AndreaBozzo/ceres-open-data-index huggingface dataset:
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Saipan 2016

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized a Worldview-2 multispectral scene dated 02-05-2016.

Tags: airplane, c-cap, cameras, cnmi, coastal zone, doc/noaa/nos/ocm, earth observation satellites, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, saipan, u.s. department of commerce, western pacific ocean, worldview 2
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Portland (OR) WFO - Tillamook, Lincoln, and Lane Counties

This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office
for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEMs created for this project were developed using the NOAA
National Weather Service's Weather Forecast Office (WFO) boundaries. Because the WFO boundaries can cover large areas, the WFO DEM was divided
into smaller DEMs to ensure more manageable file sizes.
The Portland (OR) WFO DEM was split into two smaller DEMs. They are divided along county lines and are:
1. Portland (OR) WFO - Tillamook, Lincoln, and Lane Counties
2. Portland (OR) WFO - Clatsop, Columbia, and Multnomah Counties
This metadata record describes the DEM for the Portland (OR) WFO - Tillamook, Lincoln, and Lane Counties. The DEM includes the best available
lidar data known to exist at the time of DEM creation for the coastal areas of Tillamook, Lincoln, and Lane counties, that met project
specifications.
Please note that the Portland WFO boundary extends into Washington state. The Washington portion of the WFO is also available for download
from NOAA OCM as a separate product.
The DEM is derived from LiDAR datasets collected for the Oregon Department of Geology and Mineral Industries (DoGAMI) and the Oregon
Department of Forestry (ODF). LiDAR data for Lane, Lincoln, and Tillamook counties, was collected for DoGAMI and ODF from 2007 through 2009.
Note that the Tillamook Bay area (2007 ODF data) was added to the original 2012 DEM in December 2014. Hydrographic breaklines used in the creation of the
DEM were delineated using LiDAR intensity imagery generated from the DoGAMI and ODF datasets and were also obtained from USACE. The DEMs are
hydro flattened such that water elevations are less than or equal to 0 meters.
The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to
the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 5 meters.

Tags: bathymetry/topography, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, land surface, lane county, lidar, lincoln county, national ocean service, noaa, north america, office of coastal management, oregon, sea level changes, sea level rise, terrain elevation, tillamook county, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Texas North 1

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr.
      
This metadata record describes the Texas North 1 digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Hardin, Jasper, Jefferson, Newton, and Orange Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2018 NRCS Texas - Eastern Texas Lidar
      2. 2018 TNRIS Lidar: Upper Coastal Lidar
      3. 2017 TNRIS Lidar: Jefferson, Liberty, and Chambers
      4. 2016 FEMA Region 6 TX - Neches Basin QL2 Lidar
      
The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Tags: bathymetry/topography, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, hardin county, inundation, jasper county, jefferson county, land surface, lidar, national ocean service, newton county, noaa, north america, office of coastal management, orange county, sea level changes, sea level rise, terrain elevation, texas, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1997 Sacramento Inland Floodplain Lidar

This data set includes data collected in October 1997 over the Sacramento, CA, floodplain.
Laser mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground
elevation and topography. The laser emits laser beams at high frequency and is directed downward at the
earth's surface through a port opening in the bottom of the aircraft's fuselage. The laser system records the
time difference between emission of the laser beam and the reception of the reflected laser signal in the
aircraft. The aircraft travels over the beach at approximately 60 meters per second while surveying from
the low water line to the landward base of the sand dunes.

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: bathymetry/seafloor topography, california, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Lanai, Hawaii

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 14 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Lanai C-CAP data set. The imagery and base classification were included in a multi-step semi-automated change detection process to extract land cover features in the 2011 imagery.

Tags: airplane, c-cap, cameras, central pacific ocean, coastal zone, continent, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, hawaii, hawaiian islands, lanai, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, north america, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, united states of america, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: New York, Metro

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr.
      
      This metadata record describes the New York, Metro digital elevation model (DEM), which is a part of a series
      of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal
      Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Bronx, Kings, Nassau, New York, Queens, Richmond, Rockland, and Westchester Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2014 NGS Coastal Mapping Program Topobathy Lidar: Post-Sandy Atlantic Seaboard
      2. 2014 USGS New York CMGP Sandy Lidar
      3. 2014 Long Island, NY - Sandy Lidar
      4. 2011-2012 New York Coastal Lidar
      5. 2009 New York City Water Lidar - East of Hudson
      
      The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Tags: bathymetry/topography, bronx county, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, kings county, land surface, lidar, nassau county, national ocean service, new york, new york county, noaa, north america, office of coastal management, queens county, richmond county, rockland county, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, westchester county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Maine Submerged Aquatic Vegetation Data 1993-1997 Geodatabase

Maine's eelgrass (SAV) meadows form an important aquatic habitat for the state. These meadows provide shelter for juvenile fish, and invertebrates. In certain locations they also help stabilize unconsolidated sediments and shorelines. Maine's Department of Marine Resources has mapped the SAV habitat for the entire coast using the Coastal Change Analysis Protocol. This mapping was accomplished from aerial photography acquired between 1993 and 1997. The unified coastal SAV data set is a composite of these multiple year data.  The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME).  This system is fully described in "Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02."
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aquatic, benthic, biosphere, biotic component, casco bay, cmecs, coastal, coastal and marine ecological classification standard, coastal maine, continent, doc/noaa/nos/ocm, earth science, ecosystems, eelgrass, englishman bay, environmental monitoring, estuary, frenchman bay, geoform component, habitat, maine, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, penobscot bay, sav, seagrass, spill, substrate component, subtidal, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover Change, Commonwealth of the Northern Mariana Islands (CNMI), Farallon de Pajaros, 2004 - 2016

This data set contains the 2004 and 2016 classifications of Farallon de Pajaros, CNMI and can be used to analyze change. This data set utilized 2 full WorldView2 and Quickbird multispectral scenes and the 2004 high-resolution Farallon de Pajaros C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: 2004, 2016, airplane, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, farallon de pajaros, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Tools, Techniques, and Tactics for Advancing Successful Climate Adaptation - NERRS/NSC(NERRS Science Collaborative)

This project created a web-based toolkit, called Resilience Metrics, designed to complement other climate adaptation planning tools. The toolkit provides a rationale for how monitoring and evaluation support climate adaptation as well as guidance for how to envision adaptation success and then identify, prioritize, and track appropriate indicators and metrics. The Resilience Metrics toolkit represents the culmination of 10 years of work on adaptation process and success, six years of which involved the National Estuarine Research Reserve System. The project increased the capacity and tools for the Reserve system and national, state, and local decision-makers to lead and engage in conversations around climate adaptation. This catalyst project was funded by NOAA through the National Estuarine Research Reserve System Science Collaborative to advance collaborative science. It did not produce any new data.

Tags: ak, biosphere, ca, climate change, climate resilience, doc/noaa/nos/ocm, earth science, ecosystems, estuary, jacques cousteau, kachemak bay, marine ecosystems, me, national ocean service, nerrs, nj, noaa, office of coastal management, saim, tijuana river, training, u.s. department of commerce, wells
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Exploring the Trends, the Science, and the Options of Buffer Management in the Great Bay Watershed - NERRS/NSC(NERRS Science Collaborative)

This project will enhance stakeholder capacity to make informed decisions on the protection and restoration of buffers around the Great Bay Estuary by addressing the following question: What are the options for addressing the challenges to effectively protect and restore buffer zones around New Hampshire's Great Bay? The project will support strategic agency and nonprofit investments; inform strategies for outreach professionals to work with towns on water quality improvement, habitat protection, climate adaptation, and nonpoint source pollution control; and lead to new research questions.

This integrated assessment project was funded by NOAA through the National Estuarine Research Reserve System Science Collaborative to evaluate options for action. It did not produce any new data.

Tags: biosphere, coastal, doc/noaa/nos/ocm, earth science, earth science services, ecosystems, education/outreach, environmental governance/management, fluvial landforms, geomorphic landforms/processes, great bay nerr, human dimensions, land surface, landscape, marine ecosystems, national ocean service, nerrs, nh, noaa, office of coastal management, reclamation/revegetation/restoration, u.s. department of commerce, watershed/drainage basin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Rhode Island based on 2000 Census Block Groups

This data depicts the social vulnerability of Rhode Island census block groups to environmental hazards.  Data were culled primarily from the 2000 Decennial Census.

Tags: census block groups, coastal areas, coastal states, comparative index, continent, demographic, demographics, doc/noaa/nos/ocm, earth science, environmental hazards, hazard mitigation/planning, household income, human dimensions, human settlements, indicators, national ocean service, noaa, north america, office of coastal management, population, population estimates, poverty levels, resilience, rhode island, social behavior, social vulnerability index, socioeconomics, u.s. department of commerce, united states, united states of america, vulnerability, vulnerability levels/index
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Sea Level Rise Data: Mapping Confidence

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://www.coast.noaa.gov/slr

These data depict the mapping confidence of the associated Sea Level Rise inundation data, for the sea level rise amount specified. Areas that have a low degree of confidence, or high uncertainty, represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Areas that have a high degree of confidence, or low uncertainty, represent locations that will be correctly mapped (either as inundated or dry) more than 8 out of 10 times or that there is an 80 percent degree of confidence that these areas are correctly mapped.

Areas mapped as dry (no inundation) with a high confidence or low uncertainty are coded as 0.
Areas mapped as dry or wet with a low confidence or high uncertainty are coded as 1.
Areas mapped as wet (inundation) with a high confidence or low uncertainty are coded as 2.

The NOAA Office for Coastal Management has tentatively adopted an 80 percent rank (as either inundated or not inundated) as the zone of relative confidence. The use of 80 percent has no special significance but is a commonly used rule of thumb measure to describe economic systems (Epstein and Axtell, 1996). In short, the method includes the uncertainty in the lidar derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM model (RMSE). This uncertainty is combined and mapped to show that the inundation depicted in this data is not really a hard line, but rather a zone with greater and lesser chances of getting wet.

For a detailed description of the confidence level and its computation, please see the Mapping Inundation Uncertainty document available at: https://coast.noaa.gov/data/digitalcoast/pdf/mapping-inundation-uncertainty.pdf

Tags: bathymetry/topography, coastal processes, confidence, continent, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, environment, flooding, geomorphic landforms/processes, inundation, land surface, national ocean service, noaa, north america, oceans, office of coastal management, sea level changes, sea level rise, shoreline, terrain elevation, topography, u.s. department of commerce, uncertainty, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Florida, Panhandle East

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr.
      
      This metadata record describes the Florida Panhandle, East digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Washington, Bay, Calhoun, Gulf, Liberty, Franklin, Leon, Wakulla, and Jefferson Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2017 NWFWMD Escambia and Santa Rosa FL Lidar
      2. 2017 NWFWMD Lower Choctawhatchee Lidar
      3. 2018 USGS Panhandle FL Lidar
      4. 2018 Leon County
      5. 2008 NWFWMD Lidar: Walton County (Eglin AFB)
      6. 2007 FDEM Coastal Lidar: Coastal Okaloosa County
      7. 2008 NWFWMD Lidar: Inland Okaloosa County
      8. 2006 NWFWMD Lidar: Escambia, Santa Rosa, and Walton Counties

      
      The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Tags: airplane, bathymetry/topography, bay county, calhoun county, coastal elevation, coastal processes, continent, dem, digital elevation model, doc/noaa/nos/ocm, earth science, elevation, flooding, florida, franklin county, gulf county, inundation, jefferson county, land surface, leon county, liberty county, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, vertical location, wakulla county, washington county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce