AndreaBozzo/ceres-open-data-index huggingface dataset:
LANDFIRE Remap 2016 LANDFIRE Reference Database (LFRDB)

The LANDFIRE Reference Database (LFRDB) is a database of geo-referenced field data (plots) that describe vegetation and fuel attributes for a given area. The LFRDB provides “ground-truth” data for mapping and modeling vegetation. In LF 2016 Remap, improvements to the LFRDB include new data contributors, many more plots, increased distribution of plots, an updated Auto-Key Program, and the addition of geographic and geophysical variables. Learn more about the LFRDB here https://landfire.gov/lfrdb_data.php

Tags: ak, alaska, biota, conterminous-united-states, continental-u-s, conus, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, landfire-reference-database, lf-2016-remap, lfrdb, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-d7f026bb-5e91-4a52-83b8-f20a0d46f9b7
Organization: Department of the Interior
Unprocessed aerial imagery from 3 March 2023 coastal survey of Central California.

This is a set of 2758 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Monterey with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-cff32df2-f2a1-45f7-8db7-04ced48dfd38, visible-light-imaging
Organization: Department of the Interior
Aerial Imagery of the North Carolina Coast: 2022-10-27 to 2022-10-28

The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths with optimized endlap/sidelap and precise position information to create high-resolution orthomosaics, three-dimensional (3D) point clouds, and digital elevation/surface models (DEMs/DSMs) using Structure-from-Motion (SfM) photogrammetry methods. These products are valuable for measuring topographic and landscape change, and for understanding coastal vulnerability and response to disturbance events.
A nadir (vertical) aerial imagery survey was conducted from Cape Lookout to just north of Duck, North Carolina on October 27 and 28, 2022, to document the state of the coast during the 2022 Atlantic hurricane season. The observations along the coastline cover an approximately 250-kilometer-long by 300 to 1800-meter-wide swath of coastline and encompass both highly developed towns as well as natural undeveloped areas, including the federal lands of Cape Lookout National Seashore and Cape Hatteras National Seashore.
Low altitude (300 meters above ground level) digital aerial imagery were acquired with a manned, fixed-wing aircraft using the "Precision Airborne Camera (PAC)" System (version 2). The PAC system is operated by C.W. Wright and consists of a mounted fixed-lens digital camera, along with a custom integrated survey-grade Global Navigation Satellite System (GNSS) receiver. Data were collected in shore-parallel lines, flying at approximately 50 meters per second (m/s) and capturing true color imagery at 1 hertz (Hz), resulting in image footprints with approximately 75-80% endlap, 60-70% sidelap, and a 5.3-centimeter (cm) ground sample distance (GSD). The precise time of each image capture (flash event) was recorded, and the corresponding aircraft position was computed during post-processing of the GNSS data. Precise image positions can then be determined by accounting for the lever arm offsets between the aircraft GNSS antenna and the camera lens, which are provided in the PAC System metadata (Kranenburg and others, 2023, https://cmgds.marine.usgs.gov/data-services/rscc/PrecisionAirborneCameraSystem). Position data, provided as latitude/longitude/ellipsoid height, is referenced to the North American Datum of 1983 National Spatial Reference System 2011 (NAD83(2011)) coordinate system.

Tags: aerial-imagery, aerial-photography, albemarle-sound, cape-hatteras-national-seashore, cape-lookout-national-seashore, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, geomorphology, geoscientificinformation, geospatial-datasets, hurricanes, image-collections, imagerybasemapsearthcover, nags-head, north-carolina, oceans, outer-banks, pacific-coastal-and-marine-science-center, pamlico-sound, pcmsc, remote-sensing, spcmsc, st-petersburg-coastal-and-marine-science-center, structure-from-motion, u-s-geological-survey, usgs, usgs-cfe8339d-7bc0-4583-a97b-ce8ec8e9d6d2, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
PNG formatted images for multi-channel streamer seismic-reflection profiles collected in 2015 by the U.S. Geological Survey along the Delmarva Peninsula, MD and VA

