AndreaBozzo/ceres-open-data-index huggingface dataset:
Maui Ground Validation Point Data for Benthic Habitats of the Main Hawaiian Islands Prepared by Visual Interpretation from Remote Sensing Imagery Collected by NOAA Year 2000

This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerialphotography, hyperspectral and IKONOS satellite imagery. These point data were generated to conduct ground validation during map preparation.

Tags: aquatic vegetation, coral reef, coralline algae, doc/noaa/nos/nccos, environmental monitoring, habitat, hawaii, hawaii_2000, maui, national centers for coastal ocean science, national ocean service, noaa, oceans, point, reef, submerged, u.s. department of commerce, u.s. exclusive economic zone, unconsolidated sediments, united states, zone
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Hyperspectral Imagery for the Main Eight Hawaiian Islands:Hawaii (417-0620-332211)

This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerial photography, hyperspectral and IKONOS satellite imagery.The enhanced spectral resolution of hyperspectral and control of bandwidths of multispectral data yield an advantage over color aerial photography particularly when coral health and time series analysis of coral reef community structure are of interest.  Depending on the type of instrument, a spectral imaging system can be utilized to see multiple colors from ultraviolet through the far infrared range.  The AURORA hyperspectral imaging system collected 72 ten nm bands in the visible and near infrared spectral range with a 3 meter pixel resolution.  The data was processed to select band widths, which optimized feature detection in shallow and deep water. Photointerpreters can accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor using a software interface such as the Habitat Digitizer.

Tags: aurora hyperspectral imagery, benthic, coral, doc/noaa/nos/nccos, environmental monitoring, habitat, hawaii, hawaii_images_2000, island of hawaii, mangrove, national centers for coastal ocean science, national ocean service, noaa, oceans, reef, remotely sensed imagery/photos, sav, seagrass, u.s. department of commerce, u.s. exclusive economic zone, united states
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Hyperspectral Imagery for the Main Eight Hawaiian Islands:Oahu (207a-0613-332211)

This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerial photography, hyperspectral and IKONOS satellite imagery.  The enhanced spectral resolution of hyperspectral and control of bandwidths of multispectral data yield an advantage over color aerial photography particularly when coral health and time series analysis of coral reef community structure are of interest.  Depending on the type of instrument, a spectral imaging system can be utilized to see multiple colors from ultraviolet through the far infrared range.  The AURORA hyperspectral imaging system collected 72 ten nm bands in the visible and near infrared spectral range with a 3 meter pixel resolution.  The data was processed to select band widths, which optimized feature detection in shallow and deep water.  Photointerpreters can accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor using a software interface such as the Habitat Digitizer.

Tags: aurora hyperspectral imagery, benthic, coral, doc/noaa/nos/nccos, environmental monitoring, habitat, hawaii, hawaii_images_2000, mangrove, national centers for coastal ocean science, national ocean service, noaa, oahu, oceans, reef, remotely sensed imagery/photos, sav, seagrass, u.s. department of commerce, u.s. exclusive economic zone, united states
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Median Chlorophyll Geotifs of Stellwagen Bank National Marine Sanctuary

Median Monthly Chlorophyll - Each image represents one calendar month

Tags: chlorophyll, doc/noaa/nos/nccos, environmental monitoring, gulf of maine, national centers for coastal ocean science, national ocean service, noaa, ocean color, sbnms_assess_remote_sensing, seawifs, stellwagen, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Geotiff - 5 meter LiDAR Reflectivity, U.S. Caribbean - Puerto Rico (southwest) - Projects OPR-I305-KRL-06, (2006), UTM 19N NAD83

This image represents a LiDAR (Light Detection and Ranging) intensity mosaic (mean 5 meter gridded) from the shoreline of southwestern Puerto Rico to about 50 meters in depth.  Reflectivity was calculated for each sounding as the ratio of returned energy to transmitted energy, normalized for losses in a single wavelength (green/blue 532nm). The numerical values for the relative reflectivity are scaled logarithmically to an 8-bit integer range 0 - 255The Tenix LADS Corporation (TLI) acquired bathymetric LIDAR for NOAA from 4/07/2006 to 5/15/2006. Data was acquired with a LADS (Laser Airborne Depth Sounder) Mk II Airborne System from altitudes between 1,200 and 2,200ft at ground speeds between 140 and 175 knots. The 900 Hertz Nd: YAG (neodymium-doped yttrium aluminum garnet) laser (1064 nm) acquired 4x4 meter spot spacing and 200% seabed coverage.  In total, 265 square nautical miles of LiDAR were collected between -50 m (topographic) and up to 70 m (depth), requiring a total of 102 flight hours (134 hours, including flight time to and from San Juan airport).  Environmental factors such as wind strength and direction, cloud cover, and water clarity influenced the area of data acquisition on a daily basis. The data was processed using the LADS Mk II Ground System and data visualization, quality control and final products were created using CARIS HIPS and SIPS 6.1 and CARIS BASE Editor 2.1 The project was conducted to meet the IHO (International Hydrograph Organization) Order 1 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

