AndreaBozzo/ceres-open-data-index huggingface dataset:
2017 NOAA/MCP Topobathy Lidar: Blue Hill Bay, ME - SHOALS 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 VQ-820-Q provided high density coverage (up to 8.5 pts/m2) but at reduced depth detection.

This metadata record describes the topographic and bathymetric LiDAR elevations generated from data collected with the SHOALS-1000T LiDAR system along Blue Hill Bay on the coastline of Maine. Data were collected by Fugro for NOAA OCM. The SHOALS system is 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 2.5 times the Secchi disk depth. Survey coverage was based on a delimiting polygon provided by NOAA OCM, which envelopes the area between the 0 m contour (NAVD88) down to approximated -10 meters. An additional horizontal buffer of 100 meters from the 0 m contour expanded the survey area coverage to include the adjacent emerged topography. SHOALS data have been processed on Optech SHOALS-GCS and QPS Fledermaus software packages for: auto-processing; calibration, cleaning and editing, validation, basic classification, and exported to LAS format. 

In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

A topographic and bathymetric reflectance raster are also available. These data are available for download at the link provided in the URL section of this metadata record.

A link to custom download the concurrently collected topographic and bathymetric data (collected with the Riegl VQ-820-G 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, 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, shoals, terrain elevation, topography, u.s. department of commerce, u.s. east coast, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1999 Post Hurricane Dennis NOAA/USGS/NASA  Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected in 1999 after Hurricane Dennis and before Hurricane Floyd along the outer banks of North Carolina. 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, 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
Seagrasses

These data show aquatic vascular vegetation beds dominated by submerged, rooted, vascular species or submerged or rooted floating freshwater tidal vascular vegetation. This is not a complete collection of seagrasses on the seafloor, nor are the locations to be considered exact. The presence and location of the seagrasses have been derived from multiple state and federal sources.

Tags: alabama, alaska, aquatic vegetation, atlantic ocean, benthic, brackish, california, cnmi, commonwealth of the northern, connecticut, continent, doc/noaa/nos/ocm, earth science, east coast, eelgrass, environmental governance/management, florida, freshwater, guam, gulf of america, gulf of mexico, herbaceous, human dimensions, louisiana, macroalgae, maine, marinecadastre, maryland, massachusetts, mississippi, national ocean service, new hampshire, new jersey, new york, noaa, north america, north atlantic ocean, north carolina, ocean, oceans, office of coastal management, oregon, oyster bed, rhode island, seagrass, surfgrass, territorial sea, texas, tidal, turf algal bed, u.s. department of commerce, united states of america, vascular, virginia, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Evaluating Whether Oyster Aquaculture Can Help Restore Water Quality - NERRS/NSC(NERRS Science Collaborative)

The project team established an experiment that mimicked commercial aquaculture practices and allowed for a robust comparison of nitrogen removal rates from three commonly used gear types: floating bags of oysters, oyster condos suspended in midwater, and bottom cages of oysters. All gear was deployed in the same environmental setting (Waquoit Bay, Falmouth, MA) and maintained by the Town of Falmouth in a manner that a typical grower would follow. The growing systems were maintained for two full growing seasons (2018 and 2019) and compared to a nearby control site. Every two weeks during the growing season, the team conducted a series of measurements to provide a robust estimate of nitrogen fluxes and microbial activity below each of the aquaculture operations. Measurements included: (1) nutrient analyses of sediment, porewater and bottom water samples, (2) genetic sequencing of RNA and DNA extracted from sediment samples to determine the presence and activity level of certain bacteria; and 3) measurements of N2 fluxes from sediment cores placed in flux chambers to measure N2 production rates. All three oyster growing methods enhanced nitrogen removal relative to the control site. However, gene expression data indicate that nitrogen retention may be induced under some gear, particularly after the end of July under bottom cages, and to a lesser extent other gear types.

Tags: 16s hypervariable, ammonia, aquaculture, biosphere, continent, crassostrea virginica, denitrification, doc/noaa/nos/ocm, earth science, eastern oysters, ecosystems, estuary, gene expression, illumina pair-end, itag, lux chambers, ma, marine ecosystems, massachusetts, metatranscription, n2 production, national ocean service, nerrs, nitrate, noaa, north america, office of coastal management, oyster farms, rna-seq, rt-qpcr, sedimentary carbon and nitrogen, shellfish, u.s. department of commerce, united states of america, waquoit bay nerr
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2021 NOAA Bathymetric Lidar: Sleeping Bear Dunes National Lakeshore, MI

Woolpert, Inc. was contracted to acquire and process high-resolution topo-bathy lidar to support mapping and modeling needs at the Sleeping Bear Dunes National Lakeshore (SLBE), which will be used for the creation of new benthic mapping products using the Coastal and Marine Ecological Classification Standard (CMECS). Woolpert sub-contracted NV5 to acquire the lidar data using their HawkEye 4X topo-bathy lidar sensor, to provide high density topo lidar with an ANPS of greater than or equal to 1 pulse per square meter with a vertical accuracy of less than or equal to a 15 cm RMSE for the bathymetric lidar.
Woolpert also collected topographic ground control and check points covering some extended survey lines.

