      2.65%    97.35%   0.0265    13.33%     86.67%   0.1333
Idle / Fallow                   61     99871     48.79%    51.21%   0.4467    78.43%     21.57%   0.7550
Peaches                         67         0      0.00%   100.00%   0.0000      n/a        n/a      n/a
Grapes                          69         0      0.00%   100.00%   0.0000      n/a        n/a      n/a
Christmas trees                 70         0      0.00%   100.00%   0.0000     0.00%    100.00%   0.0000
Other tree nuts                 71      1960     65.09%    34.91%   0.6505    90.41%      9.59%   0.9039
Citrus                          72         6     31.58%    68.42%   0.3158   100.00%      0.00%   1.0000
Aquaculture                     92       331     41.17%    58.83%   0.4116    88.27%     11.73%   0.8826

*Correct Pixels represents the total number of independent validation pixels correctly identified
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 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/>.

Quantitative_Attribute_Accuracy_Assessment:

Attribute_Accuracy_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.
Attribute_Accuracy_Explanation:: 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.

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 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.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:: 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.

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator:

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

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

Geospatial_Data_Presentation_Form: remote-sensing image

Publication_Information:

Publisher: EOTec (Earth Observation Technologies, LLC)
Publication_Place: Washington, D.C. 20008

Publication_Date: 2009 growing season

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.

Source_Scale_Denominator: 56 meter

Type_of_Source_Media: CD-ROM and/or DVD

Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20090925
Ending_Date: 20091230

Source_Currentness_Reference: ground condition

Source_Contribution: Raw data used in land cover spectral signature analysis

Source_Information:

Source_Citation:

Citation_Information:

Originator:

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

Title:

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

Geospatial_Data_Presentation_Form: remote-sensing image

Publication_Information:

Publisher: USGS, EROS
Publication_Place: Sioux Falls, South Dakota 57198-001

Publication_Date: 2009 growing season

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.

Source_Scale_Denominator: 30 meter

Type_of_Source_Media: online download

Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20091001
Ending_Date: 20091230

Source_Currentness_Reference: ground condition

Source_Contribution: Raw data used in land cover spectral signature analysis

Source_Information:

Source_Citation:

Citation_Information:

Originator:

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

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:

Publisher: USGS Center for Earth Resources Observation and Sciences (EROS)
Publication_Place: Sioux Falls, South Dakota 57198 USA

Publication_Date: late 2009 growing season and the entire 2009 growing season

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_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20091001
Ending_Date: 20090930

Source_Currentness_Reference: ground condition

Source_Contribution: NDVI data used in land cover spectral signature analysis

Source_Information:

Source_Citation:

Citation_Information:

Originator:

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

Title: The National Elevation Dataset (NED)

Geospatial_Data_Presentation_Form: remote-sensing image

Publication_Information:

Publisher: USGS, EROS Data Center
Publication_Place: Sioux Falls, South Dakota 57198 USA

Publication_Date: Continuously updated

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_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: unknown

Source_Currentness_Reference: ground condition

Source_Contribution:

spatial and attribute information used in land cover spectral signature analysis

Source_Information:

Source_Citation:

Citation_Information:

Originator:

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

Title: National Land Cover Database 2001 (NLCD 2001)

Geospatial_Data_Presentation_Form: remote-sensing image

Publication_Information:

Publisher: USGS, EROS Data Center
Publication_Place: Sioux Falls, South Dakota 57198 USA

Publication_Date: 2006

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_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: unknown

Source_Currentness_Reference: ground condition

Source_Contribution:

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

Source_Information:

Source_Citation:

Citation_Information:

Originator:

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

Title: USDA, FSA Common Land Unit (CLU)

Geospatial_Data_Presentation_Form: vector digital data

Publication_Information:

Publisher: USDA, FSA Aerial Photography Field Office
Publication_Place: Salt Lake City, Utah 84119-2020 USA

Publication_Date: 2009

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_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: unknown

Source_Currentness_Reference: ground condition, updated annually

Source_Contribution:

spatial and attribute information used in the spectral signature training and validation of agricultural land cover

Process_Step:

Process_Description:

OVERVIEW: The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL) Program is a unique agricultural-specific land cover geospatial product that is reproduced annually in participating states. The CDL Program builds upon NASS' traditional crop acreage estimation program and integrates Farm Service Agency (FSA) grower-reported field data with satellite imagery to create an unbiased statistical estimator of crop area at the state and county level for internal use. It is important to note that the internal acreage estimates produced using the CDL are not simple pixel counting. It is more of an 'Adjusted Census by Satellite.'

SOFTWARE: ERDAS Imagine is used in the pre- and post- processing of all raster-based data. ESRI ArcGIS is used to prepare the vector-based 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.

DECISION TREE CLASSIFIER: This Cropland Data Layer used the decision tree classifier approach. Using a decision tree classifier is a departure from older versions of the CDL which were created using in-house software (Peditor) based upon a maximum likelihood classifier approach. Check the 'Process Description' section of the specific state and year metadata file to verify the methodology used. Decision trees offer several advantages over the more traditional maximum likelihood classification method. The advantages include being: 1) non-parametric by nature and thus not reliant on the assumption of the input data being normally distributed, 2) efficient to construct and thus capable of handling large and complex data sets, 3) able to incorporate missing and non-continuous data, and 4) able to sort out non-linear relationships.

GROUND TRUTH: As with the maximum likelihood method, decision tree analysis is a supervised classification technique. Thus, it relies on having a sample of known ground truth areas in which to train the classifier. Older versions of the CDL (prior to 2006) utilized ground truth data from the annual June Agricultural Survey (JAS). Beginning in 2006, the CDL utilizes the very comprehensive ground truth data provided from the FSA Common Land Unit (CLU) Program as a replacement for the JAS data. The FSA CLU data have the advantage of natively being in a GIS and containing magnitudes more of field level information. Disadvantages include that it is not truly a probability sample of land cover and has bias toward subsidized program crops. Additional information about the FSA data can be found at <http://www.fsa.usda.gov/>.

INPUTS: The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, and the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) 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), the USGS National Land Cover Database 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. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery and ancillary data used to generate this state's CDL.

ACCURACY: The accuracy of the land cover classifications are evaluated using independent validations data sets generated from the FSA CLU data (agricultural categories) and the NLCD 2001 (non-agricultural categories). The Producer's 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 full accuracy report.

PUBLIC RELEASE: The USDA, NASS Cropland Data Layer is considered public domain and free to redistribute. The official website is <http://www.nass.usda.gov/research/Cropland/SARS1a.htm>. The data is available free for download through CropScape <http://nassgeodata.gmu.edu/CropScape/> and the Geospatial Data Gateway <http://datagateway.nrcs.usda.gov/>. See the 'Ordering Instructions' section of this metadata file for detailed download instructions. Please note that in no case are farmer reported data revealed or derivable from the public use Cropland Data Layer.

Process_Date: 2009

Process_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA, NASS, Spatial Analysis Research Section
Contact_Person: USDA, NASS, Spatial Analysis Research Section staff

Contact_Address:

Address_Type: mailing and physical address
Address: 3251 Old Lee Highway, Room 305
City: Fairfax
State_or_Province: Virginia
Postal_Code: 22030-1504
Country: USA

Contact_Voice_Telephone: 703-877-8000

Contact_Facsimile_Telephone: 703-877-8044

Contact_Electronic_Mail_Address: HQ_RDD_GIB@nass.usda.gov

Cloud_Cover:

Generally, there is enough cloud-free satellite imagery available during the growing season that there will be no cloud cover in the published CDL. Older versions of the CDL (prior to 2006) may contain significant cloud cover due to available imagery and processing limitations, which have since been overcome. Reference the attribute information within the specific CDL state and year image file to verify the extent of cloud cover.

Spatial_Data_Organization_Information:

Indirect_Spatial_Reference: Texas

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Pixel
Row_Count: 21221
Column_Count: 22293

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Grid_Coordinate_System:

Grid_Coordinate_System_Name:

FOR GEOSPATIAL DATA GATEWAY USERS: Universal Transverse Mercator (UTM) Due to technical restrictions, the online data available free for download through the Geospatial Data Gateway <http://datagateway.nrcs.usda.gov/> can only be offered in UTM. However, the official Cropland Data Layer available at <http://nassgeodata.gmu.edu/CropScape/> includes the data in its native Albers Conical Equal Area coordinate system.

FOR CROPSCAPE USERS: Albers Conical Equal Area is the native projection used in the production of the Cropland Data Layer. The projection parameters for the Albers projection are as follows:

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: 56
Ordinate_Resolution: 56
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

Universal_Transverse_Mercator:

UTM_Zone_Number: 14 North

Transverse_Mercator:

Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -99
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:

Overview_Description:

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 Database 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 the following website to view the original metadata file <http://www.nass.usda.gov/research/Cropland/metadata/meta.htm>.

 Data Dictionary: USDA, National Agricultural Statistics Service, 2009 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 1-20

 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

 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"       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

 Raster
 Attribute Domain Values and Definitions: CROPS 41-60

 Categorization Code   Land Cover
          "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
          "62"       Pasture/Grass
          "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
         "171"       Grassland Herbaceous
         "181"       Pasture/Hay
         "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
         "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
         "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:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA, NASS Customer Service
Contact_Person: USDA, NASS Customer Service Staff

Contact_Address:

Address_Type: mailing and physical address
Address: 1400 Independence Avenue, SW, Room 5038-S
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-9410
Country: USA

Contact_Voice_Telephone: 800-727-9540

Contact_Facsimile_Telephone: 703-877-8044

Contact_Electronic_Mail_Address: HQ_RDD_GIB@nass.usda.gov

Contact_Instructions:

Please visit the official website <http://www.nass.usda.gov/research/Cropland/SARS1a.htm> for distribution details. The Cropland Data Layer is available free for download at <http://nassgeodata.gmu.edu/CropScape/> and <http://datagateway.nrcs.usda.gov/>. Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540.

Resource_Description: Cropland Data Layer - Texas 2009

Distribution_Liability:

Disclaimer: Users of the Cropland Data Layer (CDL) are solely responsible for interpretations made from these products. The CDL is provided 'as is' and the USDA, NASS does not warrant results you may obtain using the Cropland Data Layer. Contact our staff at (HQ_RDD_GIB@nass.usda.gov) if technical questions arise in the use of the CDL. NASS does maintain a Frequently Asked Questions (FAQ's) section on the CDL website at <http://www.nass.usda.gov/research/Cropland/SARS1a.htm>.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: GEOTIFF
Format_Version_Date: Texas 2009
Format_Information_Content: GEOTIFF
Transfer_Size:: The image file size will vary depending on the state and completeness of coverage. The user can specify the state, or a user-defined area of interest, and year(s) of CDL data to download at the Cropscape website <http://nassgeodata.gmu.edu/CropScape/>.
When downloading the data through the Geospatial Data Gateway <http://datagateway.nrcs.usda.gov/> all available years of CDL production for the requested state are included in one compressed file. Technical restrictions do not allow us to offer the CDL by individual state/year through the Geospatial Data Gateway. See the 'Ordering Instructions' section of this metadata file for additional information.

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name: <http://nassgeodata.gmu.edu/CropScape/>

Access_Instructions:

. The Cropland Data Layer is also available free for download from the NRCS Geospatial Data Gateway at .
See the 'Ordering Instructions' section of this metadata file for detailed Geospatial Data Gateway download instructions.

Fees:

Ordering_Instructions:

The CDL is available online and free for download from the Cropscape website <http://nassgeodata.gmu.edu/CropScape/>. The Cropland Data Layer is also available free for download from the NRCS Geospatial Data Gateway at <http://datagateway.nrcs.usda.gov/>.

IMPORTANT NOTE: When downloading the CDL using the NRCS Geospatial Data Gateway all available years of CDL production for the requested state are included in a single compressed file. Geospatial Data Gateway technical restrictions do not allow us to offer the CDL by individual state/year. We are working on offering this option in the future.

Instructions for downloading from the NRCS Geospatial Data Gateway:

Start by clicking on 'Get Data'

Then click on 'Quick State'

Scroll down to choose your state and click 'Continue'

Choose 'Land_use_land_cover' and select 'Cropland Data Layer by State' and 'Continue to Step3'

Choose 'Continue' to Step4

Lastly, you are given the option to download the data for free.

Custom_Order_Process:

For a list of other states and years of available CDL data please visit <http://nassgeodata.gmu.edu/CropScape/> or <http://www.nass.usda.gov/research/Cropland/SARS1a.htm>. Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540.

Technical_Prerequisites:

If the user does not have software capable of viewing GEOTIF (.tif) or ERDAS Imagine (.img) file formats then we suggest using the Cropscape website <http://nassgeodata.gmu.edu/CropScape/> or using the freeware browser ESRI ArcGIS Explorer <http://www.esri.com/>.

Metadata_Reference_Information:

Metadata_Date: 20120131

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA, NASS, Spatial Analysis Research Section
Contact_Person: USDA, NASS, Spatial Analysis Research Section Staff

Contact_Address:

Address_Type: mailing and physical address
Address: 3251 Old Lee Highway, Room 305
City: Fairfax
State_or_Province: Virginia
Postal_Code: 22030-1504
Country: USA

Contact_Voice_Telephone: 703-877-8000

Contact_Facsimile_Telephone: 703-877-8044

Contact_Electronic_Mail_Address: HQ_RDD_GIB@nass.usda.gov

Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Access_Constraints: No restrictions on the distribution or use of the metadata file

Metadata_Use_Constraints: No restrictions on the distribution or use of the metadata file

Generated by mp version 2.9.12 on Fri Jan 27 20:45:17 2012