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USGS National Map Corps VGI Structures Acquisition Plan Objectives for FY19 from The National Map - National Geospatial Data Asset (NGDA) USGS National Structures Dataset
U.S. Geological Survey, Department of the Interior - The annual National Map Corps Volunteered Geographic Information (VGI) structures acquisition plan is to add new structures data and remove or edit obsolete structures data points over the United States. The FY19 acquisition plan allows data contributions by volunteers for all 50 states. Interested parties who wish to become a volunteer data acquisition partner with the USGS in FY19 or in future years should contact a USGS Geospatial Liaison - http://liaisons.usgs.gov/geospatial/documents/TNM_Partnership_User_ContactList.pdf. To find out more about the National Map Corps VGI structures program go to https://my.usgs.gov/confluence/display/nationalmapcorps/Home.
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USGS National Structures Dataset - USGS National Map Downloadable Data Collection
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USGS Structures from The National Map (TNM) consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities across all US states and territories. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently included are: School, School:Elementary, School:Middle, School:High, College/University, Technical/Trade School, Ambulance Service, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, Post Office, Hospital/Medical Center, Cabin, Campground, Cemetery, Historic Site/Point of Interest, Picnic Area, Trailhead, Vistor/Information Center, US Capitol, State Capitol, US Supreme Court, State Supreme Court, Court House, Headquarters, Ranger Station, White House, and City/Town Hall. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. Included is a feature class of preliminary building polygons provided by FEMA, USA Structures. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/ngp-standards-and-specifications/national-map-structures-content.
USGS National Structures Dataset - USGS National Map Downloadable Data Collection
공공데이터포털
USGS Structures from The National Map (TNM) consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities across all US states and territories. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently included are: School, School:Elementary, School:Middle, School:High, College/University, Technical/Trade School, Ambulance Service, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, Post Office, Hospital/Medical Center, Cabin, Campground, Cemetery, Historic Site/Point of Interest, Picnic Area, Trailhead, Vistor/Information Center, US Capitol, State Capitol, US Supreme Court, State Supreme Court, Court House, Headquarters, Ranger Station, White House, and City/Town Hall. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. Included is a feature class of preliminary building polygons provided by FEMA, USA Structures. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/ngp-standards-and-specifications/national-map-structures-content.
USGS Geographic Names Acquisition Plan Objectives for FY19 from The National Map - National Geospatial Data Asset (NGDA) Geographic Names Information System (GNIS)
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U.S. Geological Survey, Department of the Interior - The annual Geographic Names acquisition plan is to collect geographic name data over the United States and its territories through the Board on Geographic Names processes. The U.S. Board on Geographic Names is a Federal body created in 1890 and established in its present form by Public Law in 1947 to maintain uniform geographic name usage throughout the Federal Government. The Board comprises representatives of Federal agencies concerned with geographic information, population, ecology, and management of public lands. Sharing its responsibilities with the Secretary of the Interior, the Board promulgates official geographic feature names with locative attributes as well as principles, policies, and procedures governing the use of domestic names, foreign names, Antarctic names, and undersea feature names. The Geographic Names Information System (GNIS), developed by the U.S. Geological Survey (USGS) in cooperation with the U.S. Board on Geographic Names (BGN), contains information about the official names for places, features, and areas in the 50 States, the District of Columbia, the territories and outlying areas of the United States, including Antarctica.The Board of Geographic Names maintains working relationships with State names authorities to cooperate in achieving the standardization of geographic names. GNIS is the geographic names component of The National Map. Interested parties who wish to become a data acquisition partner with the USGS in FY19 or in future years should contact a USGS Geospatial Liaison - http://liaisons.usgs.gov/geospatial/documents/TNM_Partnership_User_ContactList.pdf.
USGS National Lidar and DEM Acquisition Plan Objectives for FY19 from The National Map 3D Elevation Program (3DEP) - National Geospatial Data Asset (NGDA) 3D Elevation Program Data Set (3DEP)
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U.S. Geological Survey, Department of the Interior - The annual lidar and DEM acquisition plan is part of the 3DEP initiative to systematically collect enhanced elevation data (Quality Level 2) in the form of high-quality light detection and ranging (lidar) data over the conterminous United States, Hawaii, and the territories on an 8-year schedule. The FY19 acquisition plan currently anticipates collecting 225,000 sq. mi. or more depending on partnerships and other contributions to the plan. Interested parties who wish to become a funding partner with the USGS in FY19 or in future years should contact a USGS Geospatial Liaison - http://liaisons.usgs.gov/geospatial/documents/TNM_Partnership_User_ContactList.pdf. Products will include: raw point cloud, classified point cloud, 1M DEM, and other standard derived 3DEP datasets. To find out more about the 3DEP initiative go to http://nationalmap.gov/3DEP.
General Grant National Memorial Tract and Boundary Data
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These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.
General Grant National Memorial Tract and Boundary Data
공공데이터포털
These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.
Guilford Courthouse National Military Park Tract and Boundary Data
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These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.
Guilford Courthouse National Military Park Tract and Boundary Data
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These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.
Field data for the Vegetation Mapping Inventory Project of Guilford Courthouse National Military Park - Open Format Data Package
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These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Guilford Courthouse National Military Park. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
National Mall and Memorial Parks Tract and Boundary Data
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These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways. {Provide addition descriptions of the data set if necessary.}