C-CAP Land Cover, United States Virgin Islands, St Thomas, 2007

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Frequently anticipated questions:


What does this data set describe?

Title: C-CAP Land Cover, United States Virgin Islands, St Thomas, 2007
Abstract:
This data set consists of land cover derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 32 three-band ADS40 scenes. These full scenes were not sufficient to replace cloud obscured areas within the base imagery. Additional imagery was used for classifying obsucred areas. All scenes were processed to detect C-CAP land cover features on St Thomas, U.S. Virgin Islands.
  1. How should this data set be cited?

    Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC), 20100524, C-CAP Land Cover, United States Virgin Islands, St Thomas, 2007: NOAA's Ocean Service, Coastal Services Center (CSC), Charleston, SC.

    Online Links:

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -65.099780
    East_Bounding_Coordinate: -64.790115
    North_Bounding_Coordinate: 18.476359
    South_Bounding_Coordinate: 18.273179

  3. What does it look like?

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

    Calendar_Date: 11-Mar-2007
    Currentness_Reference: Acquisition date of the Quickbird Scene

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

    Geospatial_Data_Presentation_Form: remote-sensing image

  6. How does the data set represent geographic features?

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

      This is a Raster data set. It contains the following raster data types:

      • Dimensions 9518 x 13537 x 1, type Pixel

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

      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 20
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.999600
      Longitude_of_Central_Meridian: -63.000000
      Latitude_of_Projection_Origin: 0.000000
      False_Easting: 500000.000000
      False_Northing: 0.000000

      Planar coordinates are encoded using Row and Column
      Abscissae (x-coordinates) are specified to the nearest 2.400000
      Ordinates (y-coordinates) are specified to the nearest 2.400000
      Planar coordinates are specified in meters

      The horizontal datum used is D_WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257224.

  7. How does the data set describe geographic features?

    Layer_1
    St Thomas, United States Virgin Islands delineated by ADS40 scenes collected March 11, 2007. (Source: unknown)

    Value
    Landcover Classification as determined by NOAA Coastal Change Analysis Program (C-CAP) (Source: NOAA Coastal Services Center High-Resolution Land Cover Project)

    ValueDefinition
    1 UnclassifiedThis class contains nodata due to cloud conditions or data voids.
    2 Impervious SurfacesAnthropogenic features such as buildings, parking lots and roads developed from asphalt, concrete or other constructed surfaces which do not allow infiltration from precipitation.
    5 Open Spaces DevelopedIncludes areas with a mixture of some constructed materials, but mostlyvegetation in the form of lawn grasses. Impervious surfaces account forless than 20 percent of total cover. These areas most commonly includelarge-lot single-family housing units, parks, golf courses, and vegetationplanted in developed settings for recreation, erosion control, oraesthetic purposes.
    6 Cultivated LandIncludes herbaceous (cropland) and woody (e.g., orchards,nurseries, and vineyards) cultivated lands.
    7 Pasture/Haycharacterized by grasses, legumes or grass-legumes mixturesplanted for livestock grazing or the production of sees orhay crops.
    8 GrasslandDominated by naturally occurring grasses and non-grasses(forbs) that are not fertilized, cut, tilled, or plantedregularly.
    9 Deciduous ForestIncludes areas dominated by single stemmed, woodyvegetation un-branched 0.6 to 1 meter (2 to 3 feet) abovethe ground and having a height greater than 5 meters (20feet).
    10 Evergreen ForestIncludes areas in which more than 67 percent of the treesremain green throughout the year. Both coniferous andbroad-leaved evergreens (greater than 5 meters) areincluded in this category.
    11 Mixed ForestContains all forested areas in which both evergreen anddeciduous trees (greater than 5 meters) are growing andneither predominate.
    12 Scrub/ShrubAreas dominated by woody vegetation less than 5 meters inheight. This class includes true shrubs, young trees, andtrees or shrubs that are small or stunted because ofenvironmental conditions.
    13 Palustrine Forested WetlandIncludes all non-tidal wetlands dominated by woodyvegetation greater than or equal to 5 meters in height,and all such wetlands that occur in tidal areas in whichsalinity due to ocean-derived salts is below 0.5 parts perthousand (ppt).
    14 Palustrine Scrub/Shrub WetlandIncludes all non-tidal wetlands dominated by woodyvegetation less than or equal to 5 meters in height, andall such wetlands that occur in tidal areas in whichsalinity due to ocean-derived salts is below 0.5 ppt.
    15 Palustrine Emergent WetlandIncludes all non-tidal wetlands dominated by trees, shrubs,persistent emergents, emergent mosses, or lichens, and allsuch wetlands that occur in tidal areas in which salinitydue to ocean- derived salts is below 0.5 ppt.
    16 Estuarine Forest WetlandIncludes all tidal wetlands dominated by woody vegetationgreater than or equal to 5 meters in height, and all suchwetlands that occur in tidal areas in which salinity dueto ocean-derived salts is above 0.5 parts per thousand(ppt).
    17 Estuarine Scrub/Shrub WetlandIncludes all tidal wetlands dominated by woody vegetationless than 5 meters in height, and all suchwetlands that occur in tidal areas in which salinity dueto ocean-derived salts is above 0.5 ppt.
    18 Estuarine EmergentCharacterized by erect, rooted, herbaceous hydrophytes(excluding mosses and lichens) that are present for mostof the growing season in most years. Perennial plantsusually dominate these wetlands. All water regimes areincluded except those that are sub-tidal and irregularlyexposed.
    19 Unconsolidated ShoreCharacterized by substrates lacking vegetation except forpioneering plants that become established during briefperiods when growing conditions are favorable. Erosion anddeposition by waves and currents produce a number oflandforms, such as beaches, bars, and flats, all of whichare included in this class.
    20 Bare LandComposed of bare soil, rock, sand, silt, gravel, or otherearthen material with little or no vegetation.
    21 WaterIncludes all areas of open water with less than 30 percentcover of trees, shrubs, persistent emergent plants,emergent mosses, or lichens.
    22 Palustrine Aquatic BedIncludes wetlands and deepwater habitats dominated byplants that grow principally on or below the surface ofthe water for most of the growing season in most years.
    23 Estuarine Aquatic BedIncludes widespread and diverse Algal Beds in the Marineand Estuarine Systems, where they occupy substratescharacterized by a wide range of sediment depths andtextures. They occur in both the sub-tidal and inter-tidalSubsystems and may grow to depths of 30 m (98 feet).This class includes kelp forests.
    24 TundraIncludes treeless cover beyond the latitudinal limit ofthe boreal forest in pole-ward regions and above theelevation range of the boreal forest in high mountains.
    25 Snow/IceIncludes persistent snow and ice that persist for greaterportions of the year.


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?

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


Why was the data set created?

To create a baseline inventory of land cover features which can be utilized by state and local resource managers.


How was the data set created?

  1. From what previous works were the data drawn?

    NOAA CSC (source 1 of 1)
    www.sanborn.com., Sanborn., 20100524, C-CAP Land Cover, St Thomas, United States Virgin Islands, 2007: NOAA's Ocean Service, Coastal Services Center (CSC), Charleston, SC.

    Online Links:

    Type_of_Source_Media: DVD/CD-ROM
    Source_Contribution: NOAA CSC

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

    Date: 24-May-2010 (process 1 of 2)
    This dataset was created by Sanborn (www.sanborn.com).This version of the classification is the High Resolution Land Cover (2007-era) for the Island of St Thomas, United States Virgin Islands.This section outlines the classification procedure for St Thomas, United States Virgin Islands High Resolution C-CAP. ADS40 imagery and the 2003-era C-CAP classification were used in producing this land cover product. The mapping approach utilized a boundary summary and refinement procedure developed by Sanborn to leverage the 2003-era classification. A calibration visit was conducted and training data was collected for classification. Non impervious features were mapped using a 0.5 acre minimum mapping unit (MMU).Pre-processing steps:The ADS40 was provided to Sanborn as a geo-referenced product. Sanborn perfomed a quality control on the imagery to check for pixel dropouts and other image issues. Individual image tiles werecombined to create a single mosaic for the entire island. In conjunction with the ADS40 mosaic, Sanborn used Quickbird collected from 2002-2005 and LiDAR collected in 2007 for the island.Field-Collected Data:Training data was collected in the field between May 31th and June 5th, 2009. Land cover observations were recorded by analysts. The referenced dataset went through a QA/QC procedure to ensure it met accuracy standards.Classification:Segmentation - Image segmentation was completed at multiple scales using the multispectral (2.4 m) imagery in order to group like spectral and textural objects within the imagery. For consistency, the associated impervious data set was incorporated into the segmentation layer as a boundary delimiter. Segments can share boundaries of an impervious surface,but can never overlap an impervious surface.Automated Classification - Logical rulesets and thresholding based on the spectral properties of the imagery, and ancillary data, and the early date classification were used to generate a mask of potential change. The changemask was incorporated into the early date classification to create the 2007 classification.Automated Classification Refinement - Models are built to refine or reclassify land cover areas by utilizing the wealth of attribute information linked to each segment within Definiens.Classification Edits - As with any automated or semi-automated land cover classification there are often inconsistencies in the land cover map. The final step before map finalization was to remove inaccuracies through manual segment labeling as interpreted by an analyst.Map Finalization - Sanborn used independent reviewer's comments to further refine the land cover map.Attributes for this product are as follows:0 Background1 Unclassified2 Impervious345 Developed, Open Space6 Cultivated Crops7 Pasture/Hay8 Grassland/Herbaceous9 Deciduous Forest10 Evergreen Forest11 Mixed Forest12 Scrub/Shrub13 Palustrine Forested Wetland14 Palustrine Scrub/Shrub Wetland15 Palustrine Emergent Wetland16 Estuarine Forested Wetland17 Estuarine Scrub/Shrub Wetland18 Estuarine Emergent Wetland19 Unconsolidated Shore20 Bare Land21 Open Water22 Palustrine Aquatic Bed23 Estuarine Aquatic Bed24 Tundra25 Snow/Ice

    Person who carried out this activity:

    CRS (Coastal Remote Sensing) Program Manager
    NOAA Coastal Services Center Coastal Change Analysis Program (C-CAP)
    CRS Program Manager
    2234 S. Hobson Ave.
    Charleston, SC 29405
    USA

    843-740-1210 (voice)
    843-740-1224 (FAX)
    clearinghouse@noaa.gov

    Hours_of_Service: 8:00 am to 5:00 p.m. EST. M-F
    Date: 24-May-2010 (process 2 of 2)
    Metadata imported

    Person who carried out this activity:

    NOAA Coastal Services Center Coastal Change Analysis Program (C-CAP)
    CRS Program Manager
    2234 S. Hobson Ave.
    Charleston, SC 29405

    843-740-1210 (voice)
    843-740-1224 (FAX)
    csc@noaa.gov

    Hours_of_Service: Monday to Friday, 8 a.m. to 5 p.m., Eastern Standard Time
  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?

    No report is currently available.

  2. How accurate are the geographic locations?

    12 meters CE90

  3. How accurate are the heights or depths?

    There was no terrain correction in the geo-referencing procedure.

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

    Data does not exist for all classes.There are no pixels representing classes 11 (Mixed Forest), 22 (Palustrine Aquatic Bed), 23 (Estuarine Aquatic Bed), 24 (Tundra), 25 (Perennial Ice/Snow), 26 (Dwarf Scrub - Alaska specific class), 27 (Sedge/Herbaceous), and 28 (Moss - Alaska specific). Developed classes have been altered to exclude the percentage breakdown of impervious surfaces as the breakdown is not appropriate for high resolution mapping (Developed High Intensity (2), Developed Medium Intensity (3), and Developed Low Intensity (4) are reduced to Impervious (Class 2).

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

    Tests for logical consistency indicate that all row and column positions in the selected latitude/longitude window contain data. Conversion and integration with vector files indicates that all positions are consistent with earth coordinates covering the same area. Attribute files are logically consistent.


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:
Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, NOAA, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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

    NOAA Coastal Services Center
    Attn: Clearinghouse Manager
    Clearinghouse Manager
    2234 South Hobson Avenue
    Charleston, SC 29405-2413
    USA

    (843)740-1210 (voice)
    (843)740-1224 (FAX)
    clearinghouse@noaa.gov

    Hours_of_Service: Monday-Friday, 8-5 EST
  2. What's the catalog number I need to order this data set?

    Downloadable Data

  3. What legal disclaimers am I supposed to read?

    Users must assume responsibility to determine the usability of these data.

  4. How can I download or order the data?


Who wrote the metadata?

Dates:
Last modified: 11-Jun-2013
Metadata author:
NOAA Coastal Services Center
Attn: Metadata Specialist
Metadata Specialist
2234 S Hobson Ave.
Charleston, SC 29405
USA

843-740-1210 (voice)
843-740-1224 (FAX)
csc@noaa.gov

Hours_of_Service: 8:00 am to 5:00 pm EST.
Metadata standard:
FGDC Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)


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