This dataset is the classified lidar point cloud in LAS v. 1.4 format. collected on August 31 and September 3, 2021 using a Leica HawkEye4X sensor. Classifications are as follows: 1 - Unclassified, 2 - Ground, W7 - Low Point (Noise), 9 - Water Surface Topo, W18 - High Noise, 40 - Bathymetric Point, 41 - Water Surface Bathy, S42 - Derived Water Surface, 43 - Submerged Object, W45 - No Bottom Found At

In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data 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, beach, coastal bathymetry, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, michigan, national ocean service, noaa, north america, oceans, office of coastal management, sea floor, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Building Capacity for Reserves to be Motus Wildlife Tracking Leaders - NERRS/NSC(NERRS Science Collaborative)

This multi-reserve project led by the ACE Basin Reserve convened a series of workshops to provide guidance and assistance on siting, construction, installation, and interpretation of Motus sites at participating reserves.

The project
Protecting critical habitats for migratory species is increasingly important as sea level rise and climate change reduce the availability and diversity of habitats in the hemisphere. The National Estuarine Research Reserve System (NERRS) operates alongside protected and managed landscapes that provide refuge for a wide array of species that have been deemed research and conservation priorities. Reserves also support a diversity of outreach and education programs that promote environmental stewardship and highlight the importance of protecting habitats for these species.

In 2018, the ACE Basin Reserve received private funding to implement a Motus receiver station at partner State Park, which sparked interest from potential collaborators. The Motus Wildlife Tracking System is an open-source, international network of community hosted radio-telemetry receivers and wildlife researchers designed to investigate a wide variety of wildlife movement questions. Volunteer partners host and operate receiving stations across the world that autonomously listen for flying migratory animals equipped with transmitters called nanotags. Researchers rely on the receivers for movement data for a diversity of tagged wildlife, including birds, bats, and insects.

Through this project, the ACE Basin Reserve facilitated the implementation and expansion of Motus networks in the Mid-Atlantic, West Coast, and Gulf regions. Participants met through a combination of virtual and in-person workshops designed to meet the needs of partners and intended users in the given region. Partners of all four reserves gave examples of unique ideas to reduce construction costs, such as buying components in bulk when constructing multiple towers and splicing wires in-house. Presentations discussed alternative ways to use Motus towers, such as smaller scale studies to better understand resident population dynamics and species behavior.

Tags: ace basin nerr, aquatic ecosystems, biosphere, ca, climate change, doc/noaa/nos/ocm, earth science, ecosystems, estuarine habitat, estuarine wetlands, grand bay nerr, hudson river nerr, motus, ms, national ocean service, nerrs, noaa, ny, office of coastal management, san francisco bay nerr, sc, shorebird habitat, u.s. department of commerce, wetlands, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Understanding the Role Coastal Marshes Play in Protecting Communities from Storm Surge and Flooding - NERRS/NSC(NERRS Science Collaborative)

The research team developed a vegetation-resolving three-dimensional surge-wave model to simulate storm impacts on Piermont Marsh and the adjacent Village. The model incorporated locally collected data on plant distribution and structure, as well as observed and simulated wind and water level data from the Hudson River. By modeling the impacts of Superstorm Sandy, they found that marsh vegetation with predominantly invasive common reed, Phragmites australis, reduced 66% of the wave energy, but less than 1% of the flood, at the Village. The marsh vegetation also significantly prevented transport of debris from the southeastern corner of the marsh. If managers were to replace Phragmites with the shorter, native cattail, Typha angustifolia , simulations of Sandy, which occurred in October, suggest that Piermont MarshÃ¢ÂÂs wave and debris buffering capacity would be preserved. However, had Sandy occurred in May/June when Typha is much shorter and sparser, the marsh would have been unable to buffer the wave and debris as effectively. The Piermont Marsh Coastal GeoTool allows Village of officials and resource managers to explore how homes and buildings would be impacted under marsh management and sea-level rise scenarios.

Tags: biosphere, coastal, coastal processes, doc/noaa/nos/ocm, earth science, earth science services, ecosystems, environmental governance/management, flood map, hudson river nerr, human dimensions, marine ecosystems, marshes, maximum wave height, models, national ocean service, nerrs, new york, noaa, ny, oceans, office of coastal management, phragmites australis, piermont, pressure sensor, radar sensor, sparkill creek, storm surge, typha angustifolia, u.s. department of commerce, village of piermont and piermont marsh, water level
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Transferring Lake Superior NERR Habitat Mapping Tools and Methods to the Wisconsin-Minnesota St. Louis River Estuary - NERRS/NSC(NERRS Science Collaborative)

This science transfer project used a multi-phase approach that included deep learning techniques and geospatial rules to create a habitat map of the St. Louis River estuary.

The Project
The St. Louis River estuary, which runs along the boundary between Wisconsin and Minnesota in the Duluth-Superior metro area, is a vital resource ecologically, culturally, and economically. The St. Louis River is the largest U.S. tributary to Lake Superior and the second largest tributary in the Lake Superior watershed. In 1987, the Great Lakes Water Quality Agreement designated the 12,000-acre freshwater estuary a Great Lakes Area of Concern because legacy contaminants and disturbances had led to nine key impairments, including loss of fish and wildlife habitat.

This project addressed a need identified by the St. Louis River Habitat Workgroup to better understand current conditions to support the identification and prioritization of areas for future restoration and conservation. The project approach included the transfer of a repeatable habitat mapping process developed by the Lake Superior Reserve and partners to a larger area encompassing 57,000 acres of wetlands and adjacent uplands spanning the lower twenty-one miles of the St. Louis River below the Fond du Lac dam. The team applied accessible image classification methods-including use of common machine learning classifiers and freely available, non-proprietary data-to create a reproducible approach that could be adopted in other locations and redeployed at regular intervals to illuminate change over time. In addition to the habitat map and reproducible workflow, the team also produced a change analysis report comparing the 2024 habitat map to the previous St. Louis River Estuary map from 2002.

Tags: aerial photography, change analysis, doc/noaa/nos/ocm, drone imagery, earth science, habitat map, habitat mapping, land cover, land surface, land use/land cover, minnesota, national ocean service, nerrs, noaa, office of coastal management, st. louis river estuary, u.s. department of commerce, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 Northwestern Hawaiian Islands Lidar - Kure Atoll

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 Kure Atoll.

      This dataset contains lidar point clouds in LAS 1.2 format, classified in the following ASPRS standards as Class 1: Unclassified, Class 2: Ground, and Class 9: Water.

      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, bathymetry/seafloor topography, class 1: unclassified, class 2: ground, class 9: water, 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, seafloor topography, 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
2017 NOAA/MCP Topobathy Lidar DEM: Blue Hill Bay, ME - SHOALS 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 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, 2 meter digital elevation model (DEM) created from the topographic and bathymetric LiDAR elevations generated from data collected with the SHOALS-1000T LiDAR system along Blue Hill Bay on the coastline of Maine. Data were collected by Fugro for NOAA OCM. The SHOALS system is 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 2.5 times the Secchi disk depth. Survey coverage was based on a delimiting polygon provided by NOAA OCM, which envelopes the area between the 0 m contour (NAVD88) down to approximated -10 meters. An additional horizontal buffer of 100 meters from the 0 m contour expanded the survey area coverage to include the adjacent emerged topography. SHOALS data have been processed on Optech SHOALS-GCS and QPS Fledermaus software packages for: auto-processing; calibration, cleaning and editing, validation, basic classification, and exported to LAS format. 

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 topographic and bathymetric reflectance raster are also available. These data are available for 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 Riegl VQ-820-G 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, shoals, terrain elevation, topography, u.s. department of commerce, u.s. east coast, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2017 NOAA NGS Topobathy Lidar DEM: Florida Keys Outer Reef, Block 04

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ880G system.  The data were acquired from 20170216 - 20170220. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), noise (7), bathymetric point  (26),  submerged object (29), and International Hydrographic Organization (IHO) S-57 object (30) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards.  This data set may also include lidar intensity values and encoded RGB image values.
The DEM was created from the bathymetric points (class 26) using las2dem from LAStools and GDAL.

Tags: 20170216, 20170220, atlantic ocean, bathymetry, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, coris, country/territory, dems, doc/noaa/nos/ocm, earth science, florida, geographic information, land surface, lidar, national ocean service, noaa, north america, ocean basin, oceans, office of coastal management, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce