AndreaBozzo/ceres-open-data-index huggingface dataset:
2015-2017 C-CAP Derived 10 meter Land Cover - BETA

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 data is 2015, 2016, or 2017 (depending on the exact date of imagery used). These maps are developed through the automated classification of high resolution National Agriculture Imagery Program (NAIP) imagery, available Lidar digital elevation data, and assorted ancillary information. 

While produced as part of the Coastal Change Analysis Program (C-CAP), these products should not be compared directly to past dates of 30-meter C-CAP to identify change, as there will be vast differences caused by the different methods and the classes mapped.

These data should be considered to be BETA-level or draft products. They are based on 1-meter land cover mapping that were entirely automated and the relationship of those data to existing wetlands data. As such, there may be issues that result from the different vintages of these products, as well as the errors included in each. While not perfect, the data should provide an example of what level of detail would be possible through such higher-resolution mapping.

These data are not jurisdictional or intended for use in litigation. NOAA does not assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Tags: airplane, c-cap, cameras, coastal zone, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, massachusetts, 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
C-CAP Commonwealth of the Northern Mariana Islands (CNMI), Rota 2005-2014 Land Cover Change Analysis

This data set contains the 2005 and 2014 classifications of Rota, CNMI and can be used to analyze change. This data set utilized utilized 5 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Rota 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, 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
1998 Fall East Coast NOAA/USGS/NASA  Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected in the fall of 1998 and covers the states of South Carolina, North Carolina, and Virginia.
Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground
elevation and coastal topography. The laser emits laser beams at high frequency and is directed downward at the
earth's surface through a port 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 aircraft travels over the beach at approximately 60 meters per second while surveying from
the low water line to the landward base of the sand dunes.

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: bathymetry/seafloor topography, beach, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, national ocean service, noaa, north america, north carolina, oceans, office of coastal management, seafloor topography, south carolina, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover Change, Commonwealth of the Northern Mariana Islands (CNMI), Sarigan, 2004 - 2015

This data set contains the 2006 and 2015 classifications of Sarigan, CNMI and can be used to analyze change. This data set utilized 2 full WorldView2 and Quickbird multispectral scenes and the 2006 high-resolution Sarigan C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: 2004, 2015, 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, sarigan, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Planning for Florida's Rising Tides - NERRS/NSC(NERRS Science Collaborative)

The beautiful beaches, dramatic landscapes, and oceanside towns of coastal Florida shine like beacons for millions of sunbirds, snow birds, and âstayers.â As sea levels rise and extreme storms become more frequent, it is increasingly challenging for coastal communities to protect the infrastructure and habitats that are the foundation of the stateâs quality of life. Planning for these challenges requires the engagement of diverse stakeholders who must balance competing needs for water resources now, and in an uncertain future.

Tags: biosphere, climate change, climate resilience, doc/noaa/nos/ocm, earth science, ecosystems, estuary, fl, guana tolomato mantanzas, marine ecosystems, national ocean service, nerrs, noaa, office of coastal management, planning, sea level rise, storm, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2004 Benthic Grab Data for Catlett and Goodwin Islands on the York River in Chesapeake Bay, Virginia (Ches_2004benthos)

This data set represents the benthic community information gathered from grab sampling in 2004 (12 stations). 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 multibeam 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: 2004, amphipoda, amphipods, benthic, benthos, biosphere, bivalves, bivalvia, catlett island, chesapeake bay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, gastropoda, gastropods, geographic information systems, gis, goodwin island, infauna, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, oligochaeta, oligochaetes, phoronidae, phoronids, polychaeta, polychaetes, sediment, sediment grab, u.s. department of commerce, united states of america, virginia, york river
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Modeling Stormwater Impacts in Coastal South Carolina - NERRS/NSC(NERRS Science Collaborative)

Coastal South Carolinaâs population is on the rise. As development to support this growth increases, communities must contend with the increase in stormwater runoff that accompanies the spread of roads, parking lots, and other impervious surfaces. Rather than soaking into the ground, much of this stormwater is flowing directly into coastal water bodies, changing the ecological conditions in which the regionâs fish and shellfish thrive. To protect coastal waters, officials from the stateâs Beaufort County need to know which areas are most sensitive to the impacts of this runoff so they can allocate their resources effectively.

Tags: ashepoo combahee edisto basin, biosphere, doc/noaa/nos/ocm, earth science, ecosystems, estuary, marine ecosystems, modeling, national ocean service, nerrs, noaa, office of coastal management, runoff, sc, stormwater, u.s. department of commerce, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Aguijan, 2016

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 a Worldview-2 multispectral scene dated 09-09-2016.

Tags: 2016, aguijan, 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, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sediment profile image data from June 1995 in the inland bays of New York/New Jersey Harbor

Sediment profile images (SPI) of the sediment-water interface were collected using a sediment profiling camera at pre-determined locations in the harbor. Physical, chemical,geological and biological conditions observed in the photos were used to create a database for all stations, and habitat classes were defined by sediment type and/or faunal community for each location. The database was then used in a Geographic Information System (GIS) to characterize benthic habitat types for New York/New Jersey Harbor.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitat, benthic mapping, biosphere, bowery bay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, flushing bay, geographic information system, gis, jamaica bay, marine ecosystems, national ocean service, new york, new york harbor, newark bay, noaa, north america, northeastern u. s., ocm benthic habitat mapping, office of coastal management, sediment profile imagery, spi, u.s. department of commerce, united states of america, upper bay
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2013 NOAA Topographic Lidar DEM: U.S. Virgin Islands (St. Croix, St. John, St. Thomas)

The United States Virgin Islands Topographic LiDAR Task Order involved collecting and delivering topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements on the islands of St. Thomas, St. John, St. Croix and numerous smaller islands and islets in the United States Virgin Islands.  The data collected for the project area will exhibit Hydro Flattened DEMs (1m resolution) for inclusion into the NED. The purpose of the data is for use in coastal management decision making, including applications such as flood plain mapping and water rights management. LiDAR was collected at an average of 0.7 meter point spacing for all acquired project areas.

Overall the DEMs were acceptable, but appear oversampled as a result of low ground point density (heavy vegetation), and is not a contractor issue as a 1 m DEM was specified. Incremental improvements to the DEMs were earned through breakline adjustments. Another characteristic of the USVI lidar data that was observed on all islands is the appearance of divots where there is a single tree or a narrow line of trees that lie in areas of open, bare terrain. The cause appeared to be sub-canopy points that were lower than the surrounding land. In most cases these low points were lower than the true ground surface at those locations, but were classified as ground and retained in the point cloud for use in DEM generation. This issue was not addressed during revisions.

Tags: atlantic ocean, caribbean sea, coastal elevation, coastal processes, dem, dems, doc/noaa/nos/ocm, earth science, land surface, national ocean service, noaa, north atlantic ocean, ocean, oceans, office of coastal management, terrain elevation, topographical relief maps, topography, u.s. department of commerce, virgin islands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2008 Northwest Florida Water Management District (NWFWMD) LiDAR: Inland Okaloosa County

This Light Detection and Ranging (LiDAR) LAS dataset is a survey of inland Okaloosa County, Florida not
covered in the 2008 Florida Department of Emergency Management LiDAR initiative. The project area consists of
approximately 874 square miles, including a buffer of approximately 50 feet along the edges of the project. The
project design of the LiDAR data acquisition was developed to support a nominal post spacing of 4.9 feet
or 1.5 meters for un-obscured areas. Fugro EarthData, Inc. acquired 49 flight lines in three lifts on February 10, 2008.
The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. LiDAR data collection was
performed with a Cessna 310 aircraft, utilizing a Leica ALS50-II MPiA sensor, collecting multiple return x, y, and z
data as well as intensity data. LiDAR data was processed to achieve a bare ground surface. LIDAR data is remotely
sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser
range finding, GPS positioning and inertial measurement technologies, LIDAR instruments are able to make highly
detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. This data of
inland Okaloosa County, Florida, was collected at sufficient resolution to provide a nominal point spacing of
1.5m for collected points. Up to 5 returns were recorded for each pulse in addition to an intensity value.

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: bare earth, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, florida, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, surface, terrain, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: New York, Suffolk County

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr.
      
      This metadata record describes the New York, Suffolk County digital elevation model (DEM), which is a part of a series
      of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal
      Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Suffolk County.
      
      The DEM was produced from the following lidar data sets:
      1. 2014 NGS Coastal Mapping Program Topobathy Lidar: Post-Sandy Atlantic Seaboard
      2. 2014 Long Island, NY - Sandy Lidar
      
      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 3 meters.

Tags: bathymetry/topography, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, land surface, lidar, national ocean service, new york, noaa, north america, office of coastal management, sea level changes, sea level rise, suffolk county, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for South Carolina based on 2000 Census Block Groups

This data depicts the social vulnerability of South Carolina 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, national ocean service, noaa, north america, office of coastal management, population, population estimates, poverty levels, resilience, social behavior, social vulnerability index, socioeconomics, south carolina, u.s. department of commerce, united states, united states of america, vulnerability, vulnerability levels/index
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1997 Fall West Coast NOAA/USGS/NASA  Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected in the fall of 1997 and covers the states of California, Oregon, and Washington.
Collection was done prior to expected El Nino winter storms.
Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground
elevation and coastal topography. The laser emits laser beams at high frequency and is directed downward at the
earth's surface through a port 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 aircraft travels over the beach at approximately 60 meters per second while surveying from
the low water line to the landward base of the sand dunes.

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: bathymetry/seafloor topography, beach, california, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, oregon, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
R-Factor for the Island of Oahu

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 Agriculture Handbook Number 703 (Renard et al.,1997). Lines connecting points of equal rainfall ersoivity are called isoerodents. The iserodents plotted on a map of the Island of Oahu were digitized, then values between these lines were obtained by linear interpolation. The final R-Factor data are in raster GeoTiff format at 30 meter resolution in UTM, Zone 4, GRS80, NAD83.

Tags: agriculture, central pacific ocean, coastal zone, continent, diamond head, doc/noaa/nos/ocm, earth science, environmental monitoring, erosion, erosion/sedimentation, hawaii, hawaiian islands, honolulu, kaneohe, land surface, national ocean service, noaa, north america, oahu, ocean, office of coastal management, opennspect, pacific ocean, pearl city, pearl harbor, 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, wahiawa, waialua, waianae, waikiki
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Creating an Alliance of Scientists and Educators in Virginia - NERRS/NSC(NERRS Science Collaborative)

Education specialists from the Chesapeake Bay National Estuarine Research Reserve in Virginia and the Virginia Institute of Marine Science's Marine Advisory Services are collaborating to create the Virginia Scientists and Educators Alliance. Modeled after a similar network formed in North Carolina, the alliance will connect educators and researchers through a variety of networking opportunities. This includes graduate student training in lesson plan development, the development and piloting of those lesson plans, and sharing of all lesson plans developed via a lesson plan expo in the spring of 2017. This science transfer project was funded by NOAA through the National Estuarine Research Reserve System Science Collaborative to promote the use of science. It did not produce any new data.

Tags: biosphere, chesapeake bay nerr, coastal, doc/noaa/nos/ocm, earth science, earth science services, ecosystems, education/outreach, marine ecosystems, national ocean service, nerrs, noaa, office of coastal management, u.s. department of commerce, va
Organization: National Oceanic and Atmospheric Administration, Department of Commerce