AndreaBozzo/ceres-open-data-index huggingface dataset:
2023-2024 NOAA NGS Topobathy Lidar DEM: Ozarks area (Missouri, Arkansas and Oklahoma Rivers)

In July 2023, NV5 was contracted by the National Oceanic and Atmospheric Administration (NOAA) to collect topobathymetric Light Detection and Ranging (lidar) data from August 2023 to July 2024 for the NOAA Ozarks site. The NOAA Ozarks area of interest encompasses several river sections in Missouri, Arkansas, and Oklahoma. In total, the base project area of the NOAA Ozarks project encompasses approximately 745 square statute miles.

The final classified lidar data were transformed from ellipsoid (GRS80) to geoidal height (Geoid18) and used to create topobathymetric DEMs in Cloud Optimized GeoTIFF format with 1m pixel resolution.

Tags: airplane, arkansas, biosphere, continent, digital elevation/digital terrain models, digital elevation/terrain model (dem), doc/noaa/nos/ngs, earth science, earth science services, ecosystems, freshwater ecosystems, land surface, lidar, light detection and ranging, missouri, models, national geodetic survey, national ocean service, ngs lidar, noaa, north america, oklahoma, rivers/stream, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Mapping Program of  PORT OF CONNEAUT, OH, OH1502-CS-N

These data provide an accurate high-resolution shoreline compiled from imagery of  PORT OF CONNEAUT, OH .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, ohio, port of conneaut, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  Vicinity of Palm Harbor, FL, FL1948A

These data were automated to provide an accurate high-resolution historical shoreline of  Vicinity of Palm Harbor, FL  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, florida, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, t-sheet, tp-sheet, u.s. department of commerce, united states of america, vicinity of palm harbor, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  Back River, Virginia, PH118

These data were automated to provide an accurate high-resolution historical shoreline of  Back River, Virginia  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: back river, coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, t-sheet, tp-sheet, u.s. department of commerce, united states of america, virginia, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Mapping Program of  Port of Ashtabula, OH, OH2002-CS-T

These data provide an accurate high-resolution shoreline compiled from imagery of  Port of Ashtabula, OH .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, ohio, port of ashtabula, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Mapping Program of  PORT OF BRUNSWICK, GA, GA1004

These data provide an accurate high-resolution shoreline compiled from imagery of  PORT OF BRUNSWICK, GA .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, georgia, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, port of brunswick, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2017 NOAA NGS Ortho-rectified Near-Infrared Mosaic of Milwaukee, Wisconsin

This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative.  The source imagery was acquired from 20170808 - 20170808 with an Applanix Digital Sensor System (DSS).  The original images were acquired at a higher resolution to support the final ortho-rectified mosaic.

Tags: 20170808, aerial, aircraft, cameras, coastal, continent, digital orthophotography, doc/noaa/nos/ngs, earth science, infrared imagery, infrared wavelengths, mosaic, national geodetic survey, national ocean service, ngs imagery, noaa, north america, orthophoto, photograph, rectified image, remotely sensed imagery/photography, shoreline, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  Elizabeth River, VA, EC11D07

These data were automated to provide an accurate high-resolution historical shoreline of  Elizabeth River, VA  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, elizabeth river, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, t-sheet, tp-sheet, u.s. department of commerce, united states of america, virginia, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2018-2019 NOAA NGS Topobathy Lidar DEM: Trappe to Toddville, MD

The NOAA Chesapeake Bay MD1804 Option 1 East 4 Topobathymetric lidar data were collected by NV5 Geospatial (NV5) using Riegl VQ-880-G, VQ-880-GII, and VQ-880-GH systems. The NOAA Chesapeake Bay MD1804 Option 1 East 4 acquisition spanned from 20181107-20190417 in 14 missions. The NOAA Chesapeake Bay MD1804 Option 1 East 4 dataset includes topobathymetric data in LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards:
			1 - unclassified
			2 - ground
			7 - noise
			40 - bathymetric bottom or submerged topography
			43 - submerged feature
			45 - water column
			46 - overlap bathymetric bottom
			71 - adjacent lift unclassified
			72 - adjacent lift ground
			85 - adjacent lift water column
			1 Overlap - edge clip 
			This data set also includes lidar intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered NOAA Chesapeake Bay MD1804 Option 1 East 4 project area covers approximately 563.829 square kilometers of an area encompassing a portion of the Chesapeake Bay and the nearby census designated places of Taylors Island, Cambridge, Madison, Woolford, and Algonquin, Maryland. LAS files were compiled in 500 m x 500 m tiles. The final classified lidar data were then transformed from ellipsoid to geoidal height (Geoid12b) and used to create 36 - 5,000 m x 5,000 m topobathymetric DEMs in GeoTIFF format with 1m pixel resolution.

Tags: airplane, bathymetry, bathymetry/seafloor topography, beach, coastal bathymetry, coastal elevation, coastal processes, continent, dem, doc/noaa/nos/ngs, earth science, erosion, land surface, lidar, light detection and ranging, national geodetic survey, national ocean service, ngs lidar, noaa, north america, oceans, sea floor, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  Morro Bay, California, CA35A05

These data were automated to provide an accurate high-resolution historical shoreline of  Morro Bay, California  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: california, coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, morro bay, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, t-sheet, tp-sheet, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Mapping Program of  SOUTH SHORE OF PRIEN LAKE, LA, LA1301A

These data provide an accurate high-resolution shoreline compiled from imagery of  SOUTH SHORE OF PRIEN LAKE, LA .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, louisiana, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, shoreline, shoreline mapping program, south shore of prien lake, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2019 NOAA NGS Topobathy Lidar: Puerto Rico

These data were collected by Leading Edge Geomatics using a Riegl VQ-880-G II sensor.  The data acqusition began January 20, 2019 through June 2, 2019.  The data includes topobathy data in LAS 1.4 format classified as created, never classified (0); unclassified (1); ground (2); noise (7); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43); International Hydrographic Organization S-57 object, not otherwise specified (44); no bottom found (bathymetric lidar point for which no detectable bottom return was received) (45); bathymetic bottom temporal changes (46) in accordance with project specifications.

Tags: airplane, atlantic ocean, bathymetry, bathymetry/seafloor topography, beaches, caribbean sea, coastal bathymetry, coastal elevation, coastal processes, digital elevation/terrain model (dem), doc/noaa/nos/ngs, earth science, land surface, lidar, national geodetic survey, national ocean service, ngs lidar, noaa, north atlantic ocean, ocean, oceans, puerto rico, spectral/engineering, terrain elevation, topography, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2012 NOAA Ortho-rectified Near-Infrared Mosaic of Oregon: Lake Umatilla to Clarkson

This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative.  The source imagery was acquired from 20120912 - 20120913. The images were acquired with an Applanix Digital Sensor System (DSS).  The original images were acquired at a higher resolution than the final ortho-rectified mosaic.

Tags: 20120912, 20120913, aerial, aircraft, cameras, coastal, continent, digital orthophotography, doc/noaa/nos/ngs, earth science, idaho, infrared imagery, infrared wavelengths, mosaic, national geodetic survey, national ocean service, ngs imagery, noaa, north america, oregon, orthophoto, photograph, rectified image, remotely sensed imagery/photography, shoreline, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2013 NOAA Ortho-rectified Mean Low Low Water Near-Infrared Mosaic of New Jersey: Delaware Bay - New Jersey Shoreline

This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative.  The source imagery was acquired from 20130404 - 20130406. The images were acquired with an Applanix Digital Sensor System (DSS).  The original images were acquired at a higher resolution than the final ortho-rectified mosaic.

Tags: 20130404, 20130406, aerial, aircraft, cameras, coastal, continent, digital orthophotography, doc/noaa/nos/ngs, earth science, infrared imagery, infrared wavelengths, mosaic, national geodetic survey, national ocean service, new jersey, ngs imagery, noaa, north america, orthophoto, photograph, rectified image, remotely sensed imagery/photography, shoreline, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Mapping Program of BEHM CANAL SOUTH, AK, AK0601A

These data provide an accurate high-resolution shoreline compiled from imagery of  BEHM CANAL SOUTH, AK .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: alaska, behm canal south, coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Mapping Program of  Gordon Pass and Naples Bay, FL, FL1601A-CM-N

These data provide an accurate high-resolution shoreline compiled from imagery of  Gordon Pass and Naples Bay, FL .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, florida, geographic cell, gordon pass and naples bay, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Mapping Program of  Nassau River, Seymour Point to I-95, FL, FL0903B-CM-N

These data provide an accurate high-resolution shoreline compiled from imagery of  Nassau River, Seymour Point to I-95, FL .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, florida, geographic cell, nassau river, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce