AndreaBozzo/ceres-open-data-index huggingface dataset:
2012 Oconee County, Georgia ADS80 Imagery

All imagery was collected during the 2012 Spring flying season during leaf-off conditions for deciduous vegetation in the State of Georgia. The sun angle was at 30-degrees or greater, and streams were within their normal banks. During the flight planning and acquisition, a significant effort was made to limit clouds, snow, fog, haze, smoke, or other ground obscuring conditions in the imagery. In no case does the maximum cloud cover exceed 5% per image. Within the immediate areas of power plants, factories, or controlled agricultural burns some steam or smoke and/or shadows may be visible on imagery.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aerial, airplane, cameras, coastal, continent, digital orthophotography, doc/noaa/nos/ocm, earth science, georgia, imagery, infrared imagery, infrared wavelengths, mosaic, national ocean service, noaa, north america, office of coastal management, orthophoto, photograph, rectified image, shoreline, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2006 C-CAP Land Cover of Old Woman Creek, Ohio, National Estuarine Research Reserve

This data set consists of land cover derived from high resolution orthoimagery, LiDAR data and ancillary data sources such as SSURGO and National Wetlands Inventory, and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol. This data set was developed through a collaboration between the Old Woman Creek, Ohio, National Estuarine Research Reserve and the NOAA Office for Coastal Management.

Tags: airplane, c-cap, cameras, continent, 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 estuarine research reserve, national ocean service, noaa, north america, office of coastal management, ohio, old woman creek, 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
Synthesizing Monitoring Data to Improve Coastal Wetland Management Across New England - NERRS/NSC(NERRS Science Collaborative)

This project synthesized Sentinel Site data for four New England National Estuarine Research Reserves (Great Bay, Narragansett, Waquoit Bay, and Wells), which have been individually monitoring salt marsh vegetation and elevation changes since at least 2011. The project team developed statistics-ready data packages linking vegetation change with surface elevation and other data, including output from an inundation tool. This project equipped New England reserves and coastal managers with new information to inform and improve the management, protection, and restoration of salt marshes. It produced an improved Sentinel Site monitoring protocol and established a methodology for analysis of marsh condition that can be used across the reserve system and by coastal managers nationwide. 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, great bay nerr, ma, maine, marine ecosystems, massachusetts, me, narragansett bay nerr, national ocean service, nerrs, new hampshire, nh, noaa, north america, office of coastal management, rhode island, ri, u.s. department of commerce, united states of america, waquoit bay nerr, wells nerr
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1980 Oconto County, WI NOAA Black & White 8 Bit Imagery

Historic aerial imagery for the Great Lakes shoreline of Lake Michigan was provided by the Bay-Lake Region Planning Commission (BLRPC). This imagery was captured in November 1980 by Aero-Metric Engineering, Inc. and archived by the BLRPC by Range/Township on mylar sheets at a scale of 1"=800'. Under contract to NOAA, Dewberry obtained the mylar sheets from BLRPC, scanned them at 600 DPI, and georeferenced the scanned images.

Tags: airplane, black and white, cameras, continent, doc/noaa/nos/ocm, earth science, glri, great lakes restoration initiative, historical, imagery, infrared imagery, infrared wavelengths, national ocean service, noaa, north america, office of coastal management, orthoimage, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths, wi, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Valuing the Ecosystem Services of Southern Maine Watersheds - NERRS/NSC(NERRS Science Collaborative)

Along the coast of southern Maine, the need to conserve natural buffers in order to protect rivers and wetlands has become a focal point for tensions between development and conservation interests. In this rapidly developing landscape, decision-makers often feel they must choose development over conservation or restoration to support local economies. While there is scientific evidence that underscores the value of protecting natural buffers around sensitive water bodies, local decision-makers need additional place-based, economic information about the ecosystem services that these lands provide and the range of tradeoffs that are implied in related land use decisions.

Tags: biosphere, buffer, doc/noaa/nos/ocm, earth science, ecosystem service valuation, ecosystems, estuary, land use planning, marine ecosystems, me, national ocean service, nerrs, noaa, office of coastal management, u.s. department of commerce, watershed, wells
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Salt Marsh Resilience, National, 2010

This polygon data set includes raw values and normalized scores for thirteen landscape scale metrics that characterize marsh resilience to sea level rise within watersheds along the coast of the conterminous United States. These metrics fall into bins related to current marsh condition, marsh vulnerability, and adaptation potential. The data are summarized at the watershed scale (HUC-12 units).

Tags: airplane, biota, c-cap, cameras, coastal zone, digital coast, doc/noaa/nos/ocm, earth science, land surface, land use/land cover, land use/land cover classification, lidar, national estuarine research reserves, national ocean service, nerrs, noaa, north america, ocean, office of coastal management, remotely sensed imagery/photos, resilience, salt marsh, sea level rise, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Rota  1946

This data set consists of land derived from scanned black and white aerial photographs and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 17 full historic scenes that were processed to detect C-CAP land cover features on Rota, 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, rota, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coral Protection Areas

These data depict zones for the protection of deep-sea coral from physical damage by fishing gear. Commercial fishermen are prohibited from using bottom-tending gear such otter trawls; beam trawls; hydraulic dredges; non-hydraulic dredges; seines; longlines; pots and traps; and sink or anchored gillnets within these zones. Additional coral protection areas may also be defined as part of an Area of Particular Concern within an Essential Fish Habitat.

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
AIS Vessel Transit Counts 2019

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. This dataset represents annual vessel transit counts summarized at a 100 m by 100 m geographic area. A single transit is counted each time a vessel track passes through, starts, or stops within a 100 m grid cell.

Tags: ais, coastal, continent, doc/noaa/nos/ocm, exclusive economic zone, 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
Bringing Wetlands to Market in Massachusetts - NERRS/NSC(NERRS Science Collaborative)

In the struggle to slow climate change, coastal wetlands are a critical assetâacre for acre, they can store up to five times as much carbon as rainforests. When wetlands are damaged or destroyed, they shift from being carbon âsinksâ to being carbon sources that release greenhouse gases into the atmosphere. Unfortunately, wetlands are disappearing at an alarming pace, and decisions to develop, protect, or restore them are often made in the context of limited public resources. Trading wetlands carbon offsets on carbon markets is an exciting new approach to creating financial incentives for restoration and conservation.

Tags: biosphere, blue carbon, carbon finance, climate change, doc/noaa/nos/ocm, earth science, ecosystem service valuation, ecosystems, estuary, habitat restoration, ma, marine ecosystems, national ocean service, nerrs, nitrogen, noaa, office of coastal management, u.s. department of commerce, waquoit bay
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2002 Sediment Profile Imaging (SPI) Data for Catlett and Goodwin Islands on the York River, Chesapeake Bay, Virginia (Ches_2002SPI)

This data set represents the sediment profile imaging data from 2002.In Fall/Winter 2002, researchers from the Virginia Institute of Marine Science (VIMS) and the NOAA Office for Coastal Management conducted a project to map benthic habitats by Catlett and Goodwin Islands on the York River, Chesapeake Bay, Virginia.  Sediment grab samples were collected at 56 stations and sediment profile images were collected at 200 stations.  Sampling areas were also surveyed using side scan sonar and interferometric swath bathymetry sensors.  Scientists from the Virginia Institute of Marine Sciences returned to sample a subset of the 2002 sediment grab data in 2003 and then again in 2004.  A subset of SPI stations (79) were revisited in 2004.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: 2002, benthic, benthic data, biosphere, catlett island, chesapeake bay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information systems, gis, goodwin island, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, sediment profile imaging, spi, u.s. department of commerce, united states of america, virginia, york river
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Big Island, 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 7 full or partial WorldView2 multispectral scenes and the 2005 high-resolution BigIsland 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, big island, c-cap, cameras, central pacific ocean, coastal zone, continent, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, hawaii, hawaii island, hawaiian islands, 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
2018 Kakagon Sloughs and Bad River, WI Natural Color, Color Infrared and Hyperspectral Imagery

Wild rice (manoomin) plays an integral role in the ecosystems, culture, and economy of the Lake Superior region and it faces an existential threat from invasive species which compete for the same habitat and a variety of other factors. Six Areas of Interest (AOI) were identified as pilot sites and selected as the target AOI for this project.

AOI/Pilot Sites
1. Crooked Lake, Sucker Lake, and the Ontonagon River (CSO)
2. Eastern Upper Peninsula (EUP)*
3. Fond du Lac (FDL)
4. Kakagon Sloughs and Bad River (KSBR)
5. St. Louis River Estuary (SLRE)
6. Upper St. Louis River (USLR)

*To request imagery, please contact NOAA Office for Coastal Management (NOAA/OCM) at coastal.info@noaa.gov.

Tags: airplane, cameras, color infrared, continent, doc/noaa/nos/ocm, earth science, glri, great lakes restoration initiative, hyperspectral, imagery, infrared imagery, infrared wavelengths, national ocean service, natural color, noaa, north america, office of coastal management, orthoimage, rectified image, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths, wi, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2014 Marion 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
1947 Commonwealth of the Northern Mariana Islands Historical Scanned Imagery

These images are part of a project funded by NOAA Office for Coastal Management to develop a high quality, user-friendly, attributed, centralized, multi-territorial digital database of georeferenced historic aerial imagery in the Pacific Islands region, including Hawaii, American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands. The objective of this project is to make previously unavailable historic aerial imagery of the Pacific Islands available for public consumption through NOAA's Digital Coast website. These images were scanned on a flatbed scanner and georeferenced to existing basemap data.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aerial, airplane, cameras, coastal, doc/noaa/nos/ocm, earth science, historical, imagery, infrared imagery, infrared wavelengths, micronesia, mosaic, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, photograph, rectified image, remotely sensed imagery/photos, scanned imagery, spectral/engineering, u.s. department of commerce, visible imagery, visible wavelengths, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Territory of American Samoa (East Manua)  2004-2010 Land Cover Change Analysis

This data set contains the 2004 and 2010 classifications of Territory of American Samoa (East Manua) and can be used to analyze change. This data set utilized 1 full IKONOS multispectral scene and 2 full or partial 2010 WorldView2 multispectral scenes, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, change detection analysis, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, 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, u.s. department of commerce, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2012 NOAA Coastal Services Center Coastal Inundation Digital Elevation Model: Mobile/Tallahassee (AL/FL) WFO - Taylor, Dixie, and Levy Counties

This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer (www.coast.noaa.gov/slr/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. 

Note: February, 2022 - This DEM was downsized after the remainder of the Florida Panhandle was updated with new data, and now only covers Taylor, Dixie and Levy Counties. The remaining references to the previous extent and naming are left for user reference until these data are updated as well.


The Mobile/Tallahassee (AL/FL) WFO DEM was split into three smaller DEMS. They are divided as follows:
1. Mobile/Tallahassee (AL/FL) WFO - Mobile County in Alabama and Escambia, Santa Rosa, and Okaloosa (portion) Counties in Florida
2. Mobile/Tallahassee (AL/FL) WFO - Okaloosa (portion), Walton, Bay, Gulf, Franklin (portion), and Wakulla (portion) Counties
3. Mobile/Tallahassee (AL/FL) WFO - Wakulla (portion), Franklin (portion), Jefferson, Taylor, Dixie, and Levy Counties.

This metadata record describes the DEM for the Mobile/Tallahassee (AL/FL) WFO - Wakulla (portion), Franklin (portion), Jefferson, Taylor, Dixie, and Levy Counties. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Wakulla (portion), Franklin (portion), Jefferson, Taylor, Dixie, and Levy counties, that met project specification. (See Note above)

This DEM is derived from LiDAR collected for the Florida Department of Emergency Management (FDEM). Hydrographic breaklines used in the creation of the DEM were obtained from FDEM and Southwest Florida Water Management District (SWFWMD). This DEM is hydro flattened such that water elevations are less than or equal to 0 meters.

This 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: airplane, bathymetry/topography, coastal elevation, coastal processes, continent, dem, digital elevation model, dixie county, doc/noaa/nos/ocm, earth science, elevation, flooding, florida, inundation, land surface, levy county, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, sea level rise, taylor county, terrain elevation, topography, u.s. department of commerce, united states of america, us, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Bathymetry Digital Elevation Model

This Digital Elevation Model (DEM) created for the Ocean Reports application is a combination of the NCEI Coastal Relief Model (CRM) and the GEBCO (2014) 1 arc-minute 2-dimensional bathymetric datasets. All components of the two models were resampled to 3 arc-seconds (as needed) and then mosaicked together to form the final output grid. The CRM integrates offshore bathymetry with land topography into a seamless representation of the coast. The CRM has a 3 arc-second resolution, except Alaska (24 arc-seconds), and spans the U.S. East and West coasts, the northern coast of the Gulf of Mexico, Puerto Rico, Hawaii, and Alaska, reaching out to and beyond the continental slope. Land and water portions of the CRM were used to construct the final DEM. The GEBCO data has a 1 arc-minute resolution and was supplemented in deeper portions of the ocean where the CRM data are not available. Where overlap occurred, CRM data were given precedence over GEBCO data. It should be noted that these are the best available data at the spatial extent needed (the entire U.S. Exclusive Economic Zone), but higher-resolution digital elevation models may be available for local or regional areas.

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