AndreaBozzo/ceres-open-data-index huggingface dataset:
2010 Northwestern Hawaiian Islands Lidar - Lisianki Island

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 Lisianki Island.

      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
Marsh Sediment in Translation (MSiT): A Collaborative Project to Broaden - NERRS/NSC(NERRS Science Collaborative) the Impacts of Marsh-Sediment Research at China Camp State Park

Natural resource managers, policy makers and regulators, restoration planners and practitioners, and consulting scientists came together to translate research on regional sediment dynamics into an accessible publication.

The Project
This project distilled and conveyed relevant lessons learned from a series of past research within and adjacent to a tidal salt marsh in the San Francisco Bay National Estuarine Research Reserve. Motivation for the project stemmed from a long history of regional reports, workshops, working groups, and conversations around best practices for sediment management in the estuary that collectively highlighted the need for greater understanding of how and when sediment is transported from the bay onto marshes.

Tidal marsh resilience in San Francisco Bay is threatened by sea-level rise and a downward trend in the available sediment in the estuary. Reduced marsh sediment accretion increases the likelihood of marsh vegetation drowning, widespread habitat loss, and a reduction in shoreline protection and other ecosystem services. People charged with addressing such challenges include natural resource managers, policy makers and regulators, restoration planners and practitioners, and consulting scientists. Large-scale restoration efforts are planned for the estuary, and these decision makers must consider sediment movement when they plan and implement management actions to enhance and restore tidal marsh habitat.

The project team worked with these decision makers using a deliberate collaborative process involving surveys, interactive workshops, and iterative document review and revision to improve understanding of key principles and past research. Over the course of the project, the team synthesized and translated technical data on hydrodynamics, sediment transport, and sediment accretion into an approachable and understandable communication product that will be freely accessible to regional collaborators and additional users around the San Francisco Bay area and beyond.

This project continues a collaborative effort that started with the 2013 research project "Mud on the Move," focusing on data from a set of connected field studies based in San Francisco Bay NERR's China Camp State Park and the adjacent waters of San Pablo Bay.

Tags: ca, coastal processes, doc/noaa/nos/ocm, earth science, geomorphic landforms/processes, marsh accretion, marsh resilience, national ocean service, nerrs, noaa, office of coastal management, san francisco bay nerr, sediment transport, solid earth, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2019 NOAA Topobathy Lidar DEM (Interpolated): Morro Bay, CA

These data represent integrated lidar and sonar gridded surface data.  Quantum Spatial, Inc. (QSI) collected the topobathymetric lidar using a Riegl VQ880GII system on May 22, 2019. Merkel and Associates collected sonar data to provide bathymetric surface modeling in areas lacking lidar coverage. The sonar was collected between June 17th-19th, 2019 using a SEA SWATHplus-H sonar system.  QSI performed the lidar/sonar integration. The dataset includes topobathy data in a LAS 1.4 format file with the following classification:1-Unclassified, 1-O (Overlap bit) - Edge clip (geometrically unreliable points at the edge of flightline swaths), 2-Ground, 7-Noise, 9-NIR water surface, 20-Ignored ground and sonar (excluded for seamless model creation), 40-Bathymetric point, 41-Green laser water surface,and 45- Green laser water column in accordance with project specifications. Sonar data has been assigned a Point Source ID of 9 and a User Byte of 2. All other data is lidar-derived. The NOAA Morro Bay area of covers approximately 4,215 acres over Morro Bay, including the Morro Bay Estuary and roughly 3.6 miles of coastline. LAS files were compiled by 500 m x 500 m tiles.

An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing. Classes 2 (ground), and 40 (submerged topography) were used to create the final DEMs. The full workflow used for this project is documented in the NOAA Morro Bay final report.

Interpolated DEM dataset-These DEMs represent a continuous surface with all void areas interpolated.  No void layer was incorporated into this DEM and there are no areas of No Data, regardless of whether the LiDAR data fully penetrated to the submerged topography.

Tags: airplane, bathymetry, bathymetry/seafloor topography, beach, coastal bathymetry, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, sea floor, sonar, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Territory of Guam 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 10 full or partial WorldView2 multispectral scenes and the 2011 high-resolution Guam C-CAP data set. The imagery and base classification were included in a multi-step semi-automated change detection process to extract land cover features in the 2015-2016 imagery.

Tags: airplane, c-cap, cameras, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, guam, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, 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
Refining Techniques for High-Frequency Monitoring of Chlorophyll in the NERRS - NERRS/NSC(NERRS Science Collaborative)

Twelve biogeochemically diverse reserves participated in a one -year study to standardize protocols for calibration and data management using both chlorophyll methods (extractions and in situ sensor readings) at various frequencies. Given technician experiences with preliminary sensor deployments and results from previous studies, one objective of this project was to identify possible sensor interferences and develop standardized empirical correction procedures. Another objective of this project was to test how well extracted CHL-A (micrograms/L) could be predicted from the suite of YSI EXO sensors. While there is value in the YSI EXO Total Algae (TAL) sensor's relative fluorescence units (RFU) for short-term or single-site chlorophyll measurements, reliable predictions of extracted CHL-A (micrograms/L) would provide a standard measure to compare among sites and with historic data.

Tags: biosphere, ca, chlorophyll, doc/noaa/nos/ocm, earth science, ecosystems, elkhorn slough nerr, estuary, estuary harmful algal bloom (habs), estuary monitoring, estuary nutrients, estuary water quality, fdom, fl, fluorescence, ga, grand bay nerr, great bay nerr, guana tolomato matanzas nerr, he'eia nerr, hi, high frequency, interference, lake superior nerr, marine ecosystems, me, mission aransas nerr, ms, national ocean service, nerrs, nh, noaa, north inlet-winyah bay nerr, office of coastal management, oh, old woman creek nerr, padilla bay nerr, sapelo island nerr, sc, temperature, turbidity, tx, u.s. department of commerce, wa, wells nerr, wi
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Marine Place Names

This layer displays coastal and offshore marine place names. These are general names for areas of the sea as published on the NOAA Nautical Charts. Different marine place names are displayed depending on the scale you are zoomed into on the map. This layer was created by extracting the Natural Features, Sea Area Named Water Areas from all scale bands in the NOAA Electronic Navigation Charts.

Tags: abyssal plain, alaska, atlantic, atlantic ocean, bank, basin, bay, canal, canyon, continent, doc/noaa/nos/ocm, earth science, east coast, environmental governance/management, escarpment, fan, fracture zone, gap, great lakes, gulf of america, gulf of mexico, hawaii, hole, human dimensions, knoll, lake, ledge, marinecadastre, mud flats, narrows, national, national ocean service, noaa, north america, north atlantic ocean, ocean, office of coastal management, pacific, peak, pinnacle, plateau, puerto rico, reach, reef, ridge, river, sea, sea channel, seamount, shoal, spur, trench, u.s. department of commerce, united states, united states of america, us virgin islands, usvi, valley, west coast
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2022 NOAA OCM Topobathy Lidar: Washington Island, WI

These data were collected by Dewberry using a CZMIL Super Nova system.  The data were acquired from 20220719 through 20220816. The data include topobathy data in LAS 1.4 format classified as unclassified (1); ground (2); low noise (7); high noise (18); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43); and no bottom found (bathymetric lidar point for which no detectable bottom return was received) (45).  This dataset consists of approximately 219 square miles of data along the shores of Green Bay and contains 2,630 500 m x 500 m LAS tiles.

In addition to the lidar point data, topobathy bare earth Digital Elevation Models (DEMs) at a 1 meter grid spacing, created from the lidar point data are available from the NOAA Digital Coast. A link to this data is provided in the URL section of this metadata record.

Tags: airplane, bathymetry, bathymetry/seafloor topography, coastal bathymetry, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, great lakes, 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, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
The Future of Site Profiles: An Innovative Cross-Sector Approach to Incorporating End User and Reserve Needs - NERRS/NSC(NERRS Science Collaborative)

This project brought renewed attention to reserve site profiles and supported the development of a modernized format that better aligns with and boosts the impact of reserve programs.

The project
Each reserve within the National Estuarine Research Reserve System maintains a specific site profile that synthesizes knowledge about its physical and biological characteristics to guide research and monitoring activities. Traditionally, the site profile has been a book or PDF, with limited support for a more interactive and modern interface design. The likely future addition of new reserves into the system, and the anticipated need to update many existing reserve site profiles, inspired the He'eia and Lake Superior reserves to develop a joint vision for a new site profile template with a user-driven interface design.

