AndreaBozzo/ceres-open-data-index huggingface dataset:
2016 Morgan County, Georgia ADS100 4-Band 8 Bit Imagery

This data set consists of 0.5-foot pixel resolution, natural color orthoimages covering Morgan 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
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Portland (OR) WFO - Clatsop, Columbia, and Multnomah 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 Portland (OR) WFO DEM was split into two smaller DEMs. They are divided along county lines and are: 1. Portland (OR) WFO - Tillamook, Lincoln, and Lane Counties 2. Portland (OR) WFO - Clatsop, Columbia, and Multnomah Counties  This metadata record describes the DEM for the Portland (OR) WFO - Clatsop, Columbia, and Multnomah Counties. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Clatsop, Columbia, and Multnomah counties, that met project specifications.  Please note that the Portland WFO boundary extends into Washington state. The Washington portion of the WFO is also available for download from NOAA OCM as a separate product.  The DEM is derived from LiDAR datasets collected for the Oregon Department of Geology and Mineral Industries (DoGAMI) and the U.S. Army Corps of Engineers (USACE). LiDAR data for a portion of Clatsop County, was collected for DoGAMI in 2008-2009. LiDAR data along the Columbia River in Clatsop, Columbia and Multnomah counties was collected for USACE in 2010. Hydrographic breaklines used in the creation of the DEM were delineated using LiDAR intensity imagery generated from the DoGAMI datasets and were also obtained from USACE. The DEMs are hydro flattened such that water elevations are less than or equal to 0 meters.  The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 5 meters.

Tags: bathymetry/topography, clatsop county, coastal processes, columbia county, 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, multnomah county, national ocean service, noaa, north america, office of coastal management, oregon, 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
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Asuncion Island, 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 which was processed to detect C-CAP land cover features on the island of Asuncion Island, CNMI.

Tags: airplane, asuncion island, 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, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
RoxAnn Acoustic Sensor Data Points - Rehoboth Bay, Delaware Algae Mapping with Single Beam Acoustics: June 12 - 16, 2000

During the spring of 1999, the Delaware Coastal Programs(DCP) identified the spatial extent of macroalgae in the shallow portions of Rehoboth Bay utilizing traditional photogrammetric methods. The DCP used true color aerial photographs, image processing software, a geographical information system (GIS), and a limited field survey to identify 1.88 square kilometers of macroalgae in all but the deepest parts of the bay. Turbid conditions prevented identification of the full extent of the vegetation.Although the 1999 effort was highly successful, it was clear that aerial photography could not penetrate to the deeper parts of the bay or where conditions were turbid.For the 2000 effort, the DCP partnered with the National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management Coastal Remote Sensing Program. The Benthic Habitat Mapping project, a part of the Center's Coastal Remote Sensing program, utilized a RoxAnn acoustic sensor to identify benthic cover in turbid areas of the bay June 12- 16, 2000.The instrument was used to identify bottom type by extracting data on bottom roughness and bottom hardness from the primary and secondary sounder echoes. The data is classified on-the-fly, using a towed video camera for field validation, and subject to a post-processing classification. The unit collected data throughout the bay in areas greater than 1.4 meters in depth and serves as a powerful complement to the aerial photography. The RoxAnn data points were exported into a geographic information system (GIS) and post-processed to remove unreliable data points and re-classified. This data set is comprised of the cleaned, attributed point data. The attributes include location, date, time, depth, field derived classification,and the classification derived from post-processing the data. 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: acoustic, atlantic, benthic, biosphere, coastal, continent, delaware, delaware coastal programs, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, macroalgae, marine ecosystems, national ocean service, noaa, north america, northeast, nuisance algae, ocm benthic habitat mapping, office of coastal management, rehoboth bay, roxann, sea lettuce, u.s. department of commerce, ulva, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Significant Wave Height and Direction

Significant wave height is a spectrally derived time-series, which is the average of the highest third of the waves in a random seaway and roughly corresponds to the mean wave height. Values are in meters. Data represent monthly summaries for the time period from January 1980 to December 2009 and include the parameters; significant wave height (ssh), wave energy period (wep), and wave hindcast direction (dfp).

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, renewable energy, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Humboldt Bay, California Benthic Habitats 2009 Substrate

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, habitat, humboldt bay, marine ecosystems, national ocean service, noaa, north america, office of coastal management, south bay, substrate component, u.s., u.s. department of commerce, uc sea grant, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2019 Eureka, CA UltraCam 4-Band 8 Bit Imagery

This orthophotography dataset was created for the City of Eureka, California as a seamless 1.5-inch pixel resolution orthorectified aerial imagery dataset covering approximately 105 square miles of the city and its environs. The origin imagery was collected on July 24th, 2019 as a 36-bit RGB+NIR spectrum acquisition using an UltraCam digital camera system.  Associated ground control was captured by a California Certified PLS and a recent LiDAR digital elevation model was utilized for vertical reference. All data was acquired and processed in California Zone 1 State Plane, NAD83(2011), NAVD88 in US Survey Feet. Deliverables included 4-BAND (RGB+NIR) TIFF tiles, JP2 1:25 compressed tiles and JP2 1:25 compressed mosaic.

