AndreaBozzo/ceres-open-data-index huggingface dataset:
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Saipan 2005

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 1 full Quickbird multispectral scene upto 4 additional scenes were used to replace cloud obscured areas within the base imagery both scenes were processed to detect C-CAP land cover features on Tinian, CNMI.

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, quickbird, remotely sensed imagery/photos, saipan, u.s. department of commerce, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Watershed Planning Across Boundaries in New Hampshire - NERRS/NSC(NERRS Science Collaborative)

Population growth in New Hampshireâs coastal communities is straining municipal stormwater and wastewater infrastructure and placing water quality and public health at risk. At the same time, communities are being called on to respond to new, more stringent permit requirements for discharging stormwater and wastewater from treatment plants.

Tags: biosphere, doc/noaa/nos/ocm, earth science, ecosystems, estuary, great bay, infrastructure, marine ecosystems, national ocean service, nerrs, nh, nitrogen, noaa, office of coastal management, planning, stormwater, u.s. department of commerce, wastewater, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Maryland, West

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, West 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 Anne Arundel, Baltimore, Calvert, Howard, and Prince George's Counties and Baltimore City.
      
      The DEM was produced from the following lidar data sets:
      1. 2011 Anne Arundel County, MD Lidar
      2. 2015 Sandy Supplemental MD/PA QL2 Lidar (Baltimore City)
      3. 2015 Baltimore County, MD Lidar
      4. 2011 Calvert County, MD Lidar
      5. 2011 Howard County, MD Lidar
      6. 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: anne arundel county, baltimore city, baltimore county, bathymetry/topography, calvert county, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, howard county, inundation, land surface, lidar, maryland, national ocean service, noaa, north america, office of coastal management, prince george's 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
2021 Hamlin Lake, MI Natural Color, Color Infrared and Hyperspectral Imagery

Wild rice (Zizania palustris and Zizania aquatica), also known as manoomin, plays an integral role in the wetland ecosystems of the Great Lakes and is central to the culture, identity, and livelihood of Indigenous Peoples throughout the region. As manoomin faces increasing threats from climate change, land use change, pollution, invasive species, and other stressors, efforts are underway to protect and restore wild rice populations and habitat.

To support these efforts and help improve mapping and monitoring of wild rice in the Lake Michigan and Lake Huron basins, NOAA's Office for Coastal Management, in collaboration with tribal partners, identified twelve areas of interest (AOI) as pilot sites for airborne hyperspectral imagery and field data collection, which took place in August and September 2021.

In total, airborne hyperspectral imagery (with derived natural color and color infrared) was acquired for 43,493 acres. This imagery, in conjunction with field data and place-based knowledge and expertise of tribal partners, was used to help delineate ~13,775 acres of vegetated wetlands, including ~790 acres of wild rice. 

AOI/Pilot Sites

1. Christiana Creek, MI

2. Fletcher Pond, MI

3. Flowerfield Creek, MI

4. French Farm Lake, MI* 

5. Hamlin Lake, MI

6. Indiana Dunes, IN

7. Manistee River, MI

8. Miller Woods, IN

9. Nottawa Creek, MI

10. Potagannissing, MI

11. Rocky Creek, MI

12. Tawas Lake, MI

*To request imagery and associated vector and field data for this site, please contact:
Jon Mauchmar
Wildlife Technician
Little Traverse Bay Bands of Odawa Indians
Natural Resources Department - Inland Fish & Wildlife Program
Office: 231-242-1670
jmauchmar@ltbbodawa-nsn.gov

Tags: airplane, cameras, color infrared, doc/noaa/nos/ocm, earth science, glri, great lakes restoration initiative, hamlin lake, hyperspectral, imagery, infrared imagery, infrared wavelengths, mi, michigan, national ocean service, natural color, noaa, office of coastal management, orthoimage, rectified image, spectral/engineering, u.s. department of commerce, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Massachusetts, 2016

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, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, ma, massachusetts, national ocean service, noaa, north america, ocean, office of coastal management, remotely sensed imagery/photos, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Delaware based on 2000 Census Block Groups

This data depicts the social vulnerability of Delaware 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, delaware, 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, vulnerability, vulnerability levels/index
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitat Mapping - Indian River Lagoon, Florida Submerged Aquatic Vegetation (SAV) Data 1996 Biotic

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, 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, 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: Texas South 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 South 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 Calhoun, Jackson, Matagorda, and Victoria Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2018 Texas - South Texas 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: aransas county, 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, lidar, national ocean service, noaa, north america, nueces county, office of coastal management, refugio county, san patricio 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
Humboldt Bay, California Benthic Habitats 2009 Geoform

Humboldt Bay is the largest estuary in California north of San Francisco Bay and represents a significant resource for the
      north coast region.  Beginning in 2007 the Office for Coastal Management began collaborating with the California SeaGrant program and
      other local partners to support an ecosystem-based management (EBM) project for Humboldt Bay.  One element of this project was to
      develop subtidal habitat goals for the long-term management of the bay and provide a framework for conservation and management across
      the land-sea interface. The imagery collection and benthic habitat delineation for Humboldt Bay were essential to the development of
      subtidal goals and implementation of EBM for the region. Together, these efforts will provide important and replicable data and an
      information framework for ecosystem-based coastal and marine conservation planning and implementation. 12 Bit 4 Band imagery was
      collected in June,2009 within 1 hour of either side of a minus one (-1) foot tide with low turbidity,low wind,low sun angle and no cloud cover. The horizontal spatial accuracy of the imagery is within +/- 3 meters CE95 of position on the ground and was captured at a spatial resolution (pixel size) of 0.54m x 0.54m. The imagery was tiled and named according to the existing USGS digital ortho quarter quad boundaries (ex. Arcata_South_NE.tif). A small buffer (~100 m) was produced with each tile to prevent gaps in coverage. Habitat features were interpreted and digitized on screen in an ARCGIS Geodatabase 9.3 resulting in accurate and efficient 3D extraction of the data. Habitats were delineated with a high level of detail with the minimum mapping unit (MMU) being 0.01 hectares(approx.10m x 10m).
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: arcata bay, benthic, biosphere, california, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, eel river delta, entrance bay, environmental monitoring, estuary, geoform component, habitat, humboldt bay, marine ecosystems, national ocean service, noaa, north america, office of coastal management, south bay, u.s., u.s. department of commerce, uc sea grant, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Sarigan, 2015

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 02-05-2015.

Tags: 2015, airplane, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, 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, sarigan, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Pennsylvania based on 2000 Census Block Groups

This data depicts the social vulnerability of Pennsylvania 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, pennsylvania, population, population estimates, poverty levels, resilience, 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
C-CAP Land Cover, United States Virgin Islands, St. John, 2012

This data set consists of land cover 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 CIR imagery captured from a Z/I Imaging DMC-II 230 (2012 flights) digital sensor. The land cover is based on the 2007 high resolution St. John C-CAP dataset. Changes were identified using aerial photo interpretation of the 2007 dataset against the 2012 imagery.

Tags: airplane, atlantic ocean, c-cap, cameras, caribbean sea, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, north atlantic ocean, ocean, office of coastal management, remotely sensed imagery/photos, st. john, u.s. department of commerce, united states virgin islands, virgin islands, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Tracking Nitrogen Pollution in New Hampshire's Great Bay - NERRS/NSC(NERRS Science Collaborative)

Stretching 15 miles inland, New Hampshireâs Great Bay cuts through the heart of one of the stateâs most densely populated regions. Nitrogen concentrations in the bay have increased significantly, in part due to nonpoint sources of pollution such as poorly functioning septic systems and stormwater runoff. There is concern that this pollution will help usher Great Bay toward an ecological tipping point that, once crossed, will make recovery extremely challenging and costly.

Tags: biosphere, doc/noaa/nos/ocm, earth science, ecosystems, estuary, great bay, marine ecosystems, national ocean service, nerrs, nh, nitrogen, noaa, nonpoint source pollution, nutrient pollution, office of coastal management, u.s. department of commerce, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: San Francisco Bay/Monterey (CA) WFO - Sonoma, Marin, Napa, and Solano 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 San Francisco Bay/Monterey (CA) WFO DEM was split into three smaller DEMs. They are divided along county lines and are: 1. San Francisco Bay/Monterey (CA) WFO - Santa Cruz and Monterey Counties 2. San Francisco Bay/Monterey (CA) WFO - Contra Costa, San Francisco, Alameda, San Mateo, and Santa Clara Counties 3. San Francisco Bay/Monterey (CA) WFO - Sonoma, Marin, Napa, and Solano Counties  This metadata record describes the DEM for the San Francisco Bay/Monterey (CA) WFO - Sonoma, Marin, Napa, and Solano Counties. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Sonoma, Marin, Napa, and Solano Counties, that met project specifications.  The DEM is derived from LiDAR data collected for the California Coastal Conservancy, NOAA and the United States Geological Survey between 2009 and 2011. Hydrographic breaklines used in the creation of the DEM were obtained from the California Coastal Conservancy, NOAA or the USGS. 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, california, 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, marin county, napa county, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, solano county, sonoma county, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
CRED REA Fish Team Belt Transect Surveys at Midway Atoll, 2003

Belt transects along 3 consecutively-placed, 25m transect lines were surveyed as part of Rapid Ecological Assessments conducted at 9 sites at Midway Atoll in July, 2003 from the NOAA vessel Oscar Elton Sette (OES03-06). Raw survey data included species level abundance estimates.

Tags: 1221, belt transect, biology, biosphere, central pacific ocean, corals, coris_metadata, country/territory, earth science, fishes, hawaii, honolulu, midway atoll (28n177w0001), northwestern hawaiian islands, numeric data sets, nwhi, ocean basin, oes0306, pacific ocean, pacific reef assessment and monitoring program (pacific ramp): biennial monitoring for the u.s. paci, reef fish census, reef monitoring and assessment, united states of america, zoology
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for North Carolina based on 2000 Census Block Groups

This data depicts the social vulnerability of North Carolina 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, north carolina, 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, vulnerability, vulnerability levels/index
Organization: National Oceanic and Atmospheric Administration, Department of Commerce