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Spatial Vegetation Data FAQ Metadata

Frequently-anticipated questions:


What does this data set describe?

Title:
Scotts Bluff National Monument Vegetation Mapping Project - Spatial Vegetation Data
Abstract:
The vegetation units on this map were determined through the stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signature and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized national Vegetation Classification System (October 1995). The mapped vegetation reflects conditions that existed during the specific year and season that the aerial photographs were taken. There is a margin of error inherent in the use of aerial photographs. Therefore, a detailed ground and historical analysis of a single site may result in a revision of the vegetation alliance boundaries established through photographic interpretation.
  1. How should this data set be cited?

    U.S. Geological Survey, and Department of the Interior, 199809, Scotts Bluff National Monument Spatial Vegetation Data: Cover type / Association level of the National Vegetation Classification System: USGS-NPS Vegetation Mapping Program Scotts Bluff National Monument, USGS, Core Science Systems, Core Science Analytics and Synthesis, Denver, CO.

    Online Links:

    Other_Citation_Details:
    Created in large part by Environmental Systems Research Institute, Inc. Redlands, CA under contract rom USGS/CSS/CSAS.

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -103.74663
    East_Bounding_Coordinate: -103.68121
    North_Bounding_Coordinate: 41.86887
    South_Bounding_Coordinate: 41.80845
    Description_of_Geographic_Extent: Scotts Bluff National Monument and environs.

  3. What does it look like?

    <http://biology.usgs.gov/npsveg/scbl/images/scblvegmap.pdf> (PDF)
    Graphic image of map and key

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

    Calendar_Date: 25-Jul-1995
    Currentness_Reference: Source photography date

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

    Geospatial_Data_Presentation_Form: Map

  6. How does the data set represent geographic features?

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

      This is a vector data set.

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

      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 13
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: -105
      Latitude_of_Projection_Origin: 0
      False_Easting: 500000
      False_Northing: 0

      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest 1
      Ordinates (y-coordinates) are specified to the nearest 1
      Planar coordinates are specified in meters

      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodedic Reference System 80.
      The semi-major axis of the ellipsoid used is 6378137.
      The flattening of the ellipsoid used is 1/298.257.

  7. How does the data set describe geographic features?

    Entity_and_Attribute_Overview:
    The National Vegetation Classification Standard is organized hierarchically to support conservation and resource stewardship applications across multiple scales. The upper levels of the hierarchy are based on the physical form or structure of the vegetation (physiognomy) and have been refined from the international standards developed by the United nations Educational, Scientific, and Cultural Organization (UNESCO). The two most detailed levels of the hierarchy are based on the species composition of existing vegetation (floristics) and reflect the phyto-sociological standards that were originally developed by European ecologists. The vegetation classification is continually advanced through the collection and analysis of new field data and will be greatly strengthened during the course of the USGS/NPS mapping efforts. Data file attributes include vegetation height, density, species, alliance, community element, and land cover.

    HEIGHT
    1=< 0.5 meters
    2=0.5 - 2 meters
    3=2 - 5 meters
    4=5 - 15 meters
    5=15 - 35 meters
    6=35 - 50 meters
    7=> 50 meters
    9=Not Applicable

    DENSITY
    1=Closed/Continuous < 60%
    2=Discontinuous 40% - 60%
    3=Dispersed 25% - 40%
    4=Sparse 10% - 25%
    5=Rare 2% - 10%
    9=Not Applicable

    Pattern
    1,'Evenly Dispersed'
    2,'Clumped/Bunched'
    3,'Gradational/Transitional'
    4,'Alternating'
    9,'Not Applicable'

    Entity_and_Attribute_Detail_Citation:
    Grossman, D. Et al. 1994. National Park Service/ National Biological Service Vegetation Mapping Project, Standardized National Vegetation Classification System 209 pp.

  8. What biological taxa does this data set concern?

    Taxonomy:
    Keywords/Taxon:
    Taxonomic_Keyword_Thesaurus: None
    Taxonomic_Keywords: vegetation classification
    Taxonomic_Keywords: Standardized National Vegetation Classification System
    Taxonomic_Keywords: alliance
    Taxonomic_Keywords: community association
    Taxonomic_Classification:
    Taxon_Rank_Name: Kingdom
    Taxon_Rank_Value: Plantae
    Applicable_Common_Name: plants


Who produced the data set?

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

    • U.S. Geological Survey
    • Department of the Interior

  2. Who also contributed to the data set?

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

    USGS/CSS/Core Science Analytics and Synthesis
    c/o USGS-NPS Vegetation Mapping Program Coordinator
    Denver Federal Center, Building 810, Room 8000, MS 302
    Denver, Colorado 80225

    (303) 202-4220 (voice)
    303-202-4219 (FAX)
    gs-b-npsveg@usgs.gov


Why was the data set created?

Provide National Parks with the necessary tools to effectively manage their natural resources.


How was the data set created?

  1. From what previous works were the data drawn?

    scbl Aerial Photos (source 1 of 5)
    Donahue Aerial Survey, Parker, CO, 19950725, Aerial photography (CIR and true color) of Scotts Bluff National Monument: USGS Core Science Analytics and Synthesis, Denver, CO.

    Online Links:

    Other_Citation_Details:
    Aerial photography was taken at a scale of 1:12,000. Original media are in the form of positive transparencies. Photointerpretation was done on contact prints of the true color photos.
    Type_of_Source_Media: Contact paper prints of film transparencies
    Source_Scale_Denominator: 12000
    Source_Contribution:
    These aerial photographs were the basis for the photointerpretation process.

    scbl orthophoto (source 2 of 5)
    County of Scottsbluff, Gering, NE, Unknown, Digital Orthophotograph of Scotts Bluff National Monument: County of Scottsbluff, Gering, NE.

    Other_Citation_Details:
    Scotts Bluff orthophoto is part of a larger project by the county of Scottsbluff to produce a digital basemap for the cities of Scottsbluff and Gering and their immediate surroundings, including all of Scotts Bluff National Monument. The orthophoto was independently verified for horizontal accuracy by use of GPS-derived control points by USGS/CSS.
    Type_of_Source_Media: Cartridge Tape
    Source_Contribution: This digital orthophoto provided the project basemap

    scbl field data (source 3 of 5)
    USGS/CSS, Core Science Analytics and Synthesis, 19980223, Vegetation Sampling and Classification Report: USGS-NPS Vegetation Mapping Program Scottsbluff National Monument, USGS/CSS, Core Science Analytics and Synthesis, Denver, CO.

    Online Links:

    Other_Citation_Details:
    This report was generated by The Nature Conservancy under contract to the USGS/CSS, Core Science Analytics and Synthesis
    Type_of_Source_Media: digital
    Source_Contribution:
    This document provides the Field Key, and Vegetation categories used in the mapping process.

    Accuracy Assessment Procedures Documents (source 4 of 5)
    USGS/CSS, Core Science Analytics and Synthesis, 199411, Accuracy Assessment Procedures, NBS/NPS Vegetation Mapping Program: USGS-NPS Vegetation Mapping Program Scottsbluff National Monument, USGS/CSS, Core Science Analytics and Synthesis, Denver, CO.

    Online Links:

    Other_Citation_Details:
    This report was prepared by Environmental Systems Research Institute; Redlands, CA, National Center for Geographic Information and Analysis, University of California, Santa Barbara, CA and The Nature Conservancy, Arlington, VA under contract from the U.S. Department of Interior National Biological Survey and National Park Service.
    Type_of_Source_Media: electronic document
    Source_Contribution:
    This document established the procedures and protocols for the accuracy assessment at Scotts Bluff National Monument.

    scbl mapping report (source 5 of 5)
    U.S. Geological Survey, and Department of the Interior, 199810, Scotts Bluff National Monument Photo Interpretation and Map Generation Procedures: USGS-NPS Vegetation Mapping Program Scotts Bluff National Monument, USGS, Core Science Systems, Core Science Analytics and Synthesis, Denver, CO.

    Online Links:

    Other_Citation_Details:
    Created in large part by Aerial Information Systems, Inc. under contract rom USGS/CSS/CSAS.
    Type_of_Source_Media: digital
    Source_Contribution:
    Photo interpretation was done by trained interpreters familiar with the vegetation communities of the Monument on overlays registered to the aerial photographs under a stereoscope. Vegetation communities were idendified n the basis of their color, pattern, texture, and location on the landscape and lines were drawn around the communities. The photo interpreters had visited the monument and conferred with the ecologists who performed the vegetation classification and were familiar with the vegetation communities. Not all vegetation associations could be identified on the photography due to size constraints and complexity of the vegetation. Map classes were assigned in these cases and a cross-walk was made to the vegetation classification

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

    Date: 1994 (process 1 of 4)
    Accuracy assesment field data collection was performed independently of the mapping effort. 512 field plots were taken which were then compared with the attributes of the spatial data. A contigency table was developed comparing the attributes of 21 vegetation map classes with the field data developed by the accuracy assessement.

    Data sources used in this process:

    • AA Report

    Date: 1995 (process 2 of 4)
    Aerial photography was taken of the Monument to serve as the basis for photo interpretation. Vegetation communities were identified on the aerial photography.

    Data sources used in this process:

    • scbl Aerial Photos

    Date: Unknown (process 3 of 4)
    Ortho imagery was developed to serve as a registration base to transfer the photo interpreted polygons. The ortho imagery is registered to locations on the surface of the earth and image distorttions due to terrain relief have been eliminated. When the polygons registered to the aerial photos have been transferred and registered to the ortho images the polygons are registered to locations on the surface of the earth and terrnain distortions have been eliminated.

    Data sources used in this process:

    • scbl orthophoto

    Date: 1998 (process 4 of 4)
    Classification of the vegetation communities was performed by ecologists based on the field data that were collected. Compiled data are assembled into a single file and transformed mathematically to a common abundance scale. The element classification process is implemented using quantitative approaches of ordination, clustering, and correlation depending on the information available. Multivariate analysis programs are used to examine the floristic patterns and their relationships to measured environmental variables. Despite their utility in synthesizing large data sets, many of the analytical programs identify vegetation patterns that are statistically but not ecologically meaningful. The quantitative analysis to determine vegetation patterns must be carried out under the guidance and review of experts who have a practical understanding of the ecological relationships in the field.

    Data sources used in this process:

    • scbl field data

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

    USGS/CSS, Core Science Analytics and Synthesis, 19980223, Vegetation Sampling and Classification of Scotts Bluff National Monument.


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

  1. How well have the observations been checked?

    The mapped data were originally produced by Aerial Information Systems, under sub-contract to the Environmental Systems Research Institute. The data were revised by the contractor after the initial accuracy assessment was performed by re-interpreting some existing classes and adding two additional classes. A second revision was made by CSAS personnel, changing interpretations of some classes with no further revisions in line work. The raw accuracy assessment data can be downloaded at <http://biology.usgs.gov/npsveg/ftp/vegmapping/scbl/aa_data.txt>. The contingency table derived from these data can be viewed at <http://biology.usgs.gov/npsveg/ftp/vegmapping/scbl/aa_matrix.xls>

  2. How accurate are the geographic locations?

    The vegetation spatial data were visually fitted in small (2 inch square segments) to a custom-made orthophoto. The custom made orthophoto was ground tested for horizontal accuracy in three locations in and immediately adjacent to the park with Y-code (5 m accuracy) GPS with all test points falling within +/- 4-6 meters of the corresponding image location. The vegetation spatial data were test fitted to the orthophoto using a 2nd order polygon transformation using GRASS (Geographical Resources Analysis Support System) rectification software resulting in overall resiudals of +/- 5 meters.

  3. How accurate are the heights or depths?

    Not applicable

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

    All data in the project area were photointerpreted and digitized. This includes alliances/community association classes, density classes, height classes, pattern groups, water, and unvegetated/landuse.

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

    All polygon features are checked for topology using the ARC/INFO software. Each polygon begins and ends at the same point with the node feature. All nodes are checked for error so that there are no dangling features. There are no duplicate lines or polygons. All nodes will snap together and close polygons based on a specified tolerance. If the node is not within the tolerance it is adjusted manually. The tests for logical consistency are performed in ARC/INFO. All attribute codes and attributes have been checked for typographical and logical errors.


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:
Any person using the information presented here should fully understand the data collection and compilation procedures, as described in these metadata, before beginning analyses. The burden for determining fitness for use lies entirely with the user. For purposes of publication or dissemination, citations or credit should be given to the U.S. Geological Survey and the National Park Service.

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

    USGS/CSS/Core Science Analytics and Synthesis
    c/o USGS-NPS Vegetation Mapping Program Coordinator
    Denver Federal Center, Building 810, Room 8000, MS 302
    Denver, Colorado 80225

    (303) 202-4220 (voice)
    303-202-4219 (FAX)
    gs-b-npsveg@usgs.gov

  2. What's the catalog number I need to order this data set?

  3. What legal disclaimers am I supposed to read?

    The U.S. Geological Survey and the National Park Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics (if available) are not legal documents and are not intended to be used as such.

    The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. Any related graphics (if available) are intended to aid the data user in acquiring relevant data; it is not approriate to use the related graphics as data.

    The U.S. Geological Survey and the National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an U.S. Geological Survey and National Park Service servers and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. Mention of trade names or commercial products in this metadata report does not constitute endorsement or recommendation for use by the U. S. Department of the Interior, U. S. Geological Survey and National Park Service.

  4. How can I download or order the data?


Who wrote the metadata?

Dates:
Last modified: 22-Oct-2001
Last Reviewed: 15-Jun-2010
Metadata author:
USGS/CSS/Core Science Analytics and Synthesis
c/o USGS-NPS Vegetation Mapping Program Coordinator
Denver Federal Center, Building 810, Room 8000, MS 302
Denver, Colorado 80225

(303) 202-4220 (voice)
303-202-4219 (FAX)
gs-b-npsveg@usgs.gov

Metadata standard:
FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata (FGDC-STD-001.1-1999)
Metadata extensions used:


Generated by mp version 2.9.12 on Tue Jun 15 11:19:10 2010

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