Tags: 1.5 inch orthoimage, 4 band, airplane, california, cameras, continent, doc/noaa/nos/ocm, earth science, imagery, infrared imagery, infrared wavelengths, national ocean service, noaa, north america, office of coastal management, orthoimage, orthophoto, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Territory of Guam 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 9 full or partial Quickbird multispectral scenes which were processed to detect C-CAP land cover features on the island of Guam.

Tags: airplane, c-cap, cameras, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, guam, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, 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
NOAA's Coastal Change Analysis Program (C-CAP) 1992 Regional Land Cover Data - Coastal United States

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, on a one-to-five year repeat cycle. The timeframe for this metadata is reported as 1992-Era, but the actual dates of the Landsat imagery used to create the land cover may have been acquired a few years before or after each era.  These maps are developed utilizing Landsat Thematic Mapper 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: c-cap, cameras, ccap, coastal change analysis program, continent, delaware, doc/noaa/nos/ocm, earth science, environmental governance/management, hawaii, human dimensions, land cover analysis, land management, land surface, land use classes, land use/land cover, land use/land cover classification, landsat, maryland, national ocean service, noaa, north america, office of coastal management, remotely sensed imagery/photos, u.s., u.s. coastal zone, u.s. department of commerce, united states of america, virginia, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Lanai, Hawaii 2005-2011 Land Cover Change Analysis

This data set contains the 2005 and 2011 classifications of Lanai and can be used to analyze change. This data set utilized utilized 14 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Lanai C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: airplane, c-cap, cameras, central pacific ocean, change detection analysis, coastal zone, continent, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, hawaii, hawaiian islands, lanai, 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
2016 NOAA NGS Topobathy Lidar DEM: Marthas Vineyard and Nantucket Island, MA

These data were collected by Leading Edge Geomatics using a Leica Chiroptera II Bathymetric &amp; Topographic Sensor.  The data were acquired from October 4, 2016 through November 1, 2016.  The data includes topobathy data in LAS 1.2 format classified as created, never classified (0); Unclassified (1); Ground (2); Topo Noise (7); Water (9); Refracted Bathymetric Noise (22); Water Column (25); Bathymetric Bottom or Submerged Topography (26); Water Surface (27); Derived Water Surface (28); Submerged Object (29); Submerged Object  International Hydrographic Organization S-57 object, not otherwise specified (30) in accordance with project specifications.  The project area covers Marthas Vineyard and Nantucket Islands along with some shoal areas surrounding the islands. The project covers a total of 234 square miles within the AOI.  This dataset contains 7030 - 500 m x 500 m lidar tiles.
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: 240-533-9576

Tags: 20161004, 20161101, bathymetry, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, dems, doc/noaa/nos/ocm, earth science, land surface, massachusetts, national ocean service, noaa, north america, oceans, office of coastal management, 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, Delaware, 2013

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 late summer 2013. 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, de, delaware, 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 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 Maryland based on 2000 Census Block Groups

This data depicts the social vulnerability of Maryland 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, maryland, 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 Upper Laguna Madre 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, 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, 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
R-Factor for Alaska

The rainfall-runoff erosivity factor (R-Factor) quantifies the effects of raindrop impacts and reflects the amount and rate of runoff associated with the rain. The R-factor is one of the parameters used by the Revised Unified Soil Loss Equation (RUSLE) to estimate annual rates of erosion. This product is a raster representation of R-Factor derived from isoerodent maps published in the Runoff Estimates for Small Rural Watersheds and Development of a Sound Design method. Volume II. (Fletcher et al., 1977). Lines connecting points of equal rainfall erosivity are called isoerodents. The isoerodents plotted on a map of Alaska were digitized, then values between these lines were obtained by linear interpolation. The final R-Factor data are in raster GeoTiff format at 800 meter resolution in Albers Conic Equal Area,WGS84, WGS84.

Tags: agriculture, alaska, coastal zone, continent, doc/noaa/nos/ocm, earth science, environmental monitoring, erosion, erosion/sedimentation, land surface, national ocean service, noaa, north america, office of coastal management, opennspect, r-factor, rainfall-runoff erosivity, revised universal soil loss equation, runoff, rusle, rusle2, soil erosion, soils, surface water, surface water processes/measurements, terrestrial hydrosphere, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce