AndreaBozzo/ceres-open-data-index huggingface dataset:
2011 Georgia Lidar DEM: Burke Richmond Lincoln Columbia Counties

TASK NAME:4 GA Counties of Elevation Data
NOAA Contract No. EA133C11CQ0010
Requisition No. NCNP0000-11-02615
Woolpert Order No. 71511
CONTRACTOR: Woolpert, Inc.
LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The LiDAR systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 1.0 meter. The final products include full classified LAS, hydrologically flattened four (4) foot pixel raster DEM's of the bare earth surface in ESRI Floating Point Grid Format (ArcGRID DEMs), and hydrologically flattened breaklines. Rasters were later convert to GeoTIFF format with vertical units of feet.
Original contact information: 
   Contact Org: National Oceanic and Atmospheric Administration (NOAA)
   Title: Coastal Services Center
   Phone: (843) 740-1200

Tags: coastal elevation, coastal processes, continent, dems, doc/noaa/nos/ocm, earth science, georgia, land surface, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Drone the NERRS: Assessing the Efficacy of a Drone-based Coastal Wetland Monitoring Protocol Across Five Biogeographic Regions - NERRS/NSC(NERRS Science Collaborative)

This project promoted access to drones for a wider community of users by transferring a protocol for drone-based wetland monitoring and evaluating its efficacy in assessing and monitoring emergent vegetation.

The Project
Visualizing changes in emergent vegetation due to storm events, climate change, and other anthropogenic stressors is integral to assessing the health of wetland ecosystems. Ground-based monitoring - a commonly used method to assess habitat health - can be labor intensive and damaging to vegetation in sensitive habitats, and can miss key differences in small-scale heterogeneous habitats. Satellite imagery offers solutions to the challenges of labor and potential damage to sensitive habitats but is expensive and sacrifices the high-resolution details needed for small-scale analysis. Uncrewed aerial systems (UAS), also known as drones, offer a lower cost, less invasive alternative to traditional ground-based monitoring for emergent vegetation that also provides higher resolution images than satellite-based imagery. "Drone the SWMP", a 2020 NERRS Science Collaborative catalyst project, used UAS to monitor wetlands in six reserves, then assessed and developed a standardized protocol that includes equipment operation, image processing, and image analysis.

This project built on the work of Drone the SWMP by transferring their protocol for monitoring coastal wetlands and evaluating its efficacy in assessing and monitoring emergent vegetation across more reserves representing a wider range of biogeographic regions. Project activities included: beginning the development of a community of practice centered around drone use in the NERRS; qualitative assessment of the existing drone monitoring protocol; and production of a whitepaper to share the information gathered over the course of the project with the wider NERRS community.

Tags: apalachicola, chesapeake bay, doc/noaa/nos/ocm, fl nerr, great bay, habitat mapping, me nerr, monitoring, national ocean service, nerrs, nh nerr, noaa, office of coastal management, or nerr, remote sensing, rookery bay, south slough, swmp, u.s. department of commerce, va nerr, wells
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
From Past to Present: Ecosystem Services and People of the Guana Peninsula - NERRS/NSC(NERRS Science Collaborative)

For over 6,000 years, people have called the Guana Peninsula home, largely due to the bountiful resources of the estuary. These resources, both natural and cultural, are at risk now more than ever due to threats from climate change impacts and development. The GTM Research Reserve directly manages the
southern portion of the Guana Peninsula, providing stewardship, visitor access, and, along with the Gullah Geechee Cultural Heritage Corridor Commission and the National Park ServiceÃÂ¢ÃÂÃÂs Timucuan Ecological and Historic Preserve, education and interpretive programming. This project aimed to better
understand how resources were used in the past and how they currently are being used by communities to ensure responsive resource management and relationship building with visitors, descendants, and other community stakeholders and for program development to expand the narrative of the Gullah/Geechee in northeast Florida.

The project used a combination of archaeological investigations and applied anthropological methods and is the inaugural case study of the North American Heritage at Risk (NAHAR) research pipeline for addressing heritage at risk and engaging a variety of stakeholders. The project produced predictive models of climate change impacts, 38 site assessments for 19 archaeological sites, five new archaeological sites documented, stakeholder survey and follow up interview analysis, a technical report that describes the results of fieldwork, engagement of the public and outreach products, and three-dimensional models of artifacts, shorelines, and point cloud comparisons of shorelines over time. The modeling, monitoring, meeting, and methodizing data are available for further interpretation of the ecosystem services of the Guana Peninsula and to inform management strategies for cultural and environmental resources to best fit the needs of the Reserve and the surrounding community.

Tags: 3d digital heritage, 3d models, archaeological areas, artifacts, assessment, atmospheric/ocean indicators, climate change, climate indicators, coastal heritage, coastal processes, community, doc/noaa/nos/ocm, dsas, earth science, fl, guana river wildlife management area, guana tolomato matanzas nerr, heritage at risk, hms florida, human dimensions, human settlements, inundation, monitoring, national ocean service, nerrs, noaa, oceans, office of coastal management, sea level rise, shell bluff landing, shoreline analysis, shoreline displacement, slamm, survey, u.s. department of commerce, wright's landing
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2018 NOAA National Geodetic Survey Topobathy Lidar DEM (void): Potomac River, Chesapeake Bay

These data were collected by Quantum Spatial, Inc. (QSI) for the National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Division (RSD), Coastal Mapping Program (CMP) using a Riegl VQ880G system. The Initial Award lidar data were acquired from 20180215 - 20180417 in eighteen missions. The dataset includes topobathy data in a LAS 1.2 format file with the following classification: unclassified (1), ground (2), noise (7), overlap default (19), overlap ground (20), overlap water column (21), water column (25), bathymetric bottom or submerged topography (26), submerged feature (29), submerged aquatic vegetation (30), temporal bathy bottom (31), and unclassified withheld/edge clip (129) in accordance with project specifications. The contracted project consists of approximately 309.125 square miles (197,840 acres) of the states of Virginia and Maryland covering the confluence of the Potomac River and the Chesapeake Bay. To ensure complete coverage and adequate point densities around survey area boundaries, the Area of Interest (AOI) was buffered by 100m. The full Initial Award project area including buffered area is approximately 478.151 square miles (306,017 acres). LAS files were compiled by 500 m x 500 m tiles. The final classified LiDAR data were then transformed to orthometric heights and used to create topobathymetric DEMs in IMG format with 1m pixel resolution.

Tags: 20180215, 20180417, bathymetry, bathymetry/seafloor topography, chesapeake bay, coastal elevation, coastal processes, continent, dems, doc/noaa/nos/ocm, earth science, maryland, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, u.s. department of commerce, united states of america, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Adapting Salt Marsh Vulnerability Assessment Methodologies to Southeastern Salt Marshes - NERRS/NSC(NERRS Science Collaborative)

The Project
Home to roughly one third of the Southeast's estuarine salt marsh acreage, South Carolina faces escalating local and state concerns over marsh vulnerability due to rising sea levels. In 2021, the ACE Basin and North Inlet Ã¢ÂÂ Winyah Bay (NI-WB) NERRs used capacity building funds to convene a community of managers, regulators, and scientists interested in identifying appropriate methods to assess salt marsh health in South Carolina. As part of this effort, participants expressed interest in exploring appropriate marsh vulnerability metrics Ã¢ÂÂ and the associated thresholds that inform decision making Ã¢ÂÂ as a possible first step toward understanding the impacts of increasing rates of sea level rise on marshes and developing appropriate restoration strategies.

While a variety of marsh vulnerability metrics have been developed nationally, their direct applicability to Southeastern marshes posed a knowledge gap, potentially due to the sparse vegetation densities that are common across the region. Knowing that several informative metrics could be derived from remotely sensed data, the teamÃ¢ÂÂs approach utilized satellite and aerial imagery, unmanned aerial systems (UAS), and in situ observation to assess existing marsh vulnerability metrics at multiple spatial scales at the two South Carolina reserves. In exploring the applicability of the existing metrics and thresholds, the team found that the unique nature of South CarolinaÃ¢ÂÂs salt marshes Ã¢ÂÂ largely Spartina alterniflora monocultures that vary spatially and temporally in terms of how sparsely vegetated or covered in water they are Ã¢ÂÂ result in higher Unvegetated to Vegetated Ratio (UVVR) thresholds, variability in Marsh Resilience to SLR (MARS), and variability in Normalized Difference Vegetation Index (NDVI) calculations. These findings have major implications for marsh management recommendations as decision makers use these metrics to estimate whether marshes are keeping pace with rates of sea level rise. In particular, the imagery and analyses produced through this project have demonstrated the unique nature of southeastern salt marshes which needs to be considered when evaluating South Carolina marshes.

Tags: ace basin nerr, biosphere, coastal, doc/noaa/nos/ocm, earth science, ecosystems, habitat mapping, habitat restoration, marine ecosystems, national ocean service, nerrs, noaa, north inlet-winyah bay nerr, office of coastal management, remote sensing, salt marsh, sc, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2019 NOAA Lidar: Padilla Bay NERR and Skagit River Delta, WA

This dataset is a LiDAR (Light Detection and Ranging) point cloud of the coastal tidal parts of Skagit and Snohomish Counties in WA State. The National Oceanic and Atmospheric Administrationâs Office for Coastal Management contracted with Tetra Tech to acquire and process airborne LiDAR over an area of about 186 square miles. Data was to be acquired within a 2 hour window of low tide. Deliverables included classified LiDAR point clouds, breaklines and digital elevation models (DEM). LiDAR data was acquired on 13 and 14 of August 2019. The coastal area was covered in one flight on 8/14 while the inland area was covered on 8/13. The coastal flight took place on 8/14 with a tide window between -0.7 and +0.5 foot. For the airborne LiDAR flight Tetra Tech subcontracted with Eagle Mapping. The data was acquired with a Riegl LMS VQ780i sensor. A ground control survey was conducted to collect calibration points and check points. For the ground survey, Tetra Tech contracted with Compass Data. The LiDAR data and derivative products were to be based on the USGS LiDAR Base Specifications. The coordinate reference system is UTM Zone 10N meters, NAD83(2011). The vertical datum is NAVD88 with Geoid12B.

Tags: airplane, bathymetry, bathymetry/seafloor topography, coastal bathymetry, coastal elevation, coastal processes, continent, 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, terrain elevation, topography, u.s. coastline, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
HiTIDER: History and Topography to Improve Decision-making for Estuary Restoration - NERRS/NSC(NERRS Science Collaborative)

By engaging 30 reserves from across the country in habitat mapping, this project highlighted differing trends among regions and estuarine habitat types. Working with local and national end users, including the NERRs and a variety of organizations interested in understanding estuarine habitat change, the project built a shared understanding of trajectories of change to design and build support for future restoration strategies. The habitat mapping included the following two components conducted at each of 30 reserves: 1) Elevation-based mapping, using NOAA-generated elevation models and tidal datums to estimate the potential extent of the estuary, and identify areas no longer subject to tidal influence that could be restored in the future, and 2) Historical mapping, using the oldest T-sheet (topographic map) or Lake Survey map to examine extent and distribution of habitats in one smaller area of interest on/near each reserve, and document how that has changed over time. The project generated various products for each of the 30 reserves: technical reports detailing findings, historical maps available as raw image files, and geodatabases in local coordinates with both elevation-based and historical mapping analyses.

Tags: doc/noaa/nos/ocm, elevation-based mapping, habitat change, historical ecology, historical map, lake survey, national ocean service, nerrs, noaa, office of coastal management, t-sheet, topographic sheet, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Florida, Keys

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 Keys 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 Miami-Dade and Monroe Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2015 Miami-Dade County, Florida Lidar
      2. 2015 NOAA NGS Topobathy Lidar: Dry Tortugas
      3. 2018 - 2019 NOAA NGS Topobathy Lidar Hurricane Irma: Miami to Marquesas Key, FL
      
      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, doc/noaa/nos/ocm, earth science, elevation, flooding, florida, inundation, land surface, lidar, light detection and ranging, miami-dade county, monroe county, national ocean service, noaa, north america, oceans, office of coastal management, 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
Buried or Fried? Understanding Sedimentation and Temperature Effects - NERRS/NSC(NERRS Science Collaborative) Native Species in the South Slough Reserve and Coos Estuary, Oregon

This project addresses linkages between temperature and sedimentation and ecosystem outcomes using both observational and modeling approaches. The team leveraged the development of a realistic, validated hydrodynamic model of the Coos estuary and extended previous research effort to analyze estuary conditions over large spatial scales. The study found a striking variation in sediment deposition and erosion across the estuary that was not a simple function of distance from estuary mouth. In addition, the model suggests that high estuary temperatures coincide with eelgrass die-off while high levels of sediment accretion result in less successful oyster restoration. Model results have allowed the team and its partners to make more precise recommendations for ongoing oyster and eelgrass restoration efforts and develop user-identified outputs including educational programs.

To investigate sedimentation patterns, the team combined monitoring data from the NERRS System-wide Monitoring Program (SWMP) and Sentinel Sites with new sediment core data and new numerical model simulations. Long cores were collected to measure sediment accumulation over a longer time period (on the order of 100 years). Shorter cores were collected to obtain a yearly cycle of sediment deposition. 
A second focus of the project was to add water temperature to the existing hydrodynamic model, which was previously simulating only salinity and sediment (and sea level). Temperature is an important variable to team  partners interested in ecosystems and biota. In addition, the model was run for a longer period, simulating three full years of the estuary hydrodynamics, 2014-2016, which will allow more insight into processes affecting native species and prove more useful to stakeholders.

Tags: animals/invertebrates, biological classification, bivalves, coos bay, doc/noaa/nos/ocm, earth science, eelgrass, modeling, mollusks, national ocean service, nerrs, noaa, office of coastal management, or, oysters, sediment, south slough nerr, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2017 NOAA/MCP Topobathy Lidar DEM: Blue Hill Bay, ME - Riegl Sensor

Fugro was contracted in July 2017 by the State of Maine Department of Marine Resources (SMDMR), Maine Coastal Program (MCP), and the NOAA Office for Coastal Management (OCM) to conduct an Airborne LiDAR Bathymetry (ALB) survey in the vicinity of Blue Hill Bay in Maine, and to deliver fully processed and verified hydrographic survey data.The ALB survey was conducted with the SHOALS-1000T and Riegl VQ-820-G lidar systems in a concurrent acquisition. The SHOALS system, with a high power laser, provided the better probability for deep sounding detections at a reduced point density (about 0.15 pts/m2); whilst the Riegl VQ-820-Q provided high density coverage (up to 8.5 pts/m2) but at reduced depth detection.

This metadata record describes the bare earth, 1 meter digital elevation model (DEM) created from the topographic and bathymetric LiDAR elevations generated from data collected with the Riegl VQ-820-Q LiDAR system along Blue Hill Bay on the coastline of Maine. These files contain topographic and bathymetric LiDAR elevations generated from data collected with the Riegl VQ-820-G LiDAR system along Blue Hill Bay on the coastline of Maine. Data were collected by Fugro for NOAA OCM. The Riegl VQ-820-G system is a a bathymetric LiDAR sensor for use in coastal mapping and charting activities because the laser's ability to penetrate the water column and detect targets up to 1 time the Secchi disk depth. Survey coverage is based on a delimiting polygon provided by NOAA OCM, which envelopes the area between the 0 m contour (NAVD88) down to approximated -10 meters. Riegl VQ-820-G data were processed on Riegl RiProcess software for: point cloud generation, boresight calibration, water surface classification and modeling, refraction correction; and exported with a minimal classification LAS format v1.4 for delivery. Additional classification was performed after delivery to extract ground and bathymetric points. 

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.

A link to custom download the bare earth DEM that was created from the concurrently collected topographic and bathymetric data (collected with the SHOALS-1000T lidar system) is provided in the URL section of this metadata record.

Tags: airplane, bathymetry/seafloor topography, beach, blue hill bay, coastal elevation, coastal processes, continent, dem, dems, digital elevation model, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, light detection and ranging, maine, national ocean service, national oceanic and atmospheric administration, noaa, north america, oceans, office of coastal management, point data, sea floor, seafloor topography, terrain elevation, topography, u.s. department of commerce, u.s. east coast, united states of america, vertical location, vq-820-g
Organization: National Oceanic and Atmospheric Administration, Department of Commerce