The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy in the fall of 2012. The U.S. Geological Survey conducted cruises during the summers of 2014 and 2015 to map the inner continental shelf of the Delmarva Peninsula using geophysical and sampling techniques to define the geologic framework that governs coastal system evolution at storm-event and longer timescales. Geophysical data collected during the cruises include swath bathymetric, sidescan sonar, chirp and boomer seismic reflection profiles, grab sample and bottom photograph data. More information about the USGS survey conducted as part of the Hurricane Sandy Response-- Geologic Framework and Coastal Vulnerability Study can be found at the project website or on the WHCMSC Field Activity Web pages: https://woodshole.er.usgs.gov/project-pages/delmarva/, https://cmgds.marine.usgs.gov/fan_info.php?fan=2014-002-FA and https://cmgds.marine.usgs.gov/fan_info.php?fan=2015-001-FA. Data collected during the 2014 survey can be obtained here: https://doi.org/10.5066/F7MW2F60

Tags: applied-acoustics, assateague-island, assateague-island-national-seashore, atlantic-ocean, boomer, chincoteague-bay, chincoteague-inlet, chincoteague-island, chincoteague-national-wildlife-refuge, cmgp, coastal-and-marine-geology-program, cobb-island, delaware, delmarva-peninsula, field-activity-number-2015-001-fa, fisherman-island, geoeel, geometrics, geoscientificinformation, hog-island, image, image-collections, marine-geology, marine-geophysics, maryland, multi-channel-streamer, myrtle-island, oceans, parramore-island, png, s-boom, sea-floor, seafloor, seismic-profile, seismic-reflection, ship-shoal-island, smith-island, sub-bottom-profiling, subbottom, u-s-geological-survey, usgs, usgs-cfe5f586-1a25-4f6d-993b-0b948005a813, virginia, wallops-island, whcmsc, woods-hole-coastal-and-marine-science-center, wreck-island
Organization: Department of the Interior
usSEABED CoMPonent data for the New York-New Jersey Region (NYNJ_CMP)

This component data layer (CMP) file gives information about selected components (minerals, rock type, microfossils, benthic biota) and seafloor features (bioturbation, structure, ripples) at a given site. Values in the attribute fields represent the membership to that attribute's fuzzy set. For components such as minerals, rocks, micro-biota and plants, and/or epifauna and infauna, corals and other geologic and biologic information, the value depends on sentence structure and other components in description. For features (denoted by an asterisk) such as ripples, ophiuroids, sponges, shrimp, worm tubes, lamination, lumps, grading, and/or bioturbation, the value of the fuzzy set depends on the development of the attribute. Only the relative fuzzy presence of components and features can be determined; the absence of information does not indicate a lack of the attribute, only lack of information about that attribute.

Tags: analyses, atlantic-coast, atlantic-ocean, benthic-habitats-pacific-project, biogenic-sediments, cmgp, coastal-and-marine-geology-program, dbseabed, descriptions, east-coast, geology, geoscientificinformation, geospatial-datasets, grain-size, instaar, institute-of-arctic-and-alpine-research, location, marine-aggregates-resources-and-processes, marine-sediments, new-jersey, new-york, new-york-bight, oceans, pacific-science-center, psc, sea-floor-characteristics, seabed, seafloor, sediment-chemistry, sediment-composition, sediment-data, sediment-textures, sedimentation, terrigenous-sediments, texture, u-s-geological-survey, united-states, university-of-colorado, usgs, usgs-cfd4c830-7487-4fb3-9c55-0d9f710a3fca, usseabed, whsc, woods-hole-science-center
Organization: Department of the Interior
EAARL Coastal Topography--Pearl River Delta 2008: Bare Earth

A bare earth elevation map (also known as a Digital Elevation Model, or DEM) of the Pearl River Delta in Louisiana and Mississippi was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS), the University of New Orleans (UNO), and the National Aeronautics and Space Administration (NASA). Elevation measurements were collected over the area using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed-laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters. The EAARL, developed by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 15 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be easily surveyed within a 3- to 4-hour mission. When subsequent elevation maps for an area are analyzed, they provide resource managers with a useful tool regarding land development.

Tags: airborne-lidar-processing-system, alps, dem, digital-elevation-model, digital-elevation-models, eaarl, experimental-advanced-airborne-research-lidar, laser-altimetry, lidar, louisiana, mississippi, northern-gulf-of-mexico, pearl-river-delta, remote-sensing, topography, usgs-cfcffe36-1aad-428d-9ed4-04d5a458593e
Organization: Department of the Interior
MODFLOW-USG model of groundwater flow in the Wood River Valley aquifer system in Blaine County, Idaho

A three-dimensional numerical groundwater flow model (MODFLOW-USG) was developed for the 
Wood River Valley (WRV) aquifer system, south-central Idaho, to evaluate groundwater and 
surface-water availability at the regional scale. The U.S. Geological Survey (USGS), in 
cooperation Idaho Department of Water Resources, used the transient groundwater flow 
model to simulate historical hydraulic head conditions from 1995 to 2010. This USGS data 
release contains all of the input and output files for the simulation described in the associated 
model documentation report (https://doi.org/10.3133/sir20165080).

Tags: blaine-county, environment, geoscientificinformation, groundwater, groundwater-model, idaho, inlandwaters, modflow-usg, usgs-d4fa6a78-8003-4ec3-ae1f-b0665636fa78, usgsgroundwatermodel, wood-river-valley-aquifer
Organization: Department of the Interior
Middle Claiborne Confining Unit: Alabama, Arkansas, Kentucky, Louisiana, Missouri, Mississippi, Tennessee  2006-2008

Digital hydrogeologic surface of the Middle Claiborne Confining Unit in Alabama, Arkansas, 
Kentucky, Louisiana, Missouri, Mississippi, Tennessee. The hydrogeologic unit dataset 
contains 414 rows and 394 columns representing 1-mile grid spacing. In general, limitations 
of data interpolation included areas of sparse geophysical log control points, log datums 
not clearly defined for some logs, unknown exact extent of each hydrogeologic unit in 
subcrop, interpolation limitations, and values averaged over 1-mile grid spacing.

Tags: east-gulf-coastal-plain, gis, groundwater, inlandwaters, meras, mississippi-alluvial-plain, mississippi-embayment, mississippi-embayment-regional-aquifer-study, usgs-cfc5b26a-cd37-4b67-b9ff-d6fef0ee0121, water-availability, water-use, west-gulf-coastal-plain
Organization: Department of the Interior
Coverage Polygons for DEMs of the North-Central California Coast (DEM_coverage_areas.shp)

A GIS polygon shapefile outlining the extent of the 14 individual DEM sections that comprise the
seamless, 2-meter resolution DEM for the open-coast region of the San Francisco Bay Area
(outside of the Golden Gate Bridge), extending from Half Moon Bay to Bodega Head along the north-central
California coastline. The goal was to integrate the most recent high-resolution bathymetric and topographic
datasets available (for example, Light Detection and Ranging (lidar) topography, multibeam and single-beam
sonar bathymetry) into a seamless surface model extending offshore at least 3 nautical miles and inland
beyond the +20 meter elevation contour.

Tags: abbotts-lagoon, bathymetry, bathymetry-measurement, beaches, bodega-bay, bolinas, california, central-california, coastal, daly-city, digital-elevation-model, digital-elevation-models, drakes-bay, elevation, geoscientificinformation, geospatial-datasets, half-moon-bay, hazards, light-detection-and-ranging, marin-county, multibeam-swath-bathymetry-system, north-pacific-ocean, ocean, oceans, pacifica, palomarin-beach, point-reyes, point-reyes-beach, san-francisco-bay, san-francisco-county, san-mateo-county, sea-floor-characteristics, seafloor-topography, sonoma-county, state-of-california, tomales-bay, tomales-point, usa, usgs-cfb81451-fe72-4eae-bc65-dc7e495de9b3, wildcat-beach
Organization: Department of the Interior
LANDFIRE 2016 Remap Fuel Characteristic Classification System (FCCS) AK 2020 Capable Fuels

The LANDFIRE 2016 Remap (LF Remap) Fuel Characteristic Classification System (FCCS) calculates fuelbed characteristics and their potential fire behavior and effects. LF defines fuelbed as: the inherent physical characteristics of fuel that contribute to fire behavior and effects (Riccardi et al. 2007). FCCS represents the composition of fuels, and features six horizontal fuel layers called stratums (canopy, shrubs, herbs, downed wood, litter and duff). FCCS can be used for predicting surface fire behavior, crown fire potential, and fuel availability. FCCS fuelbeds are included preloaded in the US Forest Service (USFS) Fuel and Fire Tools (FFT) application. 
LF collaborated with the Fire and Environmental Research Applications (FERA) team of the USFS Pacific Northwest Research Station for creation of the FCCS product. Rule-based methods for crosswalks and mapping FCCS fuelbeds are constructed from the LF Remap Existing Vegetation Type (EVT) product. The EVT-to-fuelbed crosswalk rules often allow for several possibilities for fuelbeds; expert opinion is used to assign the most representative fuelbed and to determine where additional fuelbed development is necessary. FCCS fuelbed mapping should be considered a starting point and customized to represent sampled fuels within a project area. FCCS is a capable fuels product, capable fuels calculate TSD assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. This new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in this example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php. See the FCCS product page on the LF website for additional details https://www.landfire.gov/fccs.php.

Tags: ak, alaska, biota, fccs, fires, fuel-characteristic-classification-system, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2016-remap, lf-2016-remap, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-cfb2a6cd-78db-4658-90ab-799bd19f6b80
Organization: Department of the Interior
LANDFIRE Remap 2016 Fuel Rulesets Database (FRDB)

The Fuel Rulesets Database (FRDB) is a standalone database exported from the LANDFIRE (LF) Total Fuel Change Toolbar (LFTFC). The FRDB is in Microsoft Access Form format and displays LF fuel rules by Existing Vegetation Type (EVT), disturbance type, and LF map zone.

Tags: ak, alaska, biota, conterminous-united-states, continental-u-s, conus, fires, frdb, fuel-rulesets-database, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, lf-2016-remap, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-cfa86b8f-d402-4c48-89d7-204437104c92
Organization: Department of the Interior
Cape Canaveral, Florida, seismic chirp collected in 2016 by Coastal Carolina University

A geophysical survey was conducted offshore Cape Canaveral, Florida by Coastal Carolina University offshore of Cape Canaveral, Florida using high-resolution chirp sub-bottom, multibeam bathymetry and side scan sonar (SSS) systems on June 13, 14, 16, and 17 of 2016. This USGS data release includes the resulting processed elevation point data (xyz), an interpolated digital elevation model (DEM), with processed backscatter, side scan sonar, and seismic chirp data.

Tags: 512i, cape-canaveral, chirp, cmgp, coastal-and-marine-geology-program, coastal-carolina-university, coastal-location, elevation, epipelagic, florida, geophysical, geophysics, geoscientificinformation, hydrography, imagerybasemapsearthcover, location, marine-geology, ocean-characteristics, ocean-processes, oceans, sea-surface, seismic-reflection, society-of-exploration-geophysicists-seg-y, spcmsc, st-petersburg-coastal-and-marine-science-center, subbottom-profile, u-s-geological-survey, usgs, usgs-cfa5b1c5-3b20-4789-a77b-bc47244b901b
Organization: Department of the Interior
Fire Island Shoreface Bathymetric Data collected with Personal Watercraft and Backpack along Fire Island, New York (2014) as a GeoTIFF

Scientists from the U.S. Geological Survey St. Petersburg Coastal
and Marine Science Center in St. Petersburg, Florida, conducted a
bathymetric survey of Fire Island, New York, from October 5 to 10,
2014. The U.S. Geological Survey is involved in a post-Hurricane
Sandy effort to map and monitor the morphologic evolution of the
wilderness breach, which formed in October 2012 during Hurricane
Sandy, as part of the Hurricane Sandy Supplemental Project GS2-2B.
During this study, bathymetry data were collected, using single-beam
echo sounders and global positioning systems mounted to personal
watercraft, along the Fire Island shoreface and within the
wilderness breach, Fire Island Inlet, Narrow Bay, and Great South
Bay east of Nicoll Bay. Additional bathymetry and elevation data
were collected using backpack and wheel-mounted global positioning
systems along the subaerial beach (foreshore and backshore), and
flood shoals and shallow channels within the wilderness breach and
adjacent shoreface.

Tags: 2014-325-fa, atlantic-ocean, backpack-gps, barrier-island, bathymetry, bellport-bay, cmgp, coastal-and-marine-geology-program, digital-elevation-models, elevation, fire-island, fire-island-inlet, fire-island-national-seashore, geomorphology, geophysics, geoscientificinformation, geospatial-datasets, gps-measurement, great-south-bay, hurricane-sandy, hurricane-sandy-supplemental-fire-island, image-mosaics, imagerybasemapsearthcover, mapping, marine-geology, narrow-bay, new-york, oceans, otis-pike-fire-island-high-dune-wilderness, sea-floor-characteristics, shoals, single-beam, single-beam-echo-sounder, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states-of-america, usgs, usgs-cfa31546-2f5d-41be-be07-c94f03eb0264, wilderness-breach
Organization: Department of the Interior
BS_Q04.TIF - Bering Sea U.S. EEZ GLORIA sidescan-sonar data mosaic (4 of 30) (LCC, 50 m, Clarke1866)

In 1984, the U.S. Geological Survey (USGS), Office of Marine Geology, launched a program using the Geological LOng-Range Inclined Asdic (GLORIA) sidescan-sonar system to study the entire U.S. Exclusive Economic Zone (EEZ). From 1986 through 1989, the USGS and IOS (Institute of Oceanographic Sciences, U.K.) scientists conducted several surveys within the U.S. EEZ off Alaska. Four surveys during that time period (1986-1987) focused on the Bering Sea region. The results of these surveys were 30 digital mosaics of a 3 degree by 2 degree area with a 50-meter pixel resolution.

Tags: acoustic-receivers, acoustic-reflectivity, agattu-island, alaska, aleutian-basin, aleutian-islands-ecoregion, aleutian-ridge, attu-island, backscatter, bering-canyon, bering-channel, bering-fan, bering-sea, beringian-margin, bowers-ridge, buldir-island, cmgp, coastal-and-marine-geology-program, continental-island-rise, continental-island-slope, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, image-mosaics, imagerybasemapsearthcover, infobank-identifier-f-1-87-bs, infobank-identifier-f-2-86-bs, infobank-identifier-f-3-86-bs, infobank-identifier-f-4-86-bs, little-sitkin-island, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, ocean-gt-pacific-ocean, ocean-gt-pacific-ocean-gt-north-pacific-ocean, ocean-gt-pacific-ocean-gt-north-pacific-ocean-gt-bering-sea, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, physical-habitats-and-geomorphology, pribilof-canyon, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, semisopochnoi-island, shemya-island, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, u-s-geological-survey, umnak-plateau, usgs, usgs-cf8ea766-1388-4266-a579-7bef88acdbed, wcmg, western-coastal-and-marine-geology, zhemchug-canyon
Organization: Department of the Interior