Tags: 2006, aquatic habitat, atlantic ocean, backscatter, bathymetry, bathymetry/seafloor topography, benthic, biogeography, biosphere, caribbean sea /north atlantic ocean, coral, country/territory, description, doc/noaa/nos/nccos, earth science, geographic information, gis, habitat, integrated ocean and coastal mapping, intensity, iocm, lads mk ii, lidar, light, mayaguez (18n067w00010), mayaguez (18n067w0010), mosaic, national centers for coastal ocean science, national ocean service, noaa, ocean basin, oceans, opr-i305-krl-06, puerto rico, raster, reef, reef habitat, reflectivity, seafloor, southwestern puerto rico, u.s. caribbean, u.s. department of commerce, united states of america, vi_pr_nps_mapping
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NEPR World View 2 Satellite Mosaic - NOAA TIFF Image

This GeoTiff is a mosaic of World View 2 panchromatic satellite imagery of Northeast Puerto Rico that contains the shallow water area (0-35m deep) surrounding Northeast Puerto Rico and Culebra Island. The WV2 imagery was processed using ArcGIS tools to cloudmask, deglint and water-column correct the image (Lyzenga method) then using PCI imagery analysis to create a continues, color balanced mosaic. The DigitalGlobe WV2 is a commercial high resolution (0.5m - 1.5m) multi-spectral satellite that surveyed the NEPR area in 2011-2013. The enhanced Red, Green, Blue and Near Infrared 1 bands allowed the Biogeography branch to delineate habitats using feature extraction tools in Envi 5.1 software. The multispectral bands were analyzed to detect coral reefs and seagrass beds under the surface of the water, as well as features above the surface, such as mangroves, salt ponds, and the shoreline edges. The WV2 mosaic, the bathymetry model, principle component analysis, and aerial imagery were all used integrally to create the NEPR Benthic Habitat Map.

Tags: 2013, aquatic habitat, bathymetry, bathymetry/seafloor topography, bathymetry/topography, benthic, biogeography, biosphere, caribbean sea, coastal ocean science, coral, country/territory, description, digital globe, doc/noaa/nos/nccos, earth science, geographic information, gis, grid, habitat, mangrove, multi spectral, national centers for coastal ocean science, national ocean service, near infrared, nerbenthichabitat2015, noaa, northeast ecological reserve, northeast grand reserve, oceans, puerto rico, raster, reef, reef habitat, satellite imagery, sea surface, seafloor, seagrass, shoreline, u.s. department of commerce, united states of america, vieques sound, worldview 2
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1988 Seagrass and Mangrove Habitats of the Salt River Bay National Historical Park and Ecological Preserve

Habitat maps were created as part of a larger ecological assessment conducted by NOAA's National Ocean Service (NOS), Biogeography Branch, for Salt River Bay National Historic Park and Ecological Preserve (National Park Service).Aerial photographs were obtained for 1988 from the National Geodetic Survey, and were orthorectified by the Biogeography Branch.  A classification scheme was set up with 20 benthic habitat types, 19 land cover types, and 13 mangrove habitat types.  For this map of seagrass and mangrove habitats during 1988 only the 3 seagrass, and 14 mangrove classification categories were used.  These were mapped directly into a GIS system through visual interpretation of orthorectified aerial photographs.

Tags: aerial photography, aquatic habitat, base map, benthic habitat, biosphere, coastal processes, coral mapping, coral reef, coral reef mapping, coral reef monitoring and assessment, corals, country/territory, doc/noaa/nos/nccos, earth science, environmental monitoring, geographic information, mangroves, map images, marine biology, marine plants, monitoring, national centers for coastal ocean science, national ocean service, national park service, noaa, oceans, polygons, reef monitoring and assessment, remote sensing, salt river bay, salt river bay historical park and ecological preserve, seagrass, seagrass monitoring, st. croix, st. croix (17n064w0003), u.s. department of commerce, u.s. virgin islands, united states of america, us virgin islands, usvi_salt_river, zoology
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitats of Puerto Rico and the U.S. Virgin Islands;Photomosaic of Puerto Rico (Isla de Mona), 1999

Habitat maps of Puerto Rico and the U.S. Virgin Islands were created by visual interpretation of aerial photographs using the Habitat Digitizer Extension.  Aerial photographs are valuable tools for natural resource managers and researchers since they provide an excellent record of the location and extent of habitats.  However,spatial distortions in aerial photographs due to such factors as camera angle, lens characteristics, and relief displacement must be accounted for during analysis to prevent incorrect measurements of area, distance, and other spatial parameters. These distortions of scale within an image can be removed through orthorectification.  During orthorectification, digital scans of aerial photos are subjected to algorithms that eliminate each source of spatial distortion.  The result is a georeferenced digital mosaic of several photographs with uniform scale throughout the mosaic.  Features near land are generally georeferenced with greater accuracy while the accuracy of features away from land is generally not as good.  Where no land is in the original photographic frame only kinematic GPS locations and image tie points were used to georeference the images.  After the orthorectified mosaics were created, photointerpreters were able to accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor.

Tags: aerial photography, benthic, coral, doc/noaa/nos/nccos, habitat, mangrove, mona, national centers for coastal ocean science, national ocean service, noaa, oceans, puerto rico, reef, remotely sensed imagery/photos, sav, seagrass, u.s. department of commerce, u.s. exclusive economic zone, vi_pr_photo
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Gulf of Maine - Control Points Used to Validate the Accuracies of the Interpolated Water Density Rasters

This feature dataset contains the control points used to validate the accuracies of the interpolated water density rasters for the Gulf of Maine.  These control points were selected randomly from the water density data points, using Hawth's Create Random Selection Tool.  Twenty-five percent of each seasonal bin (for each year and at each depth) were randomly selected and set aside for validation.  For example, if there were 1,000 water density data points for the fall (September, October, November) 2003 at 0 meters, then 250 of those points were randomly selected, removed and set aside to assess the accuracy of interpolated surface. The naming convention of the validation point feature class includes the year (or years), the season, and the depth (in meters) it was selected from.  So for example, the name: ValidationPoints_1997_2004_Fall_0m would indicate that this point feature class was randomly selected from water density points that were at 0 meters in the fall between 1997-2004.  The seasons were defined using the same months as the remote sensing data--namely, Fall = September, October, November; Winter = December, January, February; Spring = March, April, May; and Summer = June, July, August.

Tags: 1912-2004, doc/noaa/nos/nccos, environmental monitoring, gulf of maine, halocline, national centers for coastal ocean science, national ocean service, noaa, pycnocline, sbnms_assess_water_strat, stellwagen bank national marine sanctuary, thermocline, tides/currents, u.s. department of commerce, water density, water salinity, water stratification, water temperature
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
U.S.V.I. Relative Erosion Potential - 1990

The relative erosion potential is an indicator of sediment and pollution runoff from land based on slope, soil type, land cover (circa 1990) and (maximum monthly) precipitation

Tags: doc/noaa/nos/nccos, environmental monitoring, erosion, land based sources of pollution, national centers for coastal ocean science, national ocean service, noaa, runoff, saint croix, saint john, saint thomas, sediment, summit-to-sea, u.s. department of commerce, usvi
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitats of Puerto Rico and the U.S. Virgin Islands;Photomosaic of Puerto Rico (Barcelon), 1999

Habitat maps of Puerto Rico and the U.S. Virgin Islands were created by visual interpretation of aerial photographs using the Habitat Digitizer Extension.  Aerial photographs are valuable tools for natural resource managers and researchers since they provide an excellent record of the location and extent of habitats.  However,spatial distortions in aerial photographs due to such factors as camera angle, lens characteristics, and relief displacement must be accounted for during analysis to prevent incorrect measurements of area, distance, and other spatial parameters. These distortions of scale within an image can be removed through orthorectification.  During orthorectification, digital scans of aerial photos are subjected to algorithms that eliminate each source of spatial distortion.  The result is a georeferenced digital mosaic of several photographs with uniform scale throughout the mosaic.  Features near land are generally georeferenced with greater accuracy while the accuracy of features away from land is generally not as good.  Where no land is in the original photographic frame only kinematic GPS locations and image tie points were used to georeference the images.  After the orthorectified mosaics were created, photointerpreters were able to accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor.

Tags: aerial photography, barceloneta, benthic, coral, doc/noaa/nos/nccos, habitat, mangrove, national centers for coastal ocean science, national ocean service, noaa, oceans, puerto rico, reef, remotely sensed imagery/photos, sav, seagrass, u.s. department of commerce, u.s. exclusive economic zone, vi_pr_photo
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Water Stratification Raster Images for the Gulf of Maine

This geodatabase contains seasonal water stratification raster images for the Gulf of Maine.   They were created by interpolating water density (sigma t) values at 0 meters and 50 meters binned by season, and subtracting the water density surface at 0 meters from the water density surface at 50 m.  This subtraction (as denoted by the raster value) indicates the differences in water density throughout the Gulf of Maine during the year.  The more positive or negative the raster value, the larger the difference between the water density raster at 0 m and the water density raster at 50 m and thus, the more stratified the water.  Similarly, the closer the raster value is to 0, the smaller the difference between the water density raster at 0 m and the water density raster at 50 m and thus, the less stratified the water. We tried this density difference calculation with 0 and 10 meters as well as 0 and 30 meters.  We chose to use 50 meters as the lower water density depth because water less than 10 meters may have been subject to wind and convective mixing, and water less than 30 meters may have been influenced by internal waves.  Water at 50 meters, however, illustrated the greatest difference in stratification strength (buoyancy frequency squared) between layers in the water column (Brown and Irish, 1993). The naming convention of the raster includes the year (or years) included in the the interpolation, the season, and the depth (in meters).  So for example, the name: ws_1997_2004_Fall would indicate that this water stratification raster was created by subtracting water density rasters that were interpolated using data from 1997-2004 for the fall.  The seasons were defined using the same months as the remote sensing data--namely, fall = September, October, November; winter = December, January, February; Spring = March, April, May and Summer = June, July, August.

Tags: 1912-2004, doc/noaa/nos/nccos, environmental monitoring, gulf of maine, halocline, national centers for coastal ocean science, national ocean service, noaa, pycnocline, sbnms_assess_water_strat, stellwagen bank national marine sanctuary, thermocline, tides/currents, u.s. department of commerce, water density, water salinity, water stratification, water temperature
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NEPR Accuracy Assessment Points - 2015

This shapefile denotes the location of underwater photos and videos taken in shallow water (0-35m) benthic habitats surrounding Northeast Puerto Rico and Culebra Island. The area includes the nearshore waters of Fajardo and Luqillo to the Former Roosevelt Roads Navy Base, the Vieques Sound, La Cordillera Reserve, the Luis Pena Reserve, and the waters around Culebra Island. The Accuracy Assessment data contains GPS-positioned underwater photo/videos of selected benthic habitats that were used to assess the accuracy of the benthic habitat polygons created by the Biogeography Team. The observations from the videos are used to rate the amount of error in the polygons that delineate habitat features. The AA data was collected in September 3  15, 2014. The field work was conducted by NOAA together with local DRNA and NOAA contractors.

Tags: accuracy assessment, acropora cervicornis, acropora palmata, atlantic ocean, bathymetry, benthic habitat, cabeza de san juan, caribbean, coastal ocean science, coral reef, culebra, doc/noaa/nos/nccos, fajardo, gopro, la cordillera, national centers for coastal ocean science, national ocean service, nerbenthichabitat2015, noaa, northeast ecological reserve, seagrass, seaviewer, snorkel, trimble, u.s. department of commerce, u.s. exclusive economic zone, underwater video, vieques sound
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Hyperspectral Imagery for the Main Eight Hawaiian Islands:Oahu (207a-0613-272217)

This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerial photography, hyperspectral and IKONOS satellite imagery.  The enhanced spectral resolution of hyperspectral and control of bandwidths of multispectral data yield an advantage over color aerial photography particularly when coral health and time series analysis of coral reef community structure are of interest.  Depending on the type of instrument, a spectral imaging system can be utilized to see multiple colors from ultraviolet through the far infrared range.  The AURORA hyperspectral imaging system collected 72 ten nm bands in the visible and near infrared spectral range with a 3 meter pixel resolution.  The data was processed to select band widths, which optimized feature detection in shallow and deep water.  Photointerpreters can accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor using a software interface such as the Habitat Digitizer.

Tags: aurora hyperspectral imagery, benthic, coral, doc/noaa/nos/nccos, environmental monitoring, habitat, hawaii, hawaii_images_2000, mangrove, national centers for coastal ocean science, national ocean service, noaa, oahu, oceans, reef, remotely sensed imagery/photos, sav, seagrass, u.s. department of commerce, u.s. exclusive economic zone, united states
Organization: National Oceanic and Atmospheric Administration, Department of Commerce