AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Florida, SE

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 Florida, SE 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 Broward, Collier, Hendry, Martin, Monroe, Miami-Dade, and Palm Beach Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2018 Florida Peninsular - Collier
      2. 2017 Everglades FL Lidar
      3. 2018 West Everglades Topobathy NP FL Lidar
      4. 2018 Southeast FL Lidar (B1, B2, TL)
      5. 2018 Florida Peninsular FDEM - Hendry
      6. 2018 Florida Peninsular FDEM - Martin
      7. 2018 Miami-Dade County, Florida Lidar
      8. 2015 Miami-Dade County, Florida Lidar
      9. 2018 - 2019 NOAA NGS Topobathy Lidar Hurricane Irma: Miami to Marquesas Keys, FL
      10. 2019 Florida Peninsular FDEM - Palm Beach
      11. 2017 Palm Beach County, Florida Lidar
      12. 2014 Seminole Tribe Big Cypress Reservation 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: airplane, bathymetry/topography, broward county, coastal elevation, coastal processes, collier county, continent, dem, digital elevation model, doc/noaa/nos/ocm, earth science, elevation, flooding, florida, hendry county, inundation, land surface, lidar, light detection and ranging, martin county, miami-dade county, monroe county, national ocean service, noaa, north america, oceans, office of coastal management, palm beach county, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2023 NOAA USGS Lidar: Hawaii (Big Island)

Original Dataset Product: Processed, classified lidar point cloud data tiles in LAZ 1.4 format.

Original Dataset Geographic Extent: 
HI_NOAAMauiOahu_3:  The work unit covers approximately Approximately 306 square miles on the eastern side of the big island of Hawaii.

Original Dataset Description: 
HI_NOAAMauiOahu_3 (Big Island)
The HI_NOAAMauiOahu_3_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 5 (EPSG 6635), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. Lidar data was delivered as processed LAZ 1.4 files formatted to 3,450 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons.

Original Dataset Ground Conditions: 
HI_NOAAMauiOahu_3 (Big Island)
Lidar was collected from February 14, 2023, through March 15, 2023 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

Tags: airplane, central pacific ocean, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, hawaii, hawaii island, hawaiian islands, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, ocean, oceans, office of coastal management, pacific ocean, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2022 NOAA Topobathy Lidar DEM: Morro Bay, CA

Morro Bay 2022 topobathymetric Lidar area data were collected by NV5 Geospatial (NV5) using a Riegl VQ880GII system. Morro Bay 2022 data acquisition occurred on 20220614 in two missions. The Morro Bay 2022 dataset includes topobathymetric data in a LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards:
			1   - unclassified
			1O  - edge clip
			2   - ground
			7W  - low noise
			9   - NIR water surface
			18W - high noise
			40  - bathymetric bottom or submerged topography
			41  - Green water surface
                        43  - Submerged object, not otherwise specified (For Morro Bay, oyster reefs have this classification, even though exposed at 
                                 low tide)
			45  - water column
This data set also includes lidar intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area covers approximately 4,215 acres along the south central Pacific Coast of California near the town of Los Osos. LAS files were compiled in 500 m x 500 m tiles clipped to the project boundary. The final classified Lidar data were used to create topobathymetric DEMs in GeoTIFF format with 1m pixel resolution. This delivery of the Morro Bay 2022 dataset represents an area covering 96 - 500 m x 500 m DEM tiles clipped to the project boundary. One tile (MRR22_088) did not have any valid bathymetric bottom or ground points and so it did not produce a valid dem. This Project was completed in partnership between NOAA OCM and the NEP.
In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

Tags: airplane, bathymetry, bathymetry/seafloor topography, california, coastal bathymetry, coastal elevation, coastal processes, continent, dems, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Florida, SW

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 Florida, SW 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 Charlotte, Collier, Glades, Hendry, Miami-Dade, Monroe, and Palm Beach Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2018 Florida Peninsular FDEM - Charlotte
      2. 2018 Florida Peninsular - Collier
      3. 2017 Everglades FL Lidar
      4. 2018 West Everglades Topobathy NP FL Lidar
      5. 2018 Southeast FL Lidar (B1, B2, TL)
      6. 2018 Southwest FL Lidar (A, B, B TL)
      7. 2018 Florida Peninsular FDEM - Glades
      8. 2018 Florida Peninsular FDEM - Hendry
      9. 2015 Miami-Dade County, Florida Lidar
      10. 2017 Palm Beach County, Florida Lidar
      11. 2014 Seminole Tribe Big Cypress Reservation 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: airplane, bathymetry/topography, charlotte county, coastal elevation, coastal processes, collier county, continent, dem, digital elevation model, doc/noaa/nos/ocm, earth science, elevation, flooding, florida, glades county, hendry county, inundation, land surface, lidar, light detection and ranging, miami-dade county, national ocean service, noaa, north america, oceans, office of coastal management, palm beach county, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2017 NOAA NGS Topobathy Lidar DEM: St. Jeromes Creek, MD

This data was collected by NOAA using a Riegl VQ880G sensor.  The data was acquired August 5, 2017.  The data includes topobathy data in LAS 1.2 format classified as created,unclassified (1); ground (2); topographic noise (7); bathymetric noise (22); water column (25); bathymetric bottom (26); water surface (27); International Hydrographic Organization S-57 object; not otherwise specified (30), in accordance with project specifications.  The project consists of approximately 34 square miles of data along the shores of St. Jeromes Creek.  This dataset contains 342 500 m x 500 m lidar tiles.

Tags: airplane, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, sea floor, seafloor topography, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Improved Understanding of Sediment Dynamics for the Coos Estuary - NERRS/NSC(NERRS Science Collaborative)

This project combined observations with the development of a hydrodynamic model to better understand and predict water and sediment flows in the Coos estuary. The project team collected time-series data of water properties including temperature and salinity, velocity, sediment type, and sediment concentration at monitoring stations in the Coos estuary, including the first bathymetric dataset to cover the entire estuary. These were combined with existing time series and maps. Using this data, the team developed a validated hydrodynamic model that skillfully reproduced observed water properties and sediment dynamics in the estuary over a range of forcing conditions (e.g., river discharge, winds, tides). The team then used the model to run two perturbation experiments that analyzed a proposed deepening and widening of the estuaryâs main navigation channel and examined historic estuary conditions. The project provided users with a dynamic picture of estuary conditions and habitat, and has informed an update to the estuarine management plan and fisheries habitat maps, improved the success of oyster restoration projects, and increased data efficiency among community stakeholders.

Tags: aquatic sciences, atmospheric/ocean indicators, biosphere, circulation, climate indicators, coastal, coos bay estuary, doc/noaa/nos/ocm, earth science, earth science services, ecosystems, environmental governance/management, fisheries, human dimensions, inundation, land surface, landscape, marine ecosystems, models, national ocean service, nerrs, noaa, oceans, office of coastal management, or, reclamation/revegetation/restoration, sea level rise, sediment, south slough nerr, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1950 - 2023 NOAA Seamless Topobathy DEM (Compiled 2023): Kachemak, Point Hope, Teller, AK

NOAA Seamless Topobathy Digital Elevation Model Pilot Incorporating Satellite-Derived  Bathymetry - Kachemak, Teller, Point Hope, Alaska, project number 1305M223FNCNP0283DPR. Seamless topographic-bathymetry models were produced for three AOIs along the Alaskan coast, integrating multiple source datasets including bathymetric lidar, topographic lidar, multibeam and singlebeam echosounder, IFSAR, and satellite-derived bathymetry (SDB). Satellite-derived bathymetry was produced using empirical and physics-based radiative transfer models, derived from Maxar and Planet Labs mutlispectral imagery. All data sources were adjusted from MLLW to NAVD88 before integrating to a weighted grid, with weights assigned based on quality and data currency. The weighted grid was then interpolated utilizing Generic Mapping Tools (GMT) surface module, leveraging a spline-in-tension interpolation. DEMs were delivered at 2m resolution. Each DEM delivery includes ancillary files including an in situ source map raster, a known issue polygon feature class, source imagery utilized for SDB production, the individual SDB rasters integrated with the topographic-bathymetry model.

Kachemak AOI covers approximately 1012 km2
Point Hope AOI covers approximately 2329 km2
Teller AOI covers approximately 1160 km2

Tags: airplane, alaska, bathymetry, bathymetry/seafloor topography, coastal bathymetry, coastal elevation, coastal processes, continent, dems, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 NOAA/USGS Lidar: French Frigate Shoals, NWHI

The U.S. Geological Survey (USGS) contracted with Hawaii-based Aerial Surveying, Inc. to collect lidar-derived elevation data over the low-lying areas within the northwestern Hawaiian Islands (NWHI) during the summer of 2010. A separate contract issued to Aerial Surveying, Inc. by the National Oceanic and Atmospheric Administration (NOAA) funded the lidar data processing and elevation data product development phases of the project. Lidar data provide high resolution digital elevation models that are used for many applications, including but not limited to sea level rise modeling, habitat assessments, and tsunami inundation modeling. In April 2011, NOAA Papahanaumokuakea Marine National Monument and NOAA Office for Coastal Management deployed a survey crew to the NWHI to collect high accuracy point data to validate the 2010 lidar data. The survey crew used survey-grade Global Positioning System (GPS) receivers to collect high accuracy elevation points.  
      
      This metadata covers the information for French Frigate Shoals.

      This dataset contains lidar point clouds in LAS 1.2 format, classified according to the ASPRS LAS 1.2 class table.

      The following are the equipment used to create the lidar data sets. 

      Aircraft: Beechcraft Queen Air
      Lidar Systems: Riegl 140 and 240
      
      Accuracy statements are based on areas of open terrain, with points classified as ground. The accuracy of each point is expected to meet the vertical accuracy standard, derived products may be less accurate in areas of extreme terrain and dense vegetation due to a lesser number of points defining the ground in these areas. 

      Classified data sets such as this one may have varying posting due to some pulses not reaching the ground.

      This work was conducted under permit number PMNM-2010-033 as approved by NOAA, the U.S. Fish and Wildlife Service (USFWS), and the State of Hawaii, and acknowledged by Dr. Charles L. Littnan of NOAA's Pacific Islands Fisheries Science Center.
      
Original contact information: 
   Contact Name: Lidar Manager
   Contact Org: Aerial Surveying Inc.
   Title: Lidar Manager
   Phone: (808) 327-9439

Tags: 2010, bare-earth, class 2: ground, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, hawaii, july, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, 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
U.S. Interagency Elevation Inventory (USIEI) - Data Download

The U.S. Interagency Elevation Inventory (USIEI) displays high-accuracy topographic and bathymetric data for the United States and its territories. The project is a collaborative effort between the National Oceanic and Atmospheric Administration, the U.S. Geological Survey, the Federal Emergency Management Agency, the U.S. Department of Agriculture - Natural Resources Conservation Service and U.S. Forest Service, the National Park Service, and the U.S. Army Corps of Engineers. This resource is a comprehensive, nationwide listing of known high-accuracy topographic data, including lidar and IfSAR, and bathymetric data, including NOAA hydrographic surveys, multibeam data, and bathymetric lidar. 

This zip file contains the attribute information and footprints about the data sets that are displayed in the Topographic Lidar, Topobathy Shoreline Lidar, IfSAR Data, and Bathymetric Lidar layers in the USIEI viewer. This does not include the elevation data itself. The data are provided in Esri file geodatabase format (gdb) and in the open format of OGC GeoPackage (gpkg). The data is also available via this map service: https://coast.noaa.gov/arcgis/rest/services/USInteragencyElevationInventory/USIEIv2/MapServer. 

The data is updated quarterly. The information provided for each elevation data set includes many attributes such as vertical accuracy, point spacing, and date of collection. A direct link to access the data or information about the contact organization is also available through the inventory. The footprints in this data set are generalized to represent the coverage of the collection. If the exact data coverage is needed, please contact the data provider for an authoritative footprint. The fields in the gdb and gpkg are in four tables. The fields in each table are listed in the Entity Attribute Overview field.

Tags: american samoa, atlantic ocean, bathymetry, bathymetry/seafloor topography, bathymetry/topography, caribbean sea, central pacific ocean, continent, doc/noaa/nos/ocm, earth science, great lakes, guam, gulf of america, gulf of mexico, hawaiian islands, high-accuracy, high-resolution, ifsar, inventory, land surface, lidar, micronesia, multibeam, national ocean service, noaa, north america, north atlantic ocean, northern mariana islands, ocean, oceans, office of coastal management, pacific ocean, parentrecords, puerto rico, seafloor topography, spectral/engineering, terrain elevation, topobathy, topography, u.s. department of commerce, united states of america, virgin islands, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Florida, West 3

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 Florida, West 3 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 Dixie, Gilchrist, Lafayette, Levy, and Taylor Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2018 Florida Peninsular FDEM - Dixie
      2. 2018 Florida Peninsular FDEM - Gilchrist
      3. 2018 Florida Peninsular FDEM - Lafayette
      4. 2018 Florida Peninsular - Levy
      5. 2018 Florida Peninsular FDEM - Taylor

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