This project team worked with the UW-Madison Division of Extension Evaluation Unit to conduct a survey of reserve staff and partners. The survey revealed that users wanted updated and relevant information in site profiles, wished for them to be digital and searchable, and wanted them to include cultural and historical content related to each reserve. Survey respondents also expressed moderate familiarity with reserve site profiles and noted that some characteristics such as technical language, ease of use, and accessibility could be improved to make them more appealing to both Reserve System staff and the general public.

Working with contractors and reserve partners, the team developed a template and outline for a modernized web-based site profile, and a user guide with clear step by step instructions to create a digital profile. The updated site profile addresses the needs identified by the survey and focus groups, providing reserves with an option to include cultural and historical components of estuaries on their sites, as well as an optional section to identify future threats and corresponding research needs. Other key site profile features include ArcGIS mapping components and Zotero based bibliographies that allow for access to all citations in the site profiles. The project team found that overall awareness of site profiles can be increased by providing information via online messaging, local newsletters, local newspapers, and presentations in institutions affiliated with reserves.

Tags: communication, data visualization, doc/noaa/nos/ocm, he'eia nerr, hi, lake superior nerr, national ocean service, nerrs, noaa, office of coastal management, science usability, u.s. department of commerce, wi
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Resilience Dialogues: Strategies for Conflict Management in Collaborative Science - NERRS/NSC(NERRS Science Collaborative)

Resilience dialogues are conversations that occur among people with diverse perspectives who have agreed to work together to increase community and ecological resilience. For over a decade, the National Estuarine Research Reserve System has been leading a new approach to collaborative science that brings together scientists, environmental managers, and community stakeholders to address pressing coastal issues. Conflict is a natural part of collaborative science as people with differing perspectives and values interact in new ways over complex and uncertain issues. While leading collaborative science projects, reserves and their partners have accumulated a wealth of knowledge about how to confront and manage conflict. The Resilience Dialogues project drew on this experience to identify four best practices for collaborative science. The project created a curriculum, case studies, and peer-to-peer trainings to share these successful collaboration techniques and build conflict mediation skills. Multiple in-person and virtual workshops for reserve staff established these best practices and contributed to the effectiveness of collaborative science projects within the reserve system, while the projectâs resources brought this expertise to a wider audience of state agencies and coastal management partners.

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, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuary, maine, marine ecosystems, me, national ocean service, nerrs, noaa, north america, office of coastal management, u.s. department of commerce, united states of america, wells nerr
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Georgia, South

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 Georgia South 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 Glynn, Wayne, Camden, Brantley and Charlton Counties.
      
      The DEM was produced from the following lidar data sets:
      1. USGS 2018 Statewide GA 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, brantley county, camden county, charlton county, coastal elevation, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, georgia, glynn county, inundation, land surface, lidar, light detection and ranging, 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, wayne county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2019 NOAA Topobathy Lidar: Morro Bay, CA

These data represent integrated lidar and sonar topobathymetric point cloud data.  Quantum Spatial, Inc. (QSI) collected the topobathymetric lidar using a Riegl VQ880GII system on May 22, 2019. Merkel and Associates collected sonar data to provide bathymetric surface modeling in areas lacking lidar coverage. The sonar was collected between June 17th-19th, 2019 using a SEA SWATHplus-H sonar system.  QSI performed the lidar/sonar integration. The dataset includes topobathy data in a LAS 1.4 format file with the following classification:1-Unclassified, 1-O (Overlap bit) - Edge clip (geometrically unreliable points at the edge of flightline swaths), 2-Ground, 7-Noise, 9-NIR water surface, 20-Ignored ground and sonar (excluded for seamless model creation), 40-Bathymetric point, 41-Green laser water surface,and 45- Green laser water column in accordance with project specifications. Sonar data has been assigned a Point Source ID of 9 and a User Byte of 2. All other data is lidar-derived. The NOAA Morro Bay area of covers approximately 4,215 acres over Morro Bay, including the Morro Bay Estuary and roughly 3.6 miles of coastline. LAS files were compiled by 500 m x 500 m tiles.

Tags: airplane, bathymetry, bathymetry/seafloor topography, beach, coastal bathymetry, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, sea floor, sonar, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2019 NOAA Lidar DEM: Padilla Bay NERR and Skagit River Delta, WA

This dataset is a digital elevation model (DEM) derived from LiDAR (Light Detection and Ranging) point cloud data 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 aerial acquisition Tetra Tech contracted with Eagle Mapping. 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, 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, 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