AndreaBozzo/ceres-open-data-index huggingface dataset:
East Coast AIS Vessel Tracks 2011

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal planning purposes. NOAA and BOEM have worked jointly to re-task and make available some of the most important records from the U.S. Coast Guards national network of AIS receivers. Information such as location, time, ship type, length, width, and draft have been extracted from the raw data and prepared as track lines for analyses in desktop GIS software.

Tags: 2011, ais, atlantic ocean, continent, doc/noaa/nos/ocm, earth science, east coast, environmental governance/management, human dimensions, national ocean service, noaa, north america, office of coastal management, track lines, u.s. department of commerce, united states, united states of america, vessel traffic
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
East Coast AIS Vessel Tracks 2013

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal planning purposes. NOAA and BOEM have worked jointly to re-task and make available some of the most important records from the U.S. Coast Guard's national network of AIS receivers. Information such as location, time, ship type, length, width, and draft have been extracted from the raw data and prepared as track lines for analyses in desktop GIS software.

Tags: ais, continent, doc/noaa/nos/ocm, earth science, east coast, environmental governance/management, human dimensions, marine transportation, national ocean service, noaa, north america, office of coastal management, track lines, u.s. department of commerce, united states, united states of america, vessel traffic
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2013 Athens-Clarke County, Georgia Imagery

This data set consists of 0.5 foot pixel resolution, four band (RGB, Near IR) orthoimages covering Athens-Clarke 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.  The design accuracy is estimated not to exceed +/- 2.5 feet CE95 of  the position on the ground.  Each orthoimage provides imagery over a 5,000-foot by 5,000-foot block on the ground. There is no image overlap between adjacent files. The projected coordinate system is State Plane GA West (FIPS 1002) with a NAD83 Datum and units are a US Foot. The Athens-Clarke County's and Statewide Georgia tiling schemas was used.

Tags: 0.5 foot orthoimage, airplane, cameras, continent, doc/noaa/nos/ocm, earth science, four-band orthophoto, georgia, image map, imagery, infrared imagery, infrared wavelengths, national ocean service, noaa, north america, office of coastal management, orthoimage, orthophoto, rectified image, rectified photograph, remotely sensed imagery/photos, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2020-2023 CCAP Version 2 Impervious Cover

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 2020 through 2023, depending on the latest date of available imagery. These maps were developed for NOAA by Ecopia (ecopiatech.com) utilizing high resolution 30cm or better aerial imagery. In addition, a digital surface model (DSM) derived from the stereo imagery was used to determine vegetation heights. This information provides managers with a detailed accounting of current landscape conditions related to impervious surface, woody canopy, and water feature extents.

Tags: 2020, 2021, 2022, 2023, airplane, c-cap, cameras, ccap, coastal states, coastal zone, doc/noaa/nos/ocm, earth science, impervious, 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
2021 Potagannissing, 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, hyperspectral, imagery, infrared imagery, infrared wavelengths, mi, michigan, national ocean service, natural color, noaa, office of coastal management, orthoimage, potagannissing, rectified image, spectral/engineering, u.s. department of commerce, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Redfish Bay 2004 Substrate

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, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuary, habitat classification, marine ecosystems, national ocean service, noaa, north america, office of coastal management, remotely sensed imagery/photos, 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
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Washington, Southwest Puget Sound

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 Washington, Southwest Puget Sound 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 King, Pierce, and Thurston Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2016 King County, WA Lidar
      2. 2016 West Washington Lidar
      3. 2010-2011 USGS ARRA Lidar: Pierce County
      
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, inundation, king county, land surface, lidar, national ocean service, noaa, north america, office of coastal management, pierce county, sea level changes, sea level rise, terrain elevation, thurston county, topography, u.s. department of commerce, united states of america, us, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitats of Florida Bay, FL 1991-1995 Geodatabase

In the winter of 1991/92 the National Oceanic and Atmospheric Administration's Office for Coastal Management's Coastal Change Analysis Program (C-CAP) and the State of Florida commissioned the National Ocean Service's Photogrammetry Unit, the National Geodetic Survey (NGS), to acquire conventional color metric aerial photography of Florida Bay suitable for interpretation of photic benthic habitats (scale of 1:48,000). Additional photography was acquired by NGS in 1995 to cover areas of the bay that were not interpretable due to turbidity and glare during the original mission. The imagery was collected according to stringent parameters detailed in the C-CAP protocol (https://coast.noaa.gov/crs/lca/ccap.html). The original photographic diapositives were interpreted by two ecologists, familiar with the local environment.  The benthic signatures were interpreted from the photography using Bausch and Lomb Zoom Stereoscopes and Richards Light Tables.  The boundaries of each unique signature were delineated on acetate overlays and assigned one of 20 habitat classes. Only the central 'sweet spot' of each frame was interpreted to minimize the effects of sun glint. An ecologist at the Florida Marine Research Institute (FMRI) conducted thematic quality assurance and control. Following interpretation, Office for Coastal Management staff scanned the aerial photos, with the interpreted acetate overlays attached, using a photogrammetric quality scanner (AGFA Horizon Plus) at a resolution of 600 dpi resulting in a pixel resolution of 2.03 meters.  The resulting image file was rectified (second order bilinear interpolation) using ERDAS Imagine software. Ground control points were selected from features common to digital orthophotoquads of Florida Bay. The interpreted polygon habitats were digitized into an ARC coverage from the rectified files using ERDAS Imagine software's vector module. In 1999, the final edits and quality control of the habitat polygons were completed. The coverage and shoreline were edge matched to the Benthic Habitats of the Florida Keys Atlas to complete the coverage, as the dates of photography, methodology and classification system used were the same.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitats, biosphere, biotic component, cmecs, coastal, coastal and marine ecological classification standard, continent, corals, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, field verification, florida, florida bay, geoform component, image rectification, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, photo-interpretation, seagrass, submerged aquatic vegetation, substrate component, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Marine National Monuments

A marine national monument is a type of protected area that is designated by a presidential proclamation under the Antiquities Act. Marine national monuments are managed via a partnership between the U.S. Fish and Wildlife Service, the National Oceanic and Atmospheric Administration and local governments. Currently, there are four marine national monuments in the Pacific Ocean and one in the Atlantic Ocean.

Tags: coastal, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, human dimensions, marinecadastre, national ocean service, noaa, north america, 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
2014 Mitchell County, GA DMC 4-Band 8 Bit Imagery

This data set consists of one-foot pixel resolution, natural color orthoimages covering the urban area footprint.  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 5000-foot by 5000-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: 12 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
C-CAP Land Cover, United States Virgin Islands, St Thomas, 2007

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 32
three-band ADS40 scenes. These full scenes were not sufficient to replace cloud obscured areas within the base imagery. Additional imagery was used for classifying obsucred areas.  All scenes were processed to detect C-CAP land cover features on St Thomas, U.S. Virgin Islands.

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 thomas, u.s. department of commerce, virgin islands, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sediment grab data from October 1994 in the Lower Bay of New York/New Jersey Harbor

Sediment grab samples were collected using a Shipek grab at pre-determined locations in the harbor. Grain size distributions and organic content were measured and used to assess sediment conditions in New York/New Jersey Harbor and to compare with sediment profile images taken at the same stations. All data were entered into a database, and the database was then used in a Geographic Information System (GIS) to characterize sediment environment in 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, 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, sediment, sediment grab, sediment organics, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2014 NOAA Post-Sandy Topobathymetric Lidar: Void DEMs Rhode Island

These lidar data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 20140717 - 20140809 in twenty two missions. The missions flown on 20140718, 20140719, 20140720, 20140721, 20140722, 20140723, 20140724, 20140725, 20140731, 20140806, and 20140807 represent the Low Water missions and the missions flown on 20140717, 20140718, 20140719, 20140722, 20140723, 20140725, 20140731, 20140801, 20140807, 20140808, and 20140809 represent the High Water (everything outside of MLLW tidal requirements) missions. The data includes topobathy data with points classified by target type (e.g. ground, water, etc). The original project consisted of approximately 100 square miles along the Atlantic Coast of Rhode Island. The full project including buffered area and all flightline coverage is approximately 205 square miles. The final classified lidar data were then used to create topobathymetric DEMs in IMG format with 1m pixel size using ground points. This dataset represents a contiguous area covering 2104 - 500 m x 500 m lidar tiles. This data referenced by the online linkage is the Void DEM data referenced in the processing steps. The void areas have not been interpolated. While Sandy was considered an extra-tropical storm when it struck, the word hurricane is in this sentence for search purposes.
Original contact information: 
   Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division
   Title: Chief, Remote Sensing Division
   Phone: 301-713-2663

Tags: 20140717, 20140718, 20140719, 20140720, 20140721, 20140722, 20140723, 20140724, 20140725, 20140731, 20140801, 20140806, 20140807, 20140808, 20140809, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, land surface, national ocean service, noaa, north america, oceans, office of coastal management, rhode island, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2005 Delaware Coastal Program Lidar: Sussex County

The data were acquired in March 2005 using the NASA Experimental Advanced Airborne Research Lidar (EAARL)
platform in Sussex County, Delaware. Once acquired, the data were processed by USGS personnel into both 2-foot contours
and digital elevation models. Multiple returns were recorded for each laser pulse. This is a bare earth data set. The points
have approximately a 3 m ground spacing. Water points remain in the bare earth data set, they have not been classified as water.

Original contact information: 
   Contact Org: Delaware Geological Survey
   Phone: 302-831-2833
   Email: delgeosurvey@udel.edu

Tags: bathymetry/seafloor topography, coastal elevation, coastal processes, continent, delaware, doc/noaa/nos/ocm, drainage area, earth science, hydraulic, hydrographic, hydrology, 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 Change, Commonwealth of the Northern Mariana Islands (CNMI), Guguan, 2004 - 2016

This data set contains the 2004 and 2016 classifications of Guguan, CNMI and can be used to analyze change. This data set utilized 2 full WorldView2 and Quickbird multispectral scenes and the 2004 high-resolution Guguan 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, guguan, 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