Stratification of Texas 2019

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Frequently-anticipated questions:


What does this data set describe?

    Title: Stratification of Texas 2019
    Abstract:
    The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. The boundaries of the strata usually follow identifiable features such as roads, railroads and waterways. The strata boundaries do not coincide with any political boundaries, with the exception of state boundaries.

    Supplemental_Information: N/A

  1. How should this data set be cited?

    United States Department of Agr, National Agricultural Statistics Service, 2019, Stratification of Texas 2019: U.S. Department of Agriculture, National Agricultural Statistics Service, Washington, DC.

    Online Links:

    • https://www.nass.usda.gov/Research_and_Science/stratafront2b.php

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -106.65
    East_Bounding_Coordinate: -93.51
    North_Bounding_Coordinate: 36.50
    South_Bounding_Coordinate: 25.84

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Calendar_Date: 2019
    Currentness_Reference: N/A

  5. What is the general form of this data set?

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

      Indirect_Spatial_Reference:
      U.S. Department of Commerce, 1990, Counties and Equivalent Entities of The United States, Its Possessions, and Associated Areas (Federal Information Processing Standard 6-4): Washington, D.C. National Institute of Standards and Technology.
      This is a Vector data set. It contains the following vector data types (SDTS terminology):
      • G-Polygon (31,622)

    2. What coordinate system is used to represent geographic features?

      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 14
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: -99.00
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000.00
      False_Northing: 0.0

      Planar coordinates are encoded using row and column
      Abscissae (x-coordinates) are specified to the nearest 30
      Ordinates (y-coordinates) are specified to the nearest 30
      Planar coordinates are specified in Meters

      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodetic Reference 80.
      The semi-major axis of the ellipsoid used is 6378137.00.
      The flattening of the ellipsoid used is 1/298.257.

  7. How does the data set describe geographic features?

    Land Use Strata
    Homogenous land use area based on percent cultivated (Source: U.S. Department of Agriculture, National Agricultural Statistics Service)

    Strata
    Land use category based on percent cultivated (Source: U.S. Department of Agriculture, National Agricultural Statistics Service)

    ValueDefinition
    10more than 75% cultivated.
    2015% - 75% cultivated.
    31Agri-urban: > 100 homes psqmi.
    32Commercial: > 100 homes psqmi.
    40less than 15% cultivated.
    50Non-agricultural land.
    62water.

    Sum_area
    The stratum area in square miles. (Source: U.S. Department of Agriculture, National Agricultural Statistics Service)

    Range of values
    Minimum:257.37 (actual value, not range)
    Maximum:192,333.41 (actual value, not range)

    Sum_acres
    The amount of acres in a stratum. (Source: U.S. Department of Agriculture, National Agricultural Statistics Service)

    Range of values
    Minimum:164,714.41 (actual value, not range)
    Maximum:123,093,382.01 (actual value, not range)


Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

  2. Who also contributed to the data set?

    GeoSSS staff

  3. To whom should users address questions about the data?

    Matt Deaton
    USDA/NASS/RDD/GEOSSS
    1400 Independence Avenue SW
    Washington DC, DC 20250

    202 690 0449 (voice)
    HQ_RD_OD@nass.usda.gov


Why was the data set created?

These data are intended for geographic display and analysis at the state level. The data should be displayed and analyzed at a scale of 1:100,000 or smaller (e.g., 1:250,000, etc.). The strata data are provided "as is". USDA/NASS does not warrant results you may obtain using the strata data.


How was the data set created?

  1. From what previous works were the data drawn?

    NAIP (source 1 of 6)
    Agency, Farm Service , 2016, National Agricultural Imagery Program (NAIP): Aerial Photography Field Office (APFO), Salt Lake City, UT.

    Type_of_Source_Media: digital imagery
    Source_Scale_Denominator: 2000
    Source_Contribution: Spatial and attribute information

    TopoDRG24 (source 2 of 6)
    U.S. Geological Survey (USGS), 1979 - 1991, USGS Topographic Quadrangles: U.S. Geological Survey, Reston, VA.

    Type_of_Source_Media: On-line
    Source_Scale_Denominator: 24000
    Source_Contribution: Spatial and attribute information

    TIGER (source 3 of 6)
    U.S. Department of Commerce, U.S. Census Bureau, Geography Divisi, 2010, TIGER/Line Shapefile, 2010, 2010 state, Texas, 2010 Census Block State-based: U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch, Suitland, MD.

    Type_of_Source_Media: digital download
    Source_Contribution: Spatial and attribute information

    NASS-CDL (source 4 of 6)
    USDA/NASS/RDD/GIB/AFS, 2012 - 2017, Cropland Data Layer: USDA/NASS/RDD/GIB/AFS, Fairfax, VA.

    Type_of_Source_Media: On-line
    Source_Contribution: Spatial and attribute information

    TM8 (source 5 of 6)
    NASA, 2017, Landsat 8 Thematic Mapper Imagery: Space Imaging, Lanham, MD.

    Type_of_Source_Media: Paper
    Source_Scale_Denominator: 250,000
    Source_Contribution: Spatial and attribute information

    AFSPaper (source 6 of 6)
    National Agricultural Statistics Service, 2019, Area Frame Design for Agricultural Surveys: NASS/USDA, Washington, DC.

    Type_of_Source_Media: Paper
    Source_Contribution: Spatial and attribute information

  2. How were the data generated, processed, and modified?

    Date: 2018 (process 1 of 1)
    The area sampling frame for Texas was constructed for use in 2019 and was based on USGS 1:24,000 and 1:100,000 scale topographic maps, 1 meter resolution NAIP imagery, 1:250,000 scale Landsat imagery, and Cropland Data Layer (CDL) 5-year composite. Individual county files were merged into single statefile. The coordinates for the strata polygons are unprojected to geographic latitude and longitude (decimal degrees). The spatial data file format is Environmental Systems Research Institute's ArcMap shapefile format. Gaps and overlaps were corrected within and ESRI personal geodatabase.

    Data sources used in this process:

    • NAIP
    • TopoDRG24000
    • TIGER
    • NASS-CDL
    • TM8
    • AFSPaper

  3. What similar or related data should the user be aware of?


How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?

  2. How accurate are the geographic locations?

    The sources used for digitizing strata boundaries are 1:24,000 scale Digital Raster Graphics and one meter resolution aerial imagery obtained from NAIP (see source below).

  3. How accurate are the heights or depths?

  4. Where are the gaps in the data? What is missing?

    There are no known gaps and overlaps within the state. This data set includes the area in square miles and number of acres for each strata. Boundaries may not be coincident with strata boundaries of adjacent states.

  5. How consistent are the relationships among the observations, including topology?

    Checks for topological consistency were performed on this data set.


How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access_Constraints: None
Use_Constraints:
None. Acknowledgment of the U.S. Department of Agriculture, National Agricultural Statistics Service would be appreciated in products derived from these data.

  1. Who distributes the data set? (Distributor 1 of 1)

    USDA/NASS/RDD/GeoSSS
    1400 Independence Avenue SW
    Washington DC, DC 20250

    202 690 0449 (voice)

    Contact_Instructions: N/A
  2. What's the catalog number I need to order this data set?

  3. What legal disclaimers am I supposed to read?

    Users of the strata data are solely responsible for interpretations made from the product. The strata data are provided "as is". USDA/NASS does not warrant results you may obtain by using the strata data. Feel free to contact our staff at (HQ_RD_OD@nass.usda.gov) if technical questions arise in the use of the strata data.

  4. How can I download or order the data?


Who wrote the metadata?

Dates:
Last modified: 01-Jul-2019

Metadata author:
Matthew Deaton
USDA/NASS/RDD/GeoSSS
1400 Independence Avenue SW
Washington DC, DC 20250

202 690 0449 (voice)
HQ_RD_OD@nass.usda.gov

Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)


Generated by mp version 2.7.33 on Fri May 22 11:35:01 2020