AndreaBozzo/ceres-open-data-index huggingface dataset:
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Sarigan, 2004

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 1 additional scene was used to replace cloud obscured areas within the base imagery both scenes were processed to detect C-CAP land cover features on Sarigan, CNMI.

Tags: 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 Texas based on 2000 Census Block Groups

This data depicts the social vulnerability of Texas 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, texas, u.s. department of commerce, united states, united states of america, vulnerability, vulnerability levels/index
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
AIS Vessel Tracks 2021

A vessel track shows the location and characteristics of commercial and recreational boats as a sequence of positions transmitted by an Automatic Identification System (AIS). AIS signals are susceptible to interference and this can result in a gap within a vessel track. The distribution, type, and frequency of vessel tracks are a useful aid to understanding the risk of conflicting uses within a certain geographic area. The vessel track positions in this data set are collected and recorded from land-based antennas as part of a national network operated by the U.S. Coast Guard.

Tags: ais, coastal, doc/noaa/nos/ocm, exclusive economic zone, national ocean service, noaa, office of coastal management, outer continental shelf, planning, renewable energy, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2016 Oconee County, Georgia ADS100 4-Band 8 Bit Imagery

This data set consists of 0.5-foot pixel resolution, natural color orthoimages covering Oconee County, Georgia.  An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map.  Each orthoimage provides imagery over a 2,500-foot by 2,500-foot block on the ground. There is no image overlap between adjacent files. The projected coordinate system is Georgia State Plane West (FIPS 1002) feet with a NAD83 datum.

Tags: 0.5 foot orthoimage, 6 inch orthoimage, airplane, cameras, continent, doc/noaa/nos/ocm, earth science, ga, georgia, image map, imagery, infrared imagery, infrared wavelengths, national ocean service, natural color orthophoto, noaa, north america, office of coastal management, orthoimage, orthophoto, rectified image, rectified photograph, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 C-CAP Land Cover, Territory  of  American Samoa,  Swains

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 or partial 2010 WorldView2 multispectral scene and the 2002 high-resolution Swains, American Samoa C-CAP data set. The imagery and base classification were included in a multi-step change detection process to extract land cover features in the 2010 imagery.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, 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, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, swains, u.s. department of commerce, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Aransas Bay 2004 Geodatabase

In 2006 and 2007 the NOAA Office for Coastal Management purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays. The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A and M University Center for Coastal Studies to develop benthic habitat data, primarily Submerged Aquatic Vegetation (SAV) for several coastal bays.  This data will support the state's recently adopted Seagrass Monitoring Program which calls for regional mapping of SAV for status and trends assessment.  The Center, Texas A and M, and TPWD have coordinated on the requirements of this project.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitat, biosphere, biotic component, cmecs, coastal, coastal and marine ecological classification standard, continent, digital map, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geoform component, habitat classification, marine ecosystems, national ocean service, noaa, north america, office of coastal management, seagrass, submerged aquatic vegetation, substrate component, texas, texas seagrass monitoring program, tx, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Georgia based on 2000 Census Block Groups

This data depicts the social vulnerability of Georgia 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, georgia, 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
Coastal Bend Texas Benthic Habitat Mapping Patchy Shapefile Map

In 2006 and 2007 the NOAA Office for Coastal Management purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays. The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A and M University Center for Coastal Studies to develop benthic habitat data, primarily Submerged Aquatic Vegetation (SAV) for several coastal bays.  This data will support the state's recently adopted Seagrass Monitoring Program which calls for regional mapping of SAV for status and trends assessment.  The Center, Texas A and M, and TPWD have coordinated on the requirements of this project.
Original contact information: 
   Contact Name: Harold Rempel
   Contact Org: Fugro EarthData, Inc.
   Title: Director of Program Management
   Phone: 301-948-8550
   Email: hrempel@earthdata.com

Tags: benthic, benthic habitat, biosphere, coastal, continent, digital map, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, habitat classification, marine ecosystems, national ocean service, noaa, north america, office of coastal management, seagrass, submerged aquatic vegetation, texas, texas seagrass monitoring program, tx, 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: Channel Islands, CA

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 (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: http://www.coast.noaa.gov/slr  This metadata record describes the Channel Islands, CA 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 for the Channel Islands, CA. This includes the islands of Anacapa, Santa Barbara, San Miguel, Santa Rosa, and Santa Cruz. The DEM was produced from LiDAR acquired by the U.S. Geological Survey (USGS) in 2010 for the Channel Islands. See Supplemental Information for additional information about this data set.  Hydrographic breaklines were derived from LiDAR intensity imagery using intensity raster stereo models. The final DEM is hydro flattened such that water elevations are less than or equal to -1 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: anacapa island, bathymetry/topography, california, channel islands, 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, office of coastal management, offshore los angeles, san miguel island, santa barbara island, santa cruz island, santa rosa island, 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
Great Lakes Hardened Shorelines Classification 2019

This dataset contains baseline hardened shoreline classification vector feature datasets for the United States Great Lakes shoreline.

Tags: coastal landforms, coastal processes, continent, doc/noaa/nos/ocm, earth science, geomorphic landforms/processes, great lakes, greatlakesregion, human dimensions, infrastructure, lake erie, lake huron, lake michigan, lake ontario, lake st. clair, lake superior, land surface, national ocean service, noaa, north america, oceans, office of coastal management, shorelines, u.s. department of commerce, united states
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Tropical Cyclone Storm Segments

The patterns and variability of hurricane tracks are an important indicator for scientists and emergency managers to assess risk and build resilience among coastal communities. The most complete archive of tracks is the International Best Track Archive for Climate Stewardship (IBTrACS), which was developed by the World Meteorological Organization, NOAA, and many others.  A subset of North Atlantic and North Pacific records from 1988 to 2022 was extracted from the IBTrACS and amended with storm category values to generate this data product.

Tags: continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, extratropical storm, hawaii, human dimensions, hurricane, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, puerto rico, territorial sea, tropical cyclone, tropical storm, u.s. department of commerce, u.s. virgin islands, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2021 Indiana Dunes, IN 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, hyperspectral, imagery, in, indiana, indiana dunes, infrared imagery, infrared wavelengths, 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
2018 - 2020 NOAA USGS Lidar: Hawaii, HI

Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format.
Geographic Extent: Approximately 4,028 square miles encompassing the Big Island of Hawaii.
Dataset Description: The HI Hawaii Island Lidar NOAA 2017 B17 lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2020 Revision A. The data was developed based on a horizontal datum/projection of NAD83 (PA11) UTM Zone 5N Meters (EPSG 6635) and a vertical datum of NAVD88 (GEOID12B) Meters. Lidar data was delivered as processed LAS 1.4 files formatted to 8,629 individual 1,000-meter x 1,000-meter tiles.
Ground Conditions: Lidar was collected from January 30, 2018 through January 6, 2020 by Leica Geosystems, Inc. while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 70 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected by NOAA and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
This dataset has been noted to have issues with ground classification in areas of dense vegetation. Please read the data use constraints section for further details.

Tags: airplane, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, hawaii, hawaii county, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic grab data from October 1994 in the Lower Bay 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, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information system, gis, lower bay, marine ecosystems, national ocean service, new jersey, new york, new york harbor, noaa, north america, northeastern u. s., ocm benthic habitat mapping, office of coastal management, raritan bay, sandy hook bay, 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: Louisiana Lake Pontchartrain

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 Louisiana Lake Pontchartrain 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 Ascension, East Baton Rouge, Iberville, Jefferson, Livingston, Orleans, St. Charles, St. James, St. John the Baptist, St. Tammany, Tangipahoa, and West Feliciana Parishes.
      
The DEM was produced from the following lidar data sets:
      1. 2017 Upper Delta Plain LA Lidar
      2. 2006 LA Statewide 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: ascension parish, bathymetry/topography, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, east baton rouge parish, elevation, flooding, geomorphic landforms/processes, iberville parish, inundation, jefferson parish, land surface, lidar, livingston parish, louisiana, national ocean service, noaa, north america, office of coastal management, orleans parish, sea level changes, sea level rise, st. charles parish, st. james parish, st. john the baptist parish, st. tammany parish, tangipahoa parish, terrain elevation, topography, u.s. department of commerce, united states of america, west feliciana parish
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Salt Marsh Habitats, New Hampshire, 2013

This data set consists of salt marsh habitats for the state of New Hampshire derived from high resolution (1ft) imagery collected on August 24, 2013. This data set relied on 4 Band multispectral aerial orthoimagery acquired by the Piscataqua Region Estuaries Partnership and LiDAR data collected through the LiDAR for the NorthEast project (2011).

Tags: airplane, biota, c-cap, cameras, coastal zone, doc/noaa/nos/ocm, earth science, land surface, land use/land cover, land use/land cover classification, national ocean service, new hampshire, nh, noaa, north america, ocean, office of coastal management, remotely sensed imagery/photos, salt marsh, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 C-CAP Land Cover, Territory  of  American Samoa,  Tutuila

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 24 full or partial 2010 WorldView2 multispectral scenes and the 2003 high-resolution Tutuila, American Samoa C-CAP data set. The imagery and base classification were included in a multi-step change detection process to extract land cover features in the 2010 imagery.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, 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, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, tutuila, u.s. department of commerce, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce