AndreaBozzo/ceres-open-data-index huggingface dataset:
2010 Northwestern Hawaiian Islands Lidar - Midway 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 Midway 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
2015 Lowndes County (GA) Lidar

TASK NAME: NOAA OCM Lidar for Lowndes County, GA with the option to Collect Lidar in Cook and Tift Counties, GA
Lidar Data Acquisition and Processing Production Task
NOAA Contract No. EA133C11CQ0010
Woolpert Order No. 05271
CONTRACTOR: Woolpert, Inc.
This data set is comprised of lidar point cloud data, raster DEM, hydrologic 3-d breaklines, flightline vectors, survey control, project tile index, and project data extent. This task order requires lidar data to be acquired over the Lowndes County, GA area of interest (AOI), and will be acquired as part of this task order. The total area of the Lowndes County, GA AOI is approximately 500 square miles. The lidar data acquisition parameters for this mission are detailed in the lidar processing report for this task order. The lidar data will be acquired and processed under the requirements identified in this task order. 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 0.7 meters. The final products include classified LAS, four (4) foot pixel raster DEMs of the bare-earth surface ESRI Grid Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, flightline vectors, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow.
Original contact information: 
   Contact Org: Woolpert
   Phone: (937) 461-5660

Tags: bathymetry/seafloor topography, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, georgia, land surface, lidar, national ocean service, noaa, north america, 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
Collaborative Development of Novel Remote Sensing Workflows for Assessing Oyster Reef Structural and Demographic Characteristics to Inform Management and Restoration - NERRS/NSC(NERRS Science Collaborative)

This project brought together oyster reef managers along the southeastern United States to evaluate the use of uncrewed aerial systems (UAS), or drones, as a novel tool for measuring changes in oyster reefs.

The Project
Oyster reefs in the southeastern United States offer an abundance of ecosystem services and support both recreational and commercial fisheries. To protect and enhance oyster reefs, resource managers in the southeastern United States need accurate and timely information to guide decisions on fishery closures and restoration efforts. Oyster resource managers and NERR staff in FL, GA, SC, and NC often rely on conventional monitoring approaches to inform management and restoration decisions, but these approaches have limitations. For example, methods like boat-based surveys and in situ quadrat sampling are time consuming and limited by spatial scale.

To overcome these limitations, this project evaluated the use of uncrewed aerial systems (UAS), or drones, as a novel tool for measuring reef structural and demographic characteristics relevant to reef function. Building on a previous collaborative initiative (NERRS Science Collaborative 2020 Catalyst), this project brought together oyster resource managers and restoration practitioners across four states. Together, the team developed and refined workflows for using drones to monitor key oyster reef metrics of interest across the region. The workflows provide standard procedures for data collection, analyzing drone imagery and generating estimates of:

reef height and elevation;
rugosity;
reef footprint and area;
shell substrate and oyster percent cover;
shell volumetric change; and,
oyster density and size structure.
These workflows have built technical capacity for the use of drones at the Reserves and state resource agencies. Application of the workflows has demonstrated that drones offer the capability to collect accurate, high resolution remote sensing data across entire reefs at a fraction of the cost of traditional sampling approaches. Integrating drones with existing oyster reef assessment efforts is allowing managers to map and model oyster reef ecosystem function and services on a scale that was previously unachievable.

Tags: ace basin, biosphere, crassostrea virginica, doc/noaa/nos/ocm, drones, earth science, ecosystems, fl nerr, ga nerr, guana tolomato matanzas, image analysis, marine ecosystems, monitoring, national ocean service, nc nerr, nerrs, noaa, north carolina, north inlet-winyah bay, office of coastal management, oyster demographics, oyster density, oyster percent cover, oyster reef, reef, reef condition, reef demographics, reef elevation, reef footprint, reef rugosity, reef structure, remote sensing, sapelo island, sc nerr, shell volume, u.s. department of commerce, uas, uncrewed aerial systems
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2021 NOAA Bathymetric Lidar DEM: 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 DEM data created from the classified lidar point cloud (classes 2, 40, 43) at a 2 meter resolution. The lidar data were collected on August 31 and September 3, 2021 using a Leica HawkEye4X sensor. 

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, beach, coastal bathymetry, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, erosion, land surface, 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
Respecting the Past, Planning for the Future: Integrating Cultural Resources and Watershed Connectivity Into Co-Design of a Road Modification Project - NERRS/NSC(NERRS Science Collaborative)

Building on previous and ongoing work at China Camp State Park, this project provided field data, vulnerability assessments and community engagement to advance toward selecting adaptation strategies to protect and enhance natural resources and archaeological and tribal cultural resources while accommodating ongoing utilization of an important shoreline road subject to regular coastal and storm flooding.

China Camp State Park is one of the few remaining ecologically intact bay-wetland-upland landscapes of the San Francisco Estuary. These landscapes historically and today have been used by and remain important to the local Coast Miwok and Southern Pomo groups, represented today by the Federated Indians of Graton Rancheria (FIGR), a federally recognized tribe.

Since the 1890s, the North San Pedro Road has traversed China Camp to provide critical transportation needs. The road serves as the sole vehicle access to the State Park and all its recreational, educational, scientific, and cultural uses and natural resources. It also serves as a critical evacuation and emergency services route as well as a commuter corridor. 
However, low-lying sections of this road are prone to frequent and severe king tide and storm flooding, impacting this important transportation corridor. The road also restricts tidal exchange with the interior marshes, impacting marsh ecology and impeding capacity for marsh migration into the adjacent alluvial meadows. Road modification is necessary for the community to maintain road access to and through the park as sea level rise continues to threaten low-lying roads and for remedying the impaired marsh ecology and resiliency. With rising sea levels and increased intensities of storm events, this flooding will increase in frequency and severity.

Tags: adaptation, ca nerr, construction, cultural ecosystem services, doc/noaa/nos/ocm, hydrology, marsh accretion, modeling, national ocean service, nerrs, noaa, office of coastal management, san francisco bay, sea level rise, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Investigating the Interconnectedness of Climate Change, Nuisance Mosquitos, and Resilience of Coastal Salt Marsh Systems - NERRS/NSC(NERRS Science Collaborative)

Through data-collection, mapping, and modeling efforts, this project has increased clarity about marsh habitat change to inform mosquito control and coastal restoration efforts in New Jersey. Future modeling and marshâupland edge mapping suggest that the marshâupland is and will be a hotspot for change, and field sampling confirmed that these ânewâ habitats can serve as breeding areas for mosquitoes. The project team developed environmental DNA (eDNA) assays for the most common salt marsh mosquitoes in the Middle Atlantic United States. Working closely with mosquito control agency personnel, major advancements were made in mosquito surveillance through the deployment of drone-based sampling of breeding pools paired with the eDNA analyses. The team also developed outreach materials to inform the public about health risks posed by mosquitoes, including how climate change might exacerbate those risks, and a module for middle/high school educators.

Tags: aquatic ecosystems, atmospheric/ocean indicators, biosphere, climate indicators, coastal, doc/noaa/nos/ocm, dredge, earth science, ecosystems, edna, environmental governance/management, human dimensions, inundation, jacques cousteau nerr, land surface, landscape, marine ecosystems, marshes, mosquito, national ocean service, nerrs, nj, noaa, office of coastal management, reclamation/revegetation/restoration, resilience, sea level rise, u.s. department of commerce, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 Northwestern Hawaiian Islands Lidar - Laysan 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 Laysan 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
GOM Dip Plate 20161117

These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using RS Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has an ongoing chronic oil discharge. Data shown here in NOAAâs Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Delaware / New Jersey / Pennsylvania 2014 ESI BIRDS Polygons and NESTS Points

These data sets contains sensitive biological resource data for alcids, diving birds, gulls, terns, passerines, pelagic birds, raptors, shorebirds, wading birds, and waterfowl in Delaware Bay and nearby coastal areas of Delaware, New Jersey, and Pennsylvania.  Vector polygons in the BIRDS data set represent bird nesting, migratory staging, and wintering sites. Vector points in the NESTS data set represent raptor and wading bird nests. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Delaware/New Jersey/Pennsylvania.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2014, and pennsylvania), animals/vertebrates, biological classification, birds, coastal resources, coastal zone management, continent, delaware, delaware bay, delaware bay (delaware, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, human dimensions, national ocean service, new jersey, noaa, north america, office of response and restoration, oil spill planning, oil spills, pennsylvania, sensitivity maps, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
MC20 USCG CGC Brant NAIS Track Line 08-16-18

These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using RS Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has an ongoing chronic oil discharge. Data shown here in NOAAâs Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM FT 2016-11-17 SLAR run 2

These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has experienced an ongoing chronic oil discharge since 2004. Data shown here in NOAAâs Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, fototerra, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce