AndreaBozzo/ceres-open-data-index huggingface dataset:
2015-2017 C-CAP Derived 30 meter Impervious Surface Land Cover - BETA

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats. The timeframe for this data is 2015, 2016, or 2017 (depending on the exact date of imagery used). These maps are developed through the automated classification of high resolution National Agriculture Imagery Program (NAIP) imagery, available Lidar digital elevation data, and assorted ancillary information. 

While produced as part of the Coastal Change Analysis Program (C-CAP), these products should not be compared directly to past dates of 30-meter C-CAP to identify change, as there will be vast differences caused by the different methods and the classes mapped.

These data should be considered to be BETA-level or draft products. They are based on 1-meter land cover mapping that were entirely automated and the relationship of those data to existing wetlands data. As such, there may be issues that result from the different vintages of these products, as well as the errors included in each. While not perfect, the data should provide an example of what level of detail would be possible through such higher-resolution mapping.

These data are not jurisdictional or intended for use in litigation. NOAA does not assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Tags: airplane, c-cap, cameras, coastal zone, doc/noaa/nos/ocm, earth science, impervious surface, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, office of coastal management, remotely sensed imagery/photos, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Quantifying Nutrient Retention by Lake Erie Coastal Wetlands - NERRS/NSC(NERRS Science Collaborative)

This project addressed key information gaps identified by land managers, regulators, and conservation groups involved in coastal wetland restoration and management efforts around Lake Erie. Capitalizing on the unique long-term water quality monitoring record at Old Woman Creek Reserve in Ohio, the project developed a unique analytic approach â a Bayesian hierarchical model â to quantify the long-term capacity for riverine Lake Erie coastal wetlands to retain phosphorus. The team developed a series of technical tools, including a monitoring protocol and freely available statistical code, to enable others to repeat their analysis and calculate the retention capacity of their own wetlands.

Tags: biosphere, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuary, marine ecosystems, national ocean service, nerrs, noaa, north america, office of coastal management, oh, ohio, old woman creek nerr, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: North Carolina, Northern

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 North Carolina, Northern 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 Camden, Chowan, Currituck, Gates, Pasquotank, and Perquimans 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 NC Statewide Lidar - Phase 1
      
      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, camden county, chowan county, coastal processes, continent, currituck county, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, gates county, geomorphic landforms/processes, inundation, land surface, lidar, national ocean service, noaa, north america, north carolina, office of coastal management, pasquotank county, perquimans county, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitat Mapping - Indian River Lagoon, Florida Submerged Aquatic Vegetation (SAV) Data 1996 Geodatabase

The NOAA Office for Coastal Management's Coastal Change Analysis Program, in cooperation with the St. Johns River and South Florida Water Management Districts, used the C-CAP protocol to map SAV and other benthic habitat in Indian River. The project incorporated underwater videography, field point observations, and transect data. Analytical photogrammetry was used to accomplish the mapping. 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: algae, banana river, benthic, biosphere, biotic component, cape canaveral, change, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, florida, geoform component, hobe sound, indian river lagoon, jupiter sound, marine ecosystems, mosquito lagoon, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, photogrammetry, sav, seagrass, substrate component, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Virginia based on 2000 Census Block Groups

This data depicts the social vulnerability of Virginia 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, social behavior, social vulnerability index, socioeconomics, u.s. department of commerce, united states, united states of america, virginia, vulnerability, vulnerability levels/index
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic grab data from June 1995 in the inland bays of New York/New Jersey Harbor

Benthic grab samples were collected using a Shipek grab at pre-determined locations in the harbor. Taxonomic enumerations and biological community parameters were estimated from grab samples and used to assess habitat conditions in conjunction with sediment profile images taken at the same stations. All data were entered into a database, and habitat classes were defined for each station. The database was then used in a Geographic Information System (GIS) to characterize benthic habitat types for New York/New Jersey Harbor.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic grab, benthic habitat, benthic mapping, biosphere, bowery bay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, flushing bay, geographic information system, gis, jamaica bay, marine ecosystems, national ocean service, new york, new york harbor, newark bay, noaa, north america, northeastern u. s., ocm benthic habitat mapping, office of coastal management, u.s. department of commerce, united states of america, upper bay
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Maryland, Southwest

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 Maryland, Southwest 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 Charles and St. Mary's Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2014 USGS Hurricane Sandy Supplemental for National Capital Region (NCR)
      
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, charles 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, land surface, lidar, maryland, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, st. mary's county, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Erie County, Ohio, 2015

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats. The timeframe for this metadata is summer 2016. These maps are developed utilizing high resolution National Agriculture Imagery Program (NAIP) imagery, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions. NOAA C-CAP is a contributing member to the Multi-Resolution Land Characteristics consortium and C-CAP products are included as the coastal expression of land cover within the National Land Cover Database.

Tags: airplane, c-cap, cameras, coastal zone, doc/noaa/nos/ocm, earth science, erie county, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, office of coastal management, oh, ohio, remotely sensed imagery/photos, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Kauai, 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 35 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Kauai 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 2010 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, kauai, 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
2010 C-CAP Derived 30 meter Impervious Surface Land Cover - BETA

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats. The timeframe for this data is 2010. These maps are developed through the automated classification of high resolution National Agriculture Imagery Program (NAIP) imagery, available Lidar digital elevation data, and assorted ancillary information. 

While produced as part of the Coastal Change Analysis Program (C-CAP), these products should not be compared directly to past dates of 30-meter C-CAP to identify change, as there will be vast differences caused by the different methods and the classes mapped.

These data should be considered to be BETA-level or draft products. They are based on 1-meter land cover mapping that were entirely automated and the relationship of those data to existing wetlands data. As such, there may be issues that result from the different vintages of these products, as well as the errors included in each. While not perfect, the data should provide an example of what level of detail would be possible through such higher-resolution mapping.

These data are not jurisdictional or intended for use in litigation. NOAA does not assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Tags: airplane, c-cap, cameras, coastal zone, doc/noaa/nos/ocm, earth science, impervious surface, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, office of coastal management, remotely sensed imagery/photos, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2000 Puerto Rico USGS/NASA Airborne Lidar Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected in December, 2000, and covers coastline in Puerto Rico.
Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground
elevation and coastal 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. The ATM system is a single return green laser and water returns are from the surface. A significant amount of the flight lines from this data set are over water.

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

Tags: atlantic ocean, bathymetry/seafloor topography, beach, caribbean sea, coastal elevation, coastal processes, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, national ocean service, noaa, north atlantic ocean, ocean, oceans, office of coastal management, puerto rico, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Exploring Applications of Ecosystem Service Conceptual Models for Coastal Habitats - NERRS/NSC(NERRS Science Collaborative)

People receive numerous benefits from nature, such as water purification, coastal protection, and food production. These ecosystem services are an increasingly important consideration for coastal managers as they design management interventions to protect coastal habitat. This includes National Estuarine Research Reserve managers, who are working to better understand ecosystem services across the reserve system. However, without a standardized approach it has been difficult for coastal managers to consistently incorporate ecosystem services into programs or projects. In response to this need, researchers with Duke Universityâs National Ecosystem Services Partnership developed Ecosystem Services Conceptual Models (ESCMs) for estuarine habitats that diagram the way a management intervention cascades through an ecological system and provides benefits to people. The Duke team built on previous work that created an ecosystem services modeling approach for salt marsh. In partnership with the Rookery Bay and North Carolina National Estuarine Research Reserves and their stakeholders, the team led a series of workshops to produce site-specific and generalized Ecosystem Services Conceptual Models for mangrove and oyster habitat restoration in the southeast United States. 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: biosphere, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuary, fl, florida, marine ecosystems, national ocean service, nc, nerrs, noaa, north america, north carolina, north carolina nerr, office of coastal management, rookery bay nerr, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2020 C-CAP Land Cover of the Houston, Texas Region

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats through time. The timeframe for this metadata is summer 2020. These maps are developed utilizing high resolution aerial imagery, along with lidar and various available ancillary information, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions.

Tags: 2020, airplane, brazoria county, c-cap, calhoun county, cameras, ccap, chambers county, coastal zone, doc/noaa/nos/ocm, earth science, fort bend county, galveston county, harris county, houston, impervious, jefferson county, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, liberty county, matagorda county, montgomery county, national ocean service, noaa, office of coastal management, remotely sensed imagery/photos, tx, u.s. department of commerce, waller county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Portland WFO (WA)

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 DEM includes best available lidar data known to exist at the time of DEM creation that meets project specifications for those counties in the state of Washington that fall within the boundary of the Portland, OR Weather Forecast Office (WFO), as defined by the NOAA National Weather Service. The DEM is derived from multiple LiDAR datasets collected between 2002 and 2010 for NOAA, the United States Army Corps of Engineers (USACE) and the United States Geological Survey (USGS). The extent of the DEM includes portions of Pacific, Wahkiakum, Cowlitz, Clark and Skamania counties. Hydrographic breaklines used in the creation of the DEM were either delineated using LiDAR intensity imagery or 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, clark county, coastal processes, continent, cowlitz county, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, land surface, lidar, national ocean service, noaa, north america, office of coastal management, pacific county, sea level changes, sea level rise, skamania county, terrain elevation, topography, u.s. department of commerce, united states of america, us, wahkiakum county, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce