2 datasets found
  1. d

    Mapping Landcover of the Natchez Trace Parkway 2004-2005

    • search.dataone.org
    • datadiscoverystudio.org
    • +1more
    Updated Oct 29, 2016
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    Amina Rangoonwala (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Terri Bannister (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Elijah W. Ramsey III, Ph.D (U.S. Geological Survey, National Wetlands Research Center) (2016). Mapping Landcover of the Natchez Trace Parkway 2004-2005 [Dataset]. https://search.dataone.org/view/94bb63c4-cebf-4d71-96ac-c8f54862dd17
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Amina Rangoonwala (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Terri Bannister (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Elijah W. Ramsey III, Ph.D (U.S. Geological Survey, National Wetlands Research Center)
    Area covered
    Variables measured
    Red, Blue, Green, Value, ObjectID
    Description

    This dataset consists of a map depicting the landcover of the Natchez Trace Parkway. The mapping output was created using mosaiced color infrared aerial photography of the Parkway. The map shows the distribution of 18 landcover classes based on the National Vegetation Classification Standard. Ground-based vegetation classification was provided by the National Park Service (NPS). The mapping output delineates grasses, road-developed areas, scrub-shrub, shrubland, plantation, water bodies, areas of white oak, oak, pine-oak, pine-cedar, pine-sweetgum, sweetgum (including sweetgum-oak), scattered trees, swamp forest, irregular classes, aquatic vegetation, invasive species, canopy gaps, and clouds.

    Total mapped area includes a 100 m buffer outside the park boundary. 235 digital orthophoto quarter quadrangles (DOQQs) were required to cover the entire 715 km long Parkway. For ease of use, the DOQQs were grouped into 11 mosaics, each covering a section of the Parkway. At the request of the NPS, each mosaic was divided into ten tiles to allow for efficient loading on less robust computers.

  2. d

    Legend Layer for Mapping Landcover of the Natchez Trace Parkway 2004-2005

    • dataone.org
    Updated Dec 1, 2016
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    Amina Rangoonwala (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Terri Bannister (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Elijah W. Ramsey III, Ph.D (U.S. Geological Survey, National Wetlands Research Center) (2016). Legend Layer for Mapping Landcover of the Natchez Trace Parkway 2004-2005 [Dataset]. https://dataone.org/datasets/d39260a1-0449-46e3-b6d6-b8dc91c19248
    Explore at:
    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Amina Rangoonwala (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Terri Bannister (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Elijah W. Ramsey III, Ph.D (U.S. Geological Survey, National Wetlands Research Center)
    Area covered
    Description

    This dataset defines the symbology for the landcover map of the Natchez Trace Parkway. The map shows the distribution of 18 landcover classes based on the National Vegetation Classification Standard. Ground-based vegetation classification was provided by National Park Service (NPS). The mapping output and layer delineate grasses, road-developed areas, scrub-shrub, shrubland, plantation, water bodies, areas of white oak, oak, pine-oak, pine-cedar, pine-sweetgum, sweetgum (including sweetgum-oak), scattered trees, swamp forest, irregular classes, aquatic vegetation, invasive species, canopy gaps, and clouds. Mapped classes that have been digitized are noted with an asterisk (*) in the legend.

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Share
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Email
Click to copy link
Link copied
Close
Cite
Amina Rangoonwala (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Terri Bannister (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Elijah W. Ramsey III, Ph.D (U.S. Geological Survey, National Wetlands Research Center) (2016). Mapping Landcover of the Natchez Trace Parkway 2004-2005 [Dataset]. https://search.dataone.org/view/94bb63c4-cebf-4d71-96ac-c8f54862dd17

Mapping Landcover of the Natchez Trace Parkway 2004-2005

Explore at:
Dataset updated
Oct 29, 2016
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
Amina Rangoonwala (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Terri Bannister (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Elijah W. Ramsey III, Ph.D (U.S. Geological Survey, National Wetlands Research Center)
Area covered
Variables measured
Red, Blue, Green, Value, ObjectID
Description

This dataset consists of a map depicting the landcover of the Natchez Trace Parkway. The mapping output was created using mosaiced color infrared aerial photography of the Parkway. The map shows the distribution of 18 landcover classes based on the National Vegetation Classification Standard. Ground-based vegetation classification was provided by the National Park Service (NPS). The mapping output delineates grasses, road-developed areas, scrub-shrub, shrubland, plantation, water bodies, areas of white oak, oak, pine-oak, pine-cedar, pine-sweetgum, sweetgum (including sweetgum-oak), scattered trees, swamp forest, irregular classes, aquatic vegetation, invasive species, canopy gaps, and clouds.

Total mapped area includes a 100 m buffer outside the park boundary. 235 digital orthophoto quarter quadrangles (DOQQs) were required to cover the entire 715 km long Parkway. For ease of use, the DOQQs were grouped into 11 mosaics, each covering a section of the Parkway. At the request of the NPS, each mosaic was divided into ten tiles to allow for efficient loading on less robust computers.

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