51 datasets found
  1. USGS Historical Topographic Map Explorer

    • data.amerigeoss.org
    • hub.arcgis.com
    • +1more
    Updated Oct 10, 2019
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    Esri (2019). USGS Historical Topographic Map Explorer [Dataset]. https://data.amerigeoss.org/dataset/usgs-historical-topographic-map-explorer1
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    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Oct 10, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Description

    The ArcGIS Online US Geological Survey (USGS) topographic map collection now contains over 177,000 historical quadrangle maps dating from 1882 to 2006. The USGS Historical Topographic Map Explorer app brings these maps to life through an interface that guides users through the steps for exploring the map collection:

    • Find a location of interest.
    • View the maps.
    • Compare the maps.
    • Download and share the maps or open them in ArcGIS Desktop (ArcGIS Pro or ArcMap) where places will appear in their correct geographic location.
    • Save the maps in an ArcGIS Online web map.

    Finding the maps of interest is simple. Users can see a footprint of the map in the map view before they decide to add it to the display, and thumbnails of the maps are shown in pop-ups on the timeline. The timeline also helps users find maps because they can zoom and pan, and maps at select scales can be turned on or off by using the legend boxes to the left of the timeline. Once maps have been added to the display, users can reorder them by dragging them. Users can also download maps as zipped GeoTIFF images. Users can also share the current state of the app through a hyperlink or social media. This ArcWatch article guides you through each of these steps: https://www.esri.com/esri-news/arcwatch/1014/envisioning-the-past.


    Once signed in, users can create a web map with the current map view and any maps they have selected. The web map will open in ArcGIS Online. The title of the web map will be the same as the top map on the side panel of the app. All historical maps that were selected in the app will appear in the Contents section of the web map with the earliest at the top and the latest at the bottom. Turning the historical maps on and off or setting the transparency on the layers allows users to compare the historical maps over time. Also, the web map can be opened in ArcGIS Desktop (ArcGIS Pro or ArcMap) and used for exploration or data capture.

    Users can find out more about the USGS topograhic map collection and the app by clicking on the information button at the upper right. This opens a pop-up with information about the maps and app. The pop-up includes a useful link to a USGS web page that provides access to documents with keys explaining the symbols on historic and current USGS topographic maps. The pop-up also has a link to send Esri questions or comments about the map collection or the app.

    We have shared the updated app on GitHub, so users can download it and configure it to work with their own map collections.

  2. d

    USGS National Structures Dataset - USGS National Map Downloadable Data...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). USGS National Structures Dataset - USGS National Map Downloadable Data Collection [Dataset]. https://catalog.data.gov/dataset/usgs-national-structures-dataset-usgs-national-map-downloadable-data-collection
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    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.

  3. U

    1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP...

    • data.usgs.gov
    • datadiscoverystudio.org
    • +4more
    Updated Feb 20, 2025
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    U.S. Geological Survey (2025). 1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:77ae0551-c61e-4979-aedd-d797abdcde0e
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    Dataset updated
    Feb 20, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

  4. a

    NJ Color Historical Maps

    • hub.arcgis.com
    • data-newgin.opendata.arcgis.com
    • +1more
    Updated Nov 23, 2015
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    New Jersey Office of GIS (2015). NJ Color Historical Maps [Dataset]. https://hub.arcgis.com/maps/81697227963d42fb9661cd1707955ef0
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    Dataset updated
    Nov 23, 2015
    Dataset authored and provided by
    New Jersey Office of GIS
    Area covered
    Description

    This Open Geospatial Consortium (OGC) compliant Web Map Service (WMS) includes a mosaic of historical USGS topographic maps of New Jersey surveyed from 1881 to 1924. This product is to be used for reference purposes only. The original historical paper maps were distorted or damaged to varying degrees due to age and use. During visual testing, it appeared that spatial inaccuracies in the images exceed 200 feet in several locations. The digital product has not been corrected for distortion nor vertical displacement. Consequently, this product does not meet the National Standard for Spatial Data Accuracy (NSSDA). The mosaic was produced by scanning 15 minute (1:62,500 scale) historical USGS topographic paper maps at 600 dpi and saving them as Tagged Image File Format (TIFF) images. The scanned TIFFs have an approximate pixel resolution of 17 feet. The map images were georeferenced to a fishnet in their native coordinate system and then reprojected to NAD83 NJ State Plane coordinates for use in this service. In most client software, the default spatial reference system of the service will be Geographic Coordinates, WGS84. Several other coordinate systems are supported natively by the WMS (see Supplemental Information).

  5. a

    USGS Geographic Names (GNIS) Overlay Map Service from The National Map

    • catalogue.arctic-sdi.org
    Updated Aug 21, 2023
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    (2023). USGS Geographic Names (GNIS) Overlay Map Service from The National Map [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/search?keyword=name
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    Dataset updated
    Aug 21, 2023
    Description

    USGS developed The National Map (TNM) Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica, current and historical, but not including roads and highways. The dataset holds the federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature classification, and historical and descriptive information. The dataset assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. This dataset is a flat model, establishing no relationships between features, such as hierarchical, spatial, jurisdictional, organizational, administrative, or in any other manner. As an integral part of The National Map, the Gazetteer collects data from a broad program of partnerships with federal, state, and local government agencies and other authorized contributors. The Gazetteer provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map, feature and XML services, file download services, and customized files upon request. The National Map viewer allows free downloads of public domain geographic names data by state in a pipe-delimited text format. For additional information on the GNIS, go to http://nationalmap.gov/gnis.html.

  6. Populated Places

    • hifld-geoplatform.hub.arcgis.com
    Updated Apr 16, 2024
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    GeoPlatform ArcGIS Online (2024). Populated Places [Dataset]. https://hifld-geoplatform.hub.arcgis.com/datasets/populated-places-1
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    Dataset updated
    Apr 16, 2024
    Dataset provided by
    Authors
    GeoPlatform ArcGIS Online
    Area covered
    Pacific Ocean, South Pacific Ocean
    Description

    USGS developed The National Map Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica, current and historical, but not including roads and highways. The dataset holds the federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature classification, and historical and descriptive information. The dataset assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. This dataset is a flat model, establishing no relationships between features, such as hierarchical, spatial, jurisdictional, organizational, administrative, or in any other manner. As an integral part of The National Map, the Gazetteer collects data from a broad program of partnerships with federal, state, and local government agencies and other authorized contributors. The Gazetteer provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map, feature and XML services, file download services, and customized files upon request. The National Map download client allows free downloads of public domain geographic names data by state in a pipe-delimited text format. For additional information on the GNIS, go to https://www.usgs.gov/tools/geographic-names-information-system-gnis. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata.

  7. U

    1/3rd arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Feb 20, 2025
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    U.S. Geological Survey (2025). 1/3rd arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:3a81321b-c153-416f-98b7-cc8e5f0e17c3
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    Dataset updated
    Feb 20, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This is a tiled collection of the 3D Elevation Program (3DEP) and is 1/3 arc-second (approximately 10 m) resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. The seamless 1/3 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The seamless ...

  8. Geographic Names Information System (GNIS) Feature Layers

    • azgeo-open-data-agic.hub.arcgis.com
    • hub.arcgis.com
    • +5more
    Updated Apr 16, 2024
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    GeoPlatform ArcGIS Online (2024). Geographic Names Information System (GNIS) Feature Layers [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/geoplatform::geographic-names-information-system-gnis-feature-layers
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    Dataset updated
    Apr 16, 2024
    Dataset provided by
    Authors
    GeoPlatform ArcGIS Online
    Area covered
    Pacific Ocean, South Pacific Ocean
    Description

    USGS developed The National Map Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica, current and historical, but not including roads and highways. The dataset holds the federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature classification, and historical and descriptive information. The dataset assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. This dataset is a flat model, establishing no relationships between features, such as hierarchical, spatial, jurisdictional, organizational, administrative, or in any other manner. As an integral part of The National Map, the Gazetteer collects data from a broad program of partnerships with federal, state, and local government agencies and other authorized contributors. The Gazetteer provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map, feature and XML services, file download services, and customized files upon request. The National Map download client allows free downloads of public domain geographic names data by state in a pipe-delimited text format. For additional information on the GNIS, go to https://www.usgs.gov/tools/geographic-names-information-system-gnis. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata.

  9. n

    U.S. Geological Survey Aerial Photography

    • cmr.earthdata.nasa.gov
    • data.nasa.gov
    • +2more
    Updated Jan 29, 2016
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    (2016). U.S. Geological Survey Aerial Photography [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1220566204-USGS_LTA.html
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    Dataset updated
    Jan 29, 2016
    Time period covered
    Apr 1, 1937 - Present
    Area covered
    Earth
    Description

    The U.S. Geological Survey (USGS) Aerial Photography data set includes over 2.5 million film transparencies. Beginning in 1937, photographs were acquired for mapping purposes at different altitudes using various focal lengths and film types. The resultant black-and-white photographs contain less than 5 percent cloud cover and were acquired under rigid quality control and project specifications (e.g., stereo coverage, continuous area coverage of map or administrative units). Prior to the initiation of the National High Altitude Photography (NHAP) program in 1980, the USGS photography collection was one of the major sources of aerial photographs used for mapping the United States. Since 1980, the USGS has acquired photographs over project areas that require photographs at a larger scale than the photographs in the NHAP and National Aerial Photography Program collections.

  10. Crossings

    • azgeo-open-data-agic.hub.arcgis.com
    • share-open-data-njtpa.hub.arcgis.com
    • +2more
    Updated Apr 16, 2024
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    GeoPlatform ArcGIS Online (2024). Crossings [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/geoplatform::crossings-1
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    Dataset updated
    Apr 16, 2024
    Dataset provided by
    Authors
    GeoPlatform ArcGIS Online
    Area covered
    Pacific Ocean, South Pacific Ocean
    Description

    USGS developed The National Map Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica, current and historical, but not including roads and highways. The dataset holds the federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature classification, and historical and descriptive information. The dataset assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. This dataset is a flat model, establishing no relationships between features, such as hierarchical, spatial, jurisdictional, organizational, administrative, or in any other manner. As an integral part of The National Map, the Gazetteer collects data from a broad program of partnerships with federal, state, and local government agencies and other authorized contributors. The Gazetteer provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map, feature and XML services, file download services, and customized files upon request. The National Map download client allows free downloads of public domain geographic names data by state in a pipe-delimited text format. For additional information on the GNIS, go to https://www.usgs.gov/tools/geographic-names-information-system-gnis. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata.

  11. Landforms

    • disasters-geoplatform.hub.arcgis.com
    Updated Apr 16, 2024
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    GeoPlatform ArcGIS Online (2024). Landforms [Dataset]. https://disasters-geoplatform.hub.arcgis.com/datasets/landforms-1
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    Dataset updated
    Apr 16, 2024
    Dataset provided by
    Authors
    GeoPlatform ArcGIS Online
    Area covered
    Pacific Ocean, South Pacific Ocean
    Description

    USGS developed The National Map Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica, current and historical, but not including roads and highways. The dataset holds the federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature classification, and historical and descriptive information. The dataset assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. This dataset is a flat model, establishing no relationships between features, such as hierarchical, spatial, jurisdictional, organizational, administrative, or in any other manner. As an integral part of The National Map, the Gazetteer collects data from a broad program of partnerships with federal, state, and local government agencies and other authorized contributors. The Gazetteer provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map, feature and XML services, file download services, and customized files upon request. The National Map download client allows free downloads of public domain geographic names data by state in a pipe-delimited text format. For additional information on the GNIS, go to https://www.usgs.gov/tools/geographic-names-information-system-gnis. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata.

  12. a

    GNIS Cemeteries 2021

    • indianamap-inmap.hub.arcgis.com
    • indianamap.org
    • +1more
    Updated May 15, 2023
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    IndianaMap (2023). GNIS Cemeteries 2021 [Dataset]. https://indianamap-inmap.hub.arcgis.com/datasets/gnis-cemeteries-2021/explore?showTable=true
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    Dataset updated
    May 15, 2023
    Dataset authored and provided by
    IndianaMap
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S. Geological Survey's National Geospatial Program developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying geographic names to Federal electronic and printed products.The GNIS contains information about physical geographic features of many types in the United States, associated areas, and Antarctica, current and historical, but not including roads and highways or cultural features. The database holds the Federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature designations, feature classification, historical and descriptive information.The GNIS Feature ID, Official Feature Name, and Official Feature Location are American National Standards Institute standards as specified in ANSI INCITS 446-2008 (Identifying Attributes for Named Physical and Cultural Geographic Features (Except Roads and Highways) of the United States, Its Territories, Outlying Areas, and Freely Associated Areas, and the Waters of the Same to the Limit of the Twelve-Mile Statutory Zone). The standard is available at the ANSI Web Store.

  13. d

    Sea floor topography and backscatter intensity of the historic area...

    • search.dataone.org
    • datadiscoverystudio.org
    • +1more
    Updated Oct 29, 2016
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    U.S. Geological Survey (2016). Sea floor topography and backscatter intensity of the historic area remediation site [Dataset]. https://search.dataone.org/view/7501704e-20c5-4d94-8871-40929766ffcd
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    USGS Science Data Catalog
    Authors
    U.S. Geological Survey
    Time period covered
    Jan 1, 1996 - Jan 1, 2000
    Area covered
    Description

    This data set includes topography and backscatter intensity of the sea floor of the Historic Area Remediation Site (HARS), located offshore of New York and New Jersey. The data were collected with a multibeam sea floor mapping system on surveys conducted November 23 - December 3, 1996, October 26 - November 11, 1998, and April 6 - 30, 2000. The surveys were conducted using a Simrad EM 1000 multibeam echo sounder mounted aboard the Canadian Hydrographic Service vessel Frederick G. Creed. This multibeam system utilizes 60 electronically aimed receive beams spaced at intervals of 2.5 degrees that insonify a strip of sea floor up to 7.5 times the water depth (swath width of 100 to 200 m within the survey area). The horizontal resolution of the beam on the sea floor is approximately 10% of the water depth (3-5 meters in the survey region). Vertical resolution is approximately 1 percent of the water depth, or 0.3 m. Maps derived from the mulitbeam observations show sea floor topography, shaded relief, and backscatter intensity (a measure of sea floor texture and roughness) at a spatial resolution of 3 m/pixel. These data have been reprocessed from those presented in Butman and others (2002) (see cross reference) to correct for an error in the software that projected the data on a sphere rather than on the WGS84 ellipsoid, and to stretch the backscatter intensity and shaded relief images to match the Hudson Shelf Valley images. The horizontal error in placement of the data published by Butman and others (2002) was 0 in the northwestern corner of the HARS, and reached about 12 m in the southeastern corner. Further work is needed to match the backscatter intensity for the 1996, 1998, and 2000 surveys.

  14. Estimated Subsidence in the San Joaquin Valley between 1949 – 2005

    • s.cnmilf.com
    • data.cnra.ca.gov
    • +3more
    Updated Mar 30, 2024
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    California Department of Water Resources (2024). Estimated Subsidence in the San Joaquin Valley between 1949 – 2005 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/estimated-subsidence-in-the-san-joaquin-valley-between-1949-2005-5a4f8
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    Dataset updated
    Mar 30, 2024
    Dataset provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Area covered
    San Joaquin Valley
    Description

    San Joaquin Valley Subsidence Analysis README. Written: Joel Dudas, 3/12/2017. Amended: Ben Brezing, 4/2/2019. DWR’s Division of Engineering Geodetic Branch received a request in 1/2017 from Jeanine Jones to produce a graphic of historic subsidence in the entirety of the San Joaquin Valley. The task was assigned to the Mapping & Photogrammetry Office and the Geospatial Data Support Section to complete by early February. After reviewing the alternatives, the decision was made to produce contours from the oldest available set of quad maps for which there was reasonable certainty about quality and datum, and to compare that to the most current Valley-wide DEM. For the first requirement, research indicated that the 1950’s vintage quad maps for the Valley were the best alternative. Prior quad map editions are uneven in quality and vintage, and the actual control used for the contour lines was extremely suspect. The 1950’s quads, by contrast, were produced primarily on the basis of 1948-1949 aerial photography, along with control corresponding to that period, and referenced to the National Geodetic Vertical Datum of 1929. For the current set, the most recent Valley-wide dataset that was freely available, in the public _domain, and of reasonable accuracy was the 2005 NextMap SAR acquisition (referenced to NAVD88). The primary bulk of the work focused on digitizing the 1950’s contours. First, all of the necessary quads were downloaded from the online USGS quad source https://ngmdb.usgs.gov/maps/Topoview/viewer/#4/41.13/-107.51. Then the entire staff of the Mapping & Photogrammetry Lab (including both the Mapping Office and GDDS staff) proceeded to digitize the contours. Given the short turnaround time constraint and limited budget, certain shortcuts occurred in contour development. While efforts were made to digitize accurately, speed really was important. Contours were primarily focused only on agricultural and other lowland areas, and so highlands were by and large skipped. The tight details of contours along rivers, levees, and hillsides was skipped and/or simplified. In some cases, only major contours were digitized. The mapping on the source quads itself varied….in a few cases on spot elevations on benchmarks were available in quads. The contour interval sometimes varied, even within the quad sheet itself. In addition, because 8 different people were creating the contours, variability exists in the style and attention to detail. It should be understood that given the purpose of the project (display regional subsidence patterns), that literal and precise development of the historic contour sets leaves some things to be desired. These caveats being said, the linework is reasonably accurate for what it is (particularly given that the contours of that era themselves were mapped at an unknown and varying actual quality). The digitizers tagged the lines with Z values manually entered after linework that corresponded to the mapped elevation contours. Joel Dudas then did what could be called a “rough” QA/QC of the contours. The individual lines were stitched together into a single contour set, and exported to an elevation raster (using TopoToRaster in ArcGIS 10.4). Gross blunders in Z values were corrected. Gaps in the coverage were filled. The elevation grid was then adjusted to NAVD88 using a single adjustment for the entire coverage area (2.5’, which is a pretty close average of values in this region). The NextMap data was extracted for the area, and converted into feet. The two raster sets were fixed to the same origin point. The subsidence grid was then created by subtracting the old contour-derived grid from the NextMAP DEM. The subsidence grid that includes all of the values has the suffix “ALL”. Then, to improve the display fidelity, some of the extreme values (above +5’ and below -20’*) were filtered out of the dataset, and the subsidence grid was regenerated for these areas and suffixed with “cut.” The purpose of this cut was to extract some of the riverine and hilly areas that produced more extreme values and other artifacts purely due to the analysis approach (i.e. not actual real elevation change). * - some of the areas with more than 20 feet of subsidence were omitted from this clipping, because they were in heavily subsided areas and may be “real subsidence.”The resulting subsidence product should be perceived in light of the above. Some of the collar of the San Joaquin Valley shows large changes, but that is simply due to the analysis method. Also, individual grid cells may or may not be comparing the same real features. Errors are baked into both comparison datasets. However, it is important to note that the large areas of subsidence in the primary agriculture area agree fairly well with a cruder USGS subsidence map of the Valley based on extensometer data. We have confidence that the big picture story these results show us is largely correct, and that the magnitudes of subsidence are somewhat reasonable. The contour set can serve as the baseline to support future comparisons using more recent or future data as it becomes available. It should be noted there are two key versions of the data. The “Final Deliverables” from 2/2017 were delivered to support the initial Public Affairs press release. Subsequent improvements were made in coverage and blunder correction as time permitted (it should be noted this occurred in the midst of the Oroville Dam emergency) to produce the final as of 3/12/2017. Further improvements in overall quality and filtering could occur in the future if time and needs demand it. Update (4/3/2019, Ben Brezing): The raster was further smoothed to remove artifacts that result from comparing the high resolution NextMAP DEM to the lower resolution DEM that was derived from the 1950’s quad map contours. The smoothing was accomplished by removing raster cells with values that are more than 0.5 feet different than adjacent cells (25 meter cell size), as well as the adjacent cells. The resulting raster was then resampled to a raster with 100 meter cell size using cubic resampling technique and was then converted to a point feature class. The point feature class was then interpolated to a raster with 250 meter cell size using the IDW technique, a fixed search radius of 1250 meters and power=2. The resulting raster was clipped to a smaller extent to remove noisier areas around the edges of the Central Valley while retaining coverage for the main area of interest.

  15. Data from: Watershed Boundary Dataset (WBD)

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 30, 2023
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    Subcommittee on Spatial Water Data (2023). Watershed Boundary Dataset (WBD) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Watershed_Boundary_Dataset_WBD_/24661371
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    binAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Subcommittee on Spatial Water Data
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The Watershed Boundary Dataset (WBD) from The National Map (TNM) defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. The drainage areas are nested within each other so that a large drainage area, such as the Upper Mississippi River, is composed of multiple smaller drainage areas, such as the Wisconsin River. Each of these smaller areas can further be subdivided into smaller and smaller drainage areas. The WBD uses six different levels in this hierarchy, with the smallest averaging about 30,000 acres. The WBD is made up of polygons nested into six levels of data respectively defined by Regions, Subregions, Basins, Subbasins, Watersheds, and Subwatersheds. For additional information on the WBD, go to https://nhd.usgs.gov/wbd.html. The USGS National Hydrography Dataset (NHD) service is a companion dataset to the WBD. The NHD is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000-scale maps and referred to as high resolution NHD, and the other based on 1:100,000-scale maps and referred to as medium resolution NHD. Additional selected areas in the United States are available based on larger scales, such as 1:5,000-scale or greater, and referred to as local resolution NHD. For more information on the NHD, go to https://nhd.usgs.gov/index.html. Hydrography data from The National Map supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. Hydrography data is commonly combined with other data themes, such as boundaries, elevation, structures, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain WBD and NHD data in either Esri File or Personal Geodatabase, or Shapefile formats. The Watershed Boundary Dataset is being developed under the leadership of the Subcommittee on Spatial Water Data, which is part of the Advisory Committee on Water Information (ACWI) and the Federal Geographic Data Committee (FGDC). The USDA Natural Resources Conservation Service (NRCS), along with many other federal agencies and national associations, have representatives on the Subcommittee on Spatial Water Data. As watershed boundary geographic information systems (GIS) coverages are completed, statewide and national data layers will be made available via the Geospatial Data Gateway to everyone, including federal, state, local government agencies, researchers, private companies, utilities, environmental groups, and concerned citizens. The database will assist in planning and describing water use and related land use activities. Resources in this dataset:Resource Title: Watershed Boundary Dataset (WBD). File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/national/water/watersheds/dataset/?cid=nrcs143_021630 Web site for the Watershed Boundary Dataset (WBD), including links to:

    Review Data Availability (Status Maps) Obtain Data by State, County, or Other Area Obtain Seamless National Data offsite link image
    Geospatial Data Tools National Technical and State Coordinators Information about WBD dataset

  16. d

    Ground Water SPA

    • catalog.data.gov
    • anrgeodata.vermont.gov
    • +8more
    Updated Dec 13, 2024
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    Dept of Environmental Conservation, Water Resource Section (2024). Ground Water SPA [Dataset]. https://catalog.data.gov/dataset/ground-water-spa-95c6f
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    Dataset updated
    Dec 13, 2024
    Dataset provided by
    Dept of Environmental Conservation, Water Resource Section
    Description

    Groundwater SPA. This GIS layer consists of the geographic location of the Source Protection Areas for active and inactive Public Community and Non-Transient Non-Community groundwater sources labeled by the Water System Identification Number (WSID) and source number (i.e. WL001 or IN002). The source locations are drawn from the State Drinking Water database (SDWIS). The water sources are wells and springs that predate regulations developed in the 1970s to new sources under review now. Source Protection Area (SPA) boundaries have been located on RF 24000 & RF 25000 scale USGS topographic maps by Water Supply Division (DEC) and VT Dept of Health (historical) personnel. Buffered SPAs are based on the point location of the water source(s). Refer to the SOURCE coverage documentation file for information on data sources used.For information regarding attributes of Public Water Source feature layers, please download the:Public Water Sources Data DictionaryUPDATE: 6/17/2022 to add source information and recent edits by DWGWP staff.

  17. VDEQ Springs FIELD MEASUREMENTS

    • opendata.winchesterva.gov
    • data.virginia.gov
    Updated Aug 31, 2023
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    Virginia State Data (2023). VDEQ Springs FIELD MEASUREMENTS [Dataset]. https://opendata.winchesterva.gov/dataset/vdeq-springs-field-measurements
    Explore at:
    gdb, xlsx, txt, gpkg, geojson, zip, csv, arcgis geoservices rest api, kml, htmlAvailable download formats
    Dataset updated
    Aug 31, 2023
    Dataset provided by
    Virginia Department of Environmental Qualityhttps://deq.virginia.gov/
    Authors
    Virginia State Data
    Description
    The VDEQ Spring SITES database contains data describing the geographic locations and site attributes of natural springs throughout the commonwealth. This data coverage continues to evolve and contains only spring locations known to exist with a reasonable degree of certainty on the date of publication. The dataset does not replace site specific inventorying or receptor surveys but can be used as a starting point. VDEQ's initial geospatial dataset of approximately 325 springs was formed in 2008 by digitizing historical spring information sheets created by State Water Control Board geologists in the 1970s through early 1990s. Additional data has been consolidated from the EPA STORET database, the U.S. Geological Survey's Ground Water Site Inventory (GWSI) and Geographic Names Inventory System (GNIS), the Virginia Department of Health SDWIS database, the Virginia DEQ Virginia Water Use Data Set (VWUDS), the Commonwealth of Virginia Division of Water Resources and Power Bulletin No. 1: "Springs of Virginia" by Collins et al., 1930 as well as several VDWR&P Surface Water Supply bulletins from the 1940's - 1950's. A 1992 Virginia Department of Game and Inland Fisheries / Virginia Tech sponsored study by Helfrich et al. titled "Evaluation of the Natural Springs of Virginia: Fisheries Management Implications", a 2004 Rockbridge County groundwater resources report written by Frits van der Leeden, and several smaller datasets from consultants and citizens were evaluated and added to the database when confidence in locational accuracy was high or could be verified with aerial or LIDAR imagery. Significant contributions have been made throughout the years by VDEQ Groundwater Characterization staff site visits as well as other geologists working in the region including: Matt Heller at Virginia Division of Geology and Mineral Resources (VDMME), Wil Orndorff at the Virginia Department of Conservation and Recreation Karst Program (VDCR), and David Nelms and Dan Doctor of the U.S. Geological Survey (USGS). Substantial effort has been made to improve locational accuracy and remove duplication present between data sources. Hundreds of spring locations that were originally obtained using topographic maps or unknown methods were updated to sub-meter locational accuracy using post-processed differential GPS (PPGPS) and through the use of several generations of aerial imagery (2002-2017) obtained from Virginia's Geographic Information Network (VGIN) and 1-meter LIDAR, where available. Scores of new spring locations were also obtained by systematic quadrangle by quadrangle analysis in areas of the Shenandoah Valley where 1-meter LIDAR datasets where obtained from the U.S. Geological Survey. Future improvements to the dataset will result when statewide 1-meter LIDAR datasets becomes available and through continued field work by DEQ staff and other contributors working in the region. Please do not hesitate to contact the author to correct mistakes or to contribute to the database.

    The VDEQ Spring FIELD MEASUREMENTS database contains data describing field derived physio-chemical properties of spring discharges measured throughout the Commonwealth of Virginia. Field visits compiled in this dataset were performed from 1928 to 2019 by geologists with the State Water Control Board, the Virginia Division of Water and Power, the Virginia Department of Environmental Quality, and the U.S. Geological Survey with contributions from other sources as noted. Values of -9999 indicate that measurements were not performed for the referenced parameter. Please do not hesitate to contact the author to add data to the database or correct errors.


    The VDEQ_Spring_WQ database is a geodatabase containing groundwater sample information collected from springs throughout Virginia. Sample specific information include: location and site information, measured field parameters, and lab verified quantifications of major ionic concentrations, trace element concentrations, nutrient concentrations, and radiological data. The VDEQ_Spring_WQ database is a subset of the VDEQ GWCHEM database which is a flat-file geodatabase containing groundwater sample information from groundwater wells and springs throughout Virginia. Sample information has been correlated via DEQ Well # and projected using coordinates in VDEQ_Spring_SITES database. The GWCHEM database is comprised of historic groundwater sample data originally archived in the United States Geological Survey (USGS) National Water Information System (NWIS) and the Environmental Protection Agency (EPA) Storage and Retrieval (STORET) data warehouse. Archived STORET data originated as groundwater sample data collected and uploaded by Virginia State Water Control Board Personnel. While groundwater sample data in the STORET data warehouse are static, new groundwater sample data are periodically uploaded to NWIS and spring laboratory WQ data reflect NWIS downloaded on 9/30/2019. Recent groundwater sample data collected by Virginia Department of Environmental Quality (DEQ) personnel as part of the Ambient Groundwater Sampling Program are entered into the database as lab results are made available by the Division of Consolidated Laboratory Services (DCLS). When possible, charge balances were calculated for samples with reported values for major ions including (at a minimum) calcium, magnesium, potassium, sodium, bicarbonate, chloride, and sulfate. Reported values for Nitrate as N, carbonate, and fluoride were included in the charge balance calculation when available. Field determined values for bicarbonate and carbonate were used in the charge balance calculation when available. For much of the legacy DEQ groundwater sample data, bicarbonate values were derived from lab reported values of alkalinity (as mg/CaCO3) under the assumption that there was no contribution by carbonate to the reported alkalinity value. Charge balance values are reported in the "Charge Balance" column of the GWCHEM geodatabase. The closer the charge balance value is to unity (1), the lower the assumed charge balance error.In order to preserve the numerical capabilities of the database, non- numeric lab qualifiers were given the following numeric identifiers:- (minus sign) = less than the concentration specified to the right of the sign-11110 = estimated-22220 = presence verified but not quantified-33330 = radchem non-detect, below sslc-4440 = analyzed for but not detected-55550 = greater than the concentration to the right of the zero-66660 = sample held beyond normal holding time-77770 = quality control failure. Data not valid.-88880 = sample held beyond normal holding time. Sample analyzed for but not detected. Value stored is limit of detection for proces in use.-11120 = Value reported is less than the criteria of detection.-9999 = no data (parameter not quantified)

    A more in depth descprition and hydrogeologic analysis of the database can be found here
    An in Depth data fact sheet can be found here
  18. VDEQ Spring SITES

    • opendata.winchesterva.gov
    • data.virginia.gov
    Updated Aug 31, 2023
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    Virginia State Data (2023). VDEQ Spring SITES [Dataset]. https://opendata.winchesterva.gov/dataset/vdeq-spring-sites
    Explore at:
    kml, gpkg, zip, html, txt, arcgis geoservices rest api, xlsx, geojson, csv, gdbAvailable download formats
    Dataset updated
    Aug 31, 2023
    Dataset provided by
    Virginia Department of Environmental Qualityhttps://deq.virginia.gov/
    Authors
    Virginia State Data
    Description
    The VDEQ Spring SITES database contains data describing the geographic locations and site attributes of natural springs throughout the commonwealth. This data coverage continues to evolve and contains only spring locations known to exist with a reasonable degree of certainty on the date of publication. The dataset does not replace site specific inventorying or receptor surveys but can be used as a starting point. VDEQ's initial geospatial dataset of approximately 325 springs was formed in 2008 by digitizing historical spring information sheets created by State Water Control Board geologists in the 1970s through early 1990s. Additional data has been consolidated from the EPA STORET database, the U.S. Geological Survey's Ground Water Site Inventory (GWSI) and Geographic Names Inventory System (GNIS), the Virginia Department of Health SDWIS database, the Virginia DEQ Virginia Water Use Data Set (VWUDS), the Commonwealth of Virginia Division of Water Resources and Power Bulletin No. 1: "Springs of Virginia" by Collins et al., 1930 as well as several VDWR&P Surface Water Supply bulletins from the 1940's - 1950's. A 1992 Virginia Department of Game and Inland Fisheries / Virginia Tech sponsored study by Helfrich et al. titled "Evaluation of the Natural Springs of Virginia: Fisheries Management Implications", a 2004 Rockbridge County groundwater resources report written by Frits van der Leeden, and several smaller datasets from consultants and citizens were evaluated and added to the database when confidence in locational accuracy was high or could be verified with aerial or LIDAR imagery. Significant contributions have been made throughout the years by VDEQ Groundwater Characterization staff site visits as well as other geologists working in the region including: Matt Heller at Virginia Division of Geology and Mineral Resources (VDMME), Wil Orndorff at the Virginia Department of Conservation and Recreation Karst Program (VDCR), and David Nelms and Dan Doctor of the U.S. Geological Survey (USGS). Substantial effort has been made to improve locational accuracy and remove duplication present between data sources. Hundreds of spring locations that were originally obtained using topographic maps or unknown methods were updated to sub-meter locational accuracy using post-processed differential GPS (PPGPS) and through the use of several generations of aerial imagery (2002-2017) obtained from Virginia's Geographic Information Network (VGIN) and 1-meter LIDAR, where available. Scores of new spring locations were also obtained by systematic quadrangle by quadrangle analysis in areas of the Shenandoah Valley where 1-meter LIDAR datasets where obtained from the U.S. Geological Survey. Future improvements to the dataset will result when statewide 1-meter LIDAR datasets becomes available and through continued field work by DEQ staff and other contributors working in the region. Please do not hesitate to contact the author to correct mistakes or to contribute to the database.

    The VDEQ Spring FIELD MEASUREMENTS database contains data describing field derived physio-chemical properties of spring discharges measured throughout the Commonwealth of Virginia. Field visits compiled in this dataset were performed from 1928 to 2019 by geologists with the State Water Control Board, the Virginia Division of Water and Power, the Virginia Department of Environmental Quality, and the U.S. Geological Survey with contributions from other sources as noted. Values of -9999 indicate that measurements were not performed for the referenced parameter. Please do not hesitate to contact the author to add data to the database or correct errors.


    The VDEQ_Spring_WQ database is a geodatabase containing groundwater sample information collected from springs throughout Virginia. Sample specific information include: location and site information, measured field parameters, and lab verified quantifications of major ionic concentrations, trace element concentrations, nutrient concentrations, and radiological data. The VDEQ_Spring_WQ database is a subset of the VDEQ GWCHEM database which is a flat-file geodatabase containing groundwater sample information from groundwater wells and springs throughout Virginia. Sample information has been correlated via DEQ Well # and projected using coordinates in VDEQ_Spring_SITES database. The GWCHEM database is comprised of historic groundwater sample data originally archived in the United States Geological Survey (USGS) National Water Information System (NWIS) and the Environmental Protection Agency (EPA) Storage and Retrieval (STORET) data warehouse. Archived STORET data originated as groundwater sample data collected and uploaded by Virginia State Water Control Board Personnel. While groundwater sample data in the STORET data warehouse are static, new groundwater sample data are periodically uploaded to NWIS and spring laboratory WQ data reflect NWIS downloaded on 9/30/2019. Recent groundwater sample data collected by Virginia Department of Environmental Quality (DEQ) personnel as part of the Ambient Groundwater Sampling Program are entered into the database as lab results are made available by the Division of Consolidated Laboratory Services (DCLS). When possible, charge balances were calculated for samples with reported values for major ions including (at a minimum) calcium, magnesium, potassium, sodium, bicarbonate, chloride, and sulfate. Reported values for Nitrate as N, carbonate, and fluoride were included in the charge balance calculation when available. Field determined values for bicarbonate and carbonate were used in the charge balance calculation when available. For much of the legacy DEQ groundwater sample data, bicarbonate values were derived from lab reported values of alkalinity (as mg/CaCO3) under the assumption that there was no contribution by carbonate to the reported alkalinity value. Charge balance values are reported in the "Charge Balance" column of the GWCHEM geodatabase. The closer the charge balance value is to unity (1), the lower the assumed charge balance error.In order to preserve the numerical capabilities of the database, non- numeric lab qualifiers were given the following numeric identifiers:- (minus sign) = less than the concentration specified to the right of the sign-11110 = estimated-22220 = presence verified but not quantified-33330 = radchem non-detect, below sslc-4440 = analyzed for but not detected-55550 = greater than the concentration to the right of the zero-66660 = sample held beyond normal holding time-77770 = quality control failure. Data not valid.-88880 = sample held beyond normal holding time. Sample analyzed for but not detected. Value stored is limit of detection for proces in use.-11120 = Value reported is less than the criteria of detection.-9999 = no data (parameter not quantified)

    A more in depth descprition and hydrogeologic analysis of the database can be found here
    An in Depth data fact sheet can be found here
  19. A

    Surging Seas: Risk Zone Map

    • data.amerigeoss.org
    • amerigeo.org
    esri rest, html
    Updated Feb 18, 2019
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    AmeriGEO ArcGIS (2019). Surging Seas: Risk Zone Map [Dataset]. https://data.amerigeoss.org/ar/dataset/surging-seas-risk-zone-map
    Explore at:
    esri rest, htmlAvailable download formats
    Dataset updated
    Feb 18, 2019
    Dataset provided by
    AmeriGEO ArcGIS
    Description

    Introduction

    Climate Central’s Surging Seas: Risk Zone map shows areas vulnerable to near-term flooding from different combinations of sea level rise, storm surge, tides, and tsunamis, or to permanent submersion by long-term sea level rise. Within the U.S., it incorporates the latest, high-resolution, high-accuracy lidar elevation data supplied by NOAA (exceptions: see Sources), displays points of interest, and contains layers displaying social vulnerability, population density, and property value. Outside the U.S., it utilizes satellite-based elevation data from NASA in some locations, and Climate Central’s more accurate CoastalDEM in others (see Methods and Qualifiers). It provides the ability to search by location name or postal code.

    The accompanying Risk Finder is an interactive data toolkit available for some countries that provides local projections and assessments of exposure to sea level rise and coastal flooding tabulated for many sub-national districts, down to cities and postal codes in the U.S. Exposure assessments always include land and population, and in the U.S. extend to over 100 demographic, economic, infrastructure and environmental variables using data drawn mainly from federal sources, including NOAA, USGS, FEMA, DOT, DOE, DOI, EPA, FCC and the Census.

    This web tool was highlighted at the launch of The White House's Climate Data Initiative in March 2014. Climate Central's original Surging Seas was featured on NBC, CBS, and PBS U.S. national news, the cover of The New York Times, in hundreds of other stories, and in testimony for the U.S. Senate. The Atlantic Cities named it the most important map of 2012. Both the Risk Zone map and the Risk Finder are grounded in peer-reviewed science.

    Back to top


    Methods and Qualifiers

    This map is based on analysis of digital elevation models mosaicked together for near-total coverage of the global coast. Details and sources for U.S. and international data are below. Elevations are transformed so they are expressed relative to local high tide lines (Mean Higher High Water, or MHHW). A simple elevation threshold-based “bathtub method” is then applied to determine areas below different water levels, relative to MHHW. Within the U.S., areas below the selected water level but apparently not connected to the ocean at that level are shown in a stippled green (as opposed to solid blue) on the map. Outside the U.S., due to data quality issues and data limitations, all areas below the selected level are shown as solid blue, unless separated from the ocean by a ridge at least 20 meters (66 feet) above MHHW, in which case they are shown as not affected (no blue).

    Areas using lidar-based elevation data: U.S. coastal states except Alaska
    Elevation data used for parts of this map within the U.S. come almost entirely from ~5-meter horizontal resolution digital elevation models curated and distributed by NOAA in its Coastal Lidar collection, derived from high-accuracy laser-rangefinding measurements. The same data are used in NOAA’s Sea Level Rise Viewer. (High-resolution elevation data for Louisiana, southeast Virginia, and limited other areas comes from the U.S. Geological Survey (USGS)).

    Areas using CoastalDEM™ elevation data: Antigua and Barbuda, Barbados, Corn Island (Nicaragua), Dominica, Dominican Republic, Grenada, Guyana, Haiti, Jamaica, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, San Blas (Panama), Suriname, The Bahamas, Trinidad and Tobago.

    CoastalDEM™ is a proprietary high-accuracy bare earth elevation dataset developed especially for low-lying coastal areas by Climate Central. Use our contact form to request more information.

    Warning for areas using other elevation data (all other areas)
    Areas of this map not listed above use elevation data on a roughly 90-meter horizontal resolution grid derived from NASA’s Shuttle Radar Topography Mission (SRTM). SRTM provides surface elevations, not bare earth elevations, causing it to commonly overestimate elevations, especially in areas with dense and tall buildings or vegetation. Therefore, the map under-portrays areas that could be submerged at each water level, and exposure is greater than shown (Kulp and Strauss, 2016). However, SRTM includes error in both directions, so some areas showing exposure may not be at risk.

    SRTM data do not cover latitudes farther north than 60 degrees or farther south than 56 degrees, meaning that sparsely populated parts of Arctic Circle nations are not mapped here, and may show visual artifacts.

    Areas of this map in Alaska use elevation data on a roughly 60-meter horizontal resolution grid supplied by the U.S. Geological Survey (USGS). This data is referenced to a vertical reference frame from 1929, based on historic sea levels, and with no established conversion to modern reference frames. The data also do not take into account subsequent land uplift and subsidence, widespread in the state. As a consequence, low confidence should be placed in Alaska map portions.

    Flood control structures (U.S.)
    Levees, walls, dams or other features may protect some areas, especially at lower elevations. Levees and other flood control structures are included in this map within but not outside of the U.S., due to poor and missing data. Within the U.S., data limitations, such as an incomplete inventory of levees, and a lack of levee height data, still make assessing protection difficult. For this map, levees are assumed high and strong enough for flood protection. However, it is important to note that only 8% of monitored levees in the U.S. are rated in “Acceptable” condition

  20. VDEQ Springs WQ

    • opendata.winchesterva.gov
    • data.virginia.gov
    • +1more
    Updated Aug 31, 2023
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    Virginia State Data (2023). VDEQ Springs WQ [Dataset]. https://opendata.winchesterva.gov/dataset/vdeq-springs-wq
    Explore at:
    gdb, html, txt, gpkg, zip, xlsx, arcgis geoservices rest api, geojson, csv, kmlAvailable download formats
    Dataset updated
    Aug 31, 2023
    Dataset provided by
    Virginia Department of Environmental Qualityhttps://deq.virginia.gov/
    Authors
    Virginia State Data
    Description
    The VDEQ Spring SITES database contains data describing the geographic locations and site attributes of natural springs throughout the commonwealth. This data coverage continues to evolve and contains only spring locations known to exist with a reasonable degree of certainty on the date of publication. The dataset does not replace site specific inventorying or receptor surveys but can be used as a starting point. VDEQ's initial geospatial dataset of approximately 325 springs was formed in 2008 by digitizing historical spring information sheets created by State Water Control Board geologists in the 1970s through early 1990s. Additional data has been consolidated from the EPA STORET database, the U.S. Geological Survey's Ground Water Site Inventory (GWSI) and Geographic Names Inventory System (GNIS), the Virginia Department of Health SDWIS database, the Virginia DEQ Virginia Water Use Data Set (VWUDS), the Commonwealth of Virginia Division of Water Resources and Power Bulletin No. 1: "Springs of Virginia" by Collins et al., 1930 as well as several VDWR&P Surface Water Supply bulletins from the 1940's - 1950's. A 1992 Virginia Department of Game and Inland Fisheries / Virginia Tech sponsored study by Helfrich et al. titled "Evaluation of the Natural Springs of Virginia: Fisheries Management Implications", a 2004 Rockbridge County groundwater resources report written by Frits van der Leeden, and several smaller datasets from consultants and citizens were evaluated and added to the database when confidence in locational accuracy was high or could be verified with aerial or LIDAR imagery. Significant contributions have been made throughout the years by VDEQ Groundwater Characterization staff site visits as well as other geologists working in the region including: Matt Heller at Virginia Division of Geology and Mineral Resources (VDMME), Wil Orndorff at the Virginia Department of Conservation and Recreation Karst Program (VDCR), and David Nelms and Dan Doctor of the U.S. Geological Survey (USGS). Substantial effort has been made to improve locational accuracy and remove duplication present between data sources. Hundreds of spring locations that were originally obtained using topographic maps or unknown methods were updated to sub-meter locational accuracy using post-processed differential GPS (PPGPS) and through the use of several generations of aerial imagery (2002-2017) obtained from Virginia's Geographic Information Network (VGIN) and 1-meter LIDAR, where available. Scores of new spring locations were also obtained by systematic quadrangle by quadrangle analysis in areas of the Shenandoah Valley where 1-meter LIDAR datasets where obtained from the U.S. Geological Survey. Future improvements to the dataset will result when statewide 1-meter LIDAR datasets becomes available and through continued field work by DEQ staff and other contributors working in the region. Please do not hesitate to contact the author to correct mistakes or to contribute to the database.

    The VDEQ Spring FIELD MEASUREMENTS database contains data describing field derived physio-chemical properties of spring discharges measured throughout the Commonwealth of Virginia. Field visits compiled in this dataset were performed from 1928 to 2019 by geologists with the State Water Control Board, the Virginia Division of Water and Power, the Virginia Department of Environmental Quality, and the U.S. Geological Survey with contributions from other sources as noted. Values of -9999 indicate that measurements were not performed for the referenced parameter. Please do not hesitate to contact the author to add data to the database or correct errors.


    The VDEQ_Spring_WQ database is a geodatabase containing groundwater sample information collected from springs throughout Virginia. Sample specific information include: location and site information, measured field parameters, and lab verified quantifications of major ionic concentrations, trace element concentrations, nutrient concentrations, and radiological data. The VDEQ_Spring_WQ database is a subset of the VDEQ GWCHEM database which is a flat-file geodatabase containing groundwater sample information from groundwater wells and springs throughout Virginia. Sample information has been correlated via DEQ Well # and projected using coordinates in VDEQ_Spring_SITES database. The GWCHEM database is comprised of historic groundwater sample data originally archived in the United States Geological Survey (USGS) National Water Information System (NWIS) and the Environmental Protection Agency (EPA) Storage and Retrieval (STORET) data warehouse. Archived STORET data originated as groundwater sample data collected and uploaded by Virginia State Water Control Board Personnel. While groundwater sample data in the STORET data warehouse are static, new groundwater sample data are periodically uploaded to NWIS and spring laboratory WQ data reflect NWIS downloaded on 9/30/2019. Recent groundwater sample data collected by Virginia Department of Environmental Quality (DEQ) personnel as part of the Ambient Groundwater Sampling Program are entered into the database as lab results are made available by the Division of Consolidated Laboratory Services (DCLS). When possible, charge balances were calculated for samples with reported values for major ions including (at a minimum) calcium, magnesium, potassium, sodium, bicarbonate, chloride, and sulfate. Reported values for Nitrate as N, carbonate, and fluoride were included in the charge balance calculation when available. Field determined values for bicarbonate and carbonate were used in the charge balance calculation when available. For much of the legacy DEQ groundwater sample data, bicarbonate values were derived from lab reported values of alkalinity (as mg/CaCO3) under the assumption that there was no contribution by carbonate to the reported alkalinity value. Charge balance values are reported in the "Charge Balance" column of the GWCHEM geodatabase. The closer the charge balance value is to unity (1), the lower the assumed charge balance error.In order to preserve the numerical capabilities of the database, non- numeric lab qualifiers were given the following numeric identifiers:- (minus sign) = less than the concentration specified to the right of the sign-11110 = estimated-22220 = presence verified but not quantified-33330 = radchem non-detect, below sslc-4440 = analyzed for but not detected-55550 = greater than the concentration to the right of the zero-66660 = sample held beyond normal holding time-77770 = quality control failure. Data not valid.-88880 = sample held beyond normal holding time. Sample analyzed for but not detected. Value stored is limit of detection for proces in use.-11120 = Value reported is less than the criteria of detection.-9999 = no data (parameter not quantified)

    A more in depth descprition and hydrogeologic analysis of the database can be found here
    An in Depth data fact sheet can be found here
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Esri (2019). USGS Historical Topographic Map Explorer [Dataset]. https://data.amerigeoss.org/dataset/usgs-historical-topographic-map-explorer1
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USGS Historical Topographic Map Explorer

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33 scholarly articles cite this dataset (View in Google Scholar)
arcgis geoservices rest api, htmlAvailable download formats
Dataset updated
Oct 10, 2019
Dataset provided by
Esrihttp://esri.com/
Description

The ArcGIS Online US Geological Survey (USGS) topographic map collection now contains over 177,000 historical quadrangle maps dating from 1882 to 2006. The USGS Historical Topographic Map Explorer app brings these maps to life through an interface that guides users through the steps for exploring the map collection:

  • Find a location of interest.
  • View the maps.
  • Compare the maps.
  • Download and share the maps or open them in ArcGIS Desktop (ArcGIS Pro or ArcMap) where places will appear in their correct geographic location.
  • Save the maps in an ArcGIS Online web map.

Finding the maps of interest is simple. Users can see a footprint of the map in the map view before they decide to add it to the display, and thumbnails of the maps are shown in pop-ups on the timeline. The timeline also helps users find maps because they can zoom and pan, and maps at select scales can be turned on or off by using the legend boxes to the left of the timeline. Once maps have been added to the display, users can reorder them by dragging them. Users can also download maps as zipped GeoTIFF images. Users can also share the current state of the app through a hyperlink or social media. This ArcWatch article guides you through each of these steps: https://www.esri.com/esri-news/arcwatch/1014/envisioning-the-past.


Once signed in, users can create a web map with the current map view and any maps they have selected. The web map will open in ArcGIS Online. The title of the web map will be the same as the top map on the side panel of the app. All historical maps that were selected in the app will appear in the Contents section of the web map with the earliest at the top and the latest at the bottom. Turning the historical maps on and off or setting the transparency on the layers allows users to compare the historical maps over time. Also, the web map can be opened in ArcGIS Desktop (ArcGIS Pro or ArcMap) and used for exploration or data capture.

Users can find out more about the USGS topograhic map collection and the app by clicking on the information button at the upper right. This opens a pop-up with information about the maps and app. The pop-up includes a useful link to a USGS web page that provides access to documents with keys explaining the symbols on historic and current USGS topographic maps. The pop-up also has a link to send Esri questions or comments about the map collection or the app.

We have shared the updated app on GitHub, so users can download it and configure it to work with their own map collections.

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