11 datasets found
  1. a

    os12d0100

    • coastal-normals-ncsu.hub.arcgis.com
    Updated May 7, 2020
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    North Carolina State University (2020). os12d0100 [Dataset]. https://coastal-normals-ncsu.hub.arcgis.com/items/d8038b71f7e148bcac72f422aaaddcb7
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    Dataset updated
    May 7, 2020
    Dataset authored and provided by
    North Carolina State University
    Area covered
    Description

    Coastal Normals Information for the Northeast and Mid Atlantic

  2. n

    Nashville Landsat Land Use/Land Cover Classification from the 1995 Southern...

    • cmr.earthdata.nasa.gov
    • access.earthdata.nasa.gov
    Updated Apr 20, 2017
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    (2017). Nashville Landsat Land Use/Land Cover Classification from the 1995 Southern Oxidants Study (SOS) Nashville/Middle Tennessee Ozone Study Data Base [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214591988-SCIOPS.html
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    Dataset updated
    Apr 20, 2017
    Time period covered
    May 1, 1994
    Area covered
    Description

    E3 - Nashville Landsat Land Use/Land Cover Classification

     The Southern Oxidants Study (SOS) conducted a major field research
     campaign in Nashville/Middle Tennessee area in June and July 1994 and
     1995. The goal of this study was to improve scientific understanding
     of the processes that control the production and distribution of ozone
     in the troposphere.
    
     Landsat Thematic mapper (TM) data (acquired in May 1994) and aerial
     photographs were used to develop a classified image representing 13
     land use/land cover categories for most of the Nashville/Middle
     Tennessee study area. The 13 categories are: conifer,
     hardwood, mixed-hardwood, low-density vegetation, agriculture, bare
     soil, disturbed land, grass, clear cut, high-density developed,
     medium-density developed, low-density developed, and water. The
     classified image was gridded to a 1 square kilometer scale using
     ARC/Info GIS. Total hectares and fractions of each land use/land
     cover category were calculated for each grid cell and county-level
     information (land use/land cover hectares and fractions) was summarized.
    
     The Tennessee Valley Authority (TVA) was the coordinator for the 1995
     Southern Oxidants Study Nashville/Middle Tennessee Ozone Study. See:
     "http://www.tva.gov/home.htm"
    
     For more information on the Southern Oxidants Study see:
    
     "http://www2.ncsu.edu/ncsu/CIL/southern_oxidants/index.html"
    
  3. a

    prcp07

    • coastal-normals-ncsu.hub.arcgis.com
    Updated Apr 10, 2020
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    North Carolina State University (2020). prcp07 [Dataset]. https://coastal-normals-ncsu.hub.arcgis.com/datasets/prcp07
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    Dataset updated
    Apr 10, 2020
    Dataset authored and provided by
    North Carolina State University
    Area covered
    Description

    July Total Precipitation

  4. a

    At-Risk Web App

    • hickory-fire-department-ncsu.hub.arcgis.com
    Updated Nov 27, 2022
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    North Carolina State University (2022). At-Risk Web App [Dataset]. https://hickory-fire-department-ncsu.hub.arcgis.com/items/cca54834eeff4a848f902cbd15f23987
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    Dataset updated
    Nov 27, 2022
    Dataset authored and provided by
    North Carolina State University
    Description

    This web application was created for the Hickory, NC Fire Department. The purpose of this web application is to allow the department to easily determine the buildings that are at risk of a specified incident due to their close proximity to buildings that had that given incident. The map enables the user to run a geoprocessing tool that highlights the at-at risk buildings. The tool enables the user to select the incident type as well as the location to examine.

  5. a

    Hickory Profile

    • hickory-fire-department-ncsu.hub.arcgis.com
    Updated Nov 19, 2022
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    North Carolina State University (2022). Hickory Profile [Dataset]. https://hickory-fire-department-ncsu.hub.arcgis.com/items/099a66c159a34d178fd6e08d1a7a06cd
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    Dataset updated
    Nov 19, 2022
    Dataset authored and provided by
    North Carolina State University
    Description

    General Population

  6. a

    NC SAV Mosaic 1981 to 2021

    • data-ncdenr.opendata.arcgis.com
    • fisheries-ncdenr.opendata.arcgis.com
    • +1more
    Updated Sep 2, 2020
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    NC Dept. of Environmental Quality (2020). NC SAV Mosaic 1981 to 2021 [Dataset]. https://data-ncdenr.opendata.arcgis.com/datasets/ncdenr::nc-sav-mosaic-1981-to-2021/about
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    Dataset updated
    Sep 2, 2020
    Authors
    NC Dept. of Environmental Quality
    Area covered
    Description

    Summary:Submerged aquatic vegetation (SAV) mapping data were compiled to provide a maximum historical extent of past and present visible SAV habitat within the coastal zone of the Albemarle-Pamlico National Estuary Partnership (APNEP) and southern NC region. Mapping events from multiple years have been included, with varying extents, data collection protocols, and methodology, to encompass all regions of coastal NC. Purpose:These data were created by governmental agencies and researchers to assist in making resource management decisions using a Geographic Information System (GIS). They are intended for planning projects or research that will contribute to better protection and restoration for SAV habitat.

    Data Sources:

    Data Source

    Methodology

    Mapping years included and extent

    Carraway and Priddy (1983)

    Maps of SAV were created from aerial natural color photography accompanied by ground truth data for verification including location and density. Link to report

    1981 (May): Bogue, Back and Core sounds

    Ferguson and Wood (1994)

    SAV was delineated and mapped from natural color aerial photography with a minimum mapping unit of 20m. Accompanying field inventories were conducted within study regions to verify SAV signatures and species distribution and composition. Link to report

    1983 (Spring): Outer Banks from Ocracoke Inlet to Oregon Inlet 1985 (Spring): Core Sound 1988 (Spring): Core Sound, and behind Cape Hatteras from Hatteras to Avon 1990 (Fall): Currituck, Albemarle, Roanoke, and Croatan sounds, and Oregon Inlet to south of Pea Island 1991 (Fall): Pamlico River Estuary, Neuse River Estuary, western Pamlico Sound and Albemarle 1992 (Fall): Pamlico River, parts of eastern and western Pamlico Sound, and Albemarle Sound (Perquimans River)

    Division Water Quality (DWQ) 1998

    Maps from aerial photography

    1998: Neuse River and tributaries

    Elizabeth City State University (ECSU)

    Maps from color aerial photography, accompanied by field survey point data to aid in photo interpretation were produced by the ECSU Remote Sensing Program. SAV polygons were generated using “heads up” digitizing on the computer monitor.

    2002 (October): Northern shoreline of Albemarle Sound and tributaries from Big Flatty Creek to Edenton Bay 2003 (October): Back Bay, Currituck Sound, and Kitty Hawk Bay 2006: Western Albemarle Sound

    North Carolina State University (NCSU) 2005

    Aerial photography from July 2005 accompanied by ground truth data.

    2005 (July): Southern shore of Albemarle Sound including Bull Bay to northern Croatan Sound

    Division Water Quality (DWQ) Rapid Response Team

    Maps from interpolated transect data SAV was observed and collected using a garden rake from boat, traveling along the shoreline.

    2005 and 2006 (June-September): field surveys were conducted for the major tributaries of Neuse and Pamlico rivers 2007 (May-August): field surveys were conducted in the Neuse and Pamlico rivers and tributaries

    Marine Corps Air Station Cherry Point 2007

    Field survey’s consisting of visual observations and underwater cameras in ≤ 6ft depth of water. Aerial survey using hyperspectral imagery, collected on May 14, 2007, was analyzed in ENVI software using the Spectral Angle Mapper Classification method to identify SAV.

    May 14, 2007: imagery data of Piney Island was collected 2007 (June-July): field surveys for Piney Island and Brant Island Shoal

    Albemarle-Pamlico National Estuary Partnership (APNEP) SAV Partners – SAV 2006-2008 Mapping

    SAV was mapped along the coast of NC and northward into Back Bay, VA by manually digitizing visible SAV from remotely-sensed imagery. Digitizing scale was typically set at 1:1,500 with a minimum mapping unit set at 15 m. Link to source metadata

    This extent encompasses the coastal zone that lies within the APNEP regional boundary (Bogue Inlet north to Back Bay), as well as that which is outside of that boundary (Bogue Inlet south to Masonboro Inlet). 2006 (May-June): Bogue, Back, and Core sounds 2007 (September): Pamlico and Pungo rivers 2007 (October): coast wide except Bogue, Back and Core sounds 2008 (May-June): Bogue, Back and Core sounds

    Albemarle-Pamlico National Estuary Partnership (APNEP) SAV Partners – SAV 2012-2014 Mapping

    SAV was mapped along the coast of NC by manually digitizing visible SAV from remotely-sensed imagery. Digitizing scale was typically set between 1:2,000 and 1:3,000 with a minimum mapping unit set at 15 m. Link to source metadata

    This extent encompasses the high-salinity coastal zone that lies within the APNEP regional boundary (Hwy. 64 Bridge of Roanoke Sound south to Bogue Inlet). 2013 (May): Bogue, Back and North Pamlico sounds

    Division of Marine Fisheries (DMF) – SAV 2015 Mapping

    SAV was mapped along the Southern coast of NC by manually digitizing visible SAV from remotely-sensed imagery. Digitizing scale was typically between 1:1,500 and 1:2,000 with a minimum mapping unit set at 15 m. Link to source metadata

    This extent encompasses the high-salinity coastal zone of Onslow Bay that lies south of Bogue Sound and terminating near Mason’s Inlet (Onslow, Pender, and New Hanover counties). 2015 (May): Bear Inlet south to Mason’s Inlet

    Albemarle-Pamlico National Estuary Partnership (APNEP) SAV Partners – SAV 2019-2020 Mapping

    SAV was mapped along the coast of NC by manually digitizing visible SAV from remotely-sensed imagery. Digitizing scale was typically set between 1:1,500 and 1:3,000 with a minimum mapping unit set at 15 m. Link to source metadata

    This extent encompasses the high-salinity coastal zone that lies within the APNEP regional boundary (Hwy. 64 Bridge of Roanoke Sound south to Bogue Inlet), except for mainland Core Sound and multiple areas in Pamlico and Roanoke Sounds (see source metadata for detailed description).

    All SAV was digitized from 2020 (May-June) imagery – 2019 imagery was uninterpretable for SAV.

    Division of Marine Fisheries (DMF) – SAV 2021 Mapping

    SAV was mapped along the Southern coast of NC by manually digitizing visible SAV from remotely-sensed imagery. Digitizing scale was typically between 1:1,500 and 1:2,000 with a minimum mapping unit set at 15 m. Link to source metadata

    This extent encompasses the high-salinity coastal zone of Onslow Bay that lies south of Bogue Sound and terminating near Mason’s Inlet (Onslow, Pender, and New Hanover counties). 2021 (May): Bear Inlet south to Mason’s Inlet

  7. a

    Administrative Boundary 20150202 (Open Data)

    • hub.arcgis.com
    • data-dchcmpo.opendata.arcgis.com
    Updated Feb 2, 2015
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    Durham-Chapel Hill-Carrboro MPO (2015). Administrative Boundary 20150202 (Open Data) [Dataset]. https://hub.arcgis.com/maps/dfb2c9d72695466d934378a37dcdc0e1
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    Dataset updated
    Feb 2, 2015
    Dataset authored and provided by
    Durham-Chapel Hill-Carrboro MPO
    Area covered
    Description

    DCHC MPO boundary revised boundary that was approved and adopted on November 2012. Triangle Regional Model (TRM), for transportation modeling purposes. Version 5, 2010 base year. Data dictionary available at https://sites.google.com/a/ncsu.edu/dchc-mpo/home The NC State County Boundary GIS data set is to provide location information for the North Carolina State and County Boundary lines with best available information to facilityat planing siting, impact analysis in the 100 counties of NC. Sources for information are NC Division of Transportation, United States Geological Survey and actual field surveys conducted by North Carolina and South Carolina Licensed Surveyors that have been approved and recoded in their respective counties. This file shows some of the boundaries of counties which have a completed boundary survey but the majority of lines have not been surveyed. Also some boundaries cannot be surveyed in cases where boundaries are coincident with river centers. Most of the lines currently are from the DOT county maps which originally come from USGS but might have been updated by the county parcel maps.

  8. a

    DCHC BikeCountsIntersection 2014

    • hub.arcgis.com
    Updated Feb 2, 2015
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    Durham-Chapel Hill-Carrboro MPO (2015). DCHC BikeCountsIntersection 2014 [Dataset]. https://hub.arcgis.com/datasets/dfb2c9d72695466d934378a37dcdc0e1
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    Dataset updated
    Feb 2, 2015
    Dataset authored and provided by
    Durham-Chapel Hill-Carrboro MPO
    Area covered
    Description

    DCHC MPO boundary revised boundary that was approved and adopted on November 2012. Triangle Regional Model (TRM), for transportation modeling purposes. Version 5, 2010 base year. Data dictionary available at https://sites.google.com/a/ncsu.edu/dchc-mpo/home The NC State County Boundary GIS data set is to provide location information for the North Carolina State and County Boundary lines with best available information to facilityat planing siting, impact analysis in the 100 counties of NC. Sources for information are NC Division of Transportation, United States Geological Survey and actual field surveys conducted by North Carolina and South Carolina Licensed Surveyors that have been approved and recoded in their respective counties. This file shows some of the boundaries of counties which have a completed boundary survey but the majority of lines have not been surveyed. Also some boundaries cannot be surveyed in cases where boundaries are coincident with river centers. Most of the lines currently are from the DOT county maps which originally come from USGS but might have been updated by the county parcel maps.

  9. a

    TRM v5 Highway Result 2040 EC (Existing and Committed)

    • data-dchcmpo.opendata.arcgis.com
    Updated Sep 3, 2015
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    Durham-Chapel Hill-Carrboro MPO (2015). TRM v5 Highway Result 2040 EC (Existing and Committed) [Dataset]. https://data-dchcmpo.opendata.arcgis.com/maps/dchcmpo::trm-v5-highway-result-2040-ec-existing-and-committed
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    Dataset updated
    Sep 3, 2015
    Dataset authored and provided by
    Durham-Chapel Hill-Carrboro MPO
    Area covered
    Description
  10. a

    Global Amphibian Species Richness

    • hub.arcgis.com
    Updated May 8, 2018
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    ArcGIS Living Atlas Team (2018). Global Amphibian Species Richness [Dataset]. https://hub.arcgis.com/maps/arcgis-content::global-amphibian-species-richness
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    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    Maps have been developed by Clinton Jenkins of the Instituto de Pesquisas Ecológicas (IPÊ). Advice and suggestions came from many colleagues, including Joe Sexton (GLCF), Rob Dunn (NCSU), Stuart Pimm (Duke University), Kyle Van Houtan (NOAA), Lucas Joppa (Microsoft Research), Félix Pharand-Deschenes (Globaïa), and Nick Haddad (NCSU). Producing the biodiversity maps would not have been possible without the enormous efforts contributed to the IUCN, NatureServe, BirdLife International, and the USGS in their ongoing efforts to map the individual distributions of the world’s species. for more info Visit BiodiversityMapping.orgThe brighter purple color on the map represent the areas of highest mammal biodiversity.

  11. a

    Global Mammal Species Richness

    • globil-panda.opendata.arcgis.com
    Updated May 8, 2018
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    ArcGIS Living Atlas Team (2018). Global Mammal Species Richness [Dataset]. https://globil-panda.opendata.arcgis.com/maps/arcgis-content::global-mammal-species-richness
    Explore at:
    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    Maps have been developed by Clinton Jenkins of the Instituto de Pesquisas Ecológicas (IPÊ). Advice and suggestions came from many colleagues, including Joe Sexton (GLCF), Rob Dunn (NCSU), Stuart Pimm (Duke University), Kyle Van Houtan (NOAA), Lucas Joppa (Microsoft Research), Félix Pharand-Deschenes (Globaïa), and Nick Haddad (NCSU). Producing the biodiversity maps would not have been possible without the enormous efforts contributed to the IUCN, NatureServe, BirdLife International, and the USGS in their ongoing efforts to map the individual distributions of the world’s species. for more info Visit BiodiversityMapping.orgThe brighter magenta color on the map represent the areas of highest mammal biodiversity.

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North Carolina State University (2020). os12d0100 [Dataset]. https://coastal-normals-ncsu.hub.arcgis.com/items/d8038b71f7e148bcac72f422aaaddcb7

os12d0100

Explore at:
Dataset updated
May 7, 2020
Dataset authored and provided by
North Carolina State University
Area covered
Description

Coastal Normals Information for the Northeast and Mid Atlantic

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