AndreaBozzo/ceres-open-data-index huggingface dataset:
2015 Cook & Tift County (GA) Lidar

TASK NAME: NOAA OCM Tift and Cook Counties GA Lidar Data Acquisition and Processing Production Task
NOAA Contract No. EA133C-11-CQ-0010
Woolpert Order No. 75271
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 Tift and Cook Counties, GA area of interest (AOI), and will be acquired as part of this task order. The total area of the Tift and Cook Counties, GA AOI is approximately 515 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
Submerged Aquatic Vegetation of Bogue Sound, North Carolina 1992 Biotic

During 1992, 1:20,000 scale aerial photography for Bogue Sound, North Carolina was collected as part of an effort to map submerged aquatic vegetation (SAV) in Coastal North Carolina. The imagery was collected following a strict set of guidelines as detailed in NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation (NOAA Technical Report NMFS 123 1995; see Chapter 4 online at www.coast.noaa.gov/crs/lca/methods.html). Photographs were taken at low tide and during times that the growth stage of the SAV allowed for clear identification. Care was taken to minimize the effects of turbidity, sun glint, wind, and haze on the photos. The imagery was scanned using a photogrammetric quality scanner (AGFA Horizon Plus) at a resolution of 600 dots per inch (dpi) resulting in a pixel resolution of 0.85 meters. Signature development took place during the summer of 2001. The images were orthorectified using ground control points selected from the state digital orthoquads and the National Imagery and Mapping Agency (NIMA) Digital Terrain Elevation Data (DTED(r)). The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME).  This system is fully described in "Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02." The images were interpreted and digitized on screen using ArcGIS 8.2 and labeled using ArcView 3.2 and the Benthic Habitat Digitizer extension (developed by the NOS Biogeography Program). The data have not been assessed for thematic accuracy due to the large disparity between dates of image acquisition in 1992 and interpretation in 2002. The data was assessed for horizontal spatial accuracy and thematic agreement during the fall of 2002.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aerial photography, benthic, biosphere, biotic component, bogue sound, carteret county, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, halodule, marine ecosystems, national ocean service, nc, new river inlet, noaa, north america, north carolina, ocm benthic habitat mapping, office of coastal management, onslow county, sav, seagrass, submerged aquatic vegetation, u.s. department of commerce, united states of america, zostera
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2021 Fletcher Pond, MI Natural Color, Color Infrared and Hyperspectral Imagery

Wild rice (Zizania palustris and Zizania aquatica), also known as manoomin, plays an integral role in the wetland ecosystems of the Great Lakes and is central to the culture, identity, and livelihood of Indigenous Peoples throughout the region. As manoomin faces increasing threats from climate change, land use change, pollution, invasive species, and other stressors, efforts are underway to protect and restore wild rice populations and habitat.

To support these efforts and help improve mapping and monitoring of wild rice in the Lake Michigan and Lake Huron basins, NOAA's Office for Coastal Management, in collaboration with tribal partners, identified twelve areas of interest (AOI) as pilot sites for airborne hyperspectral imagery and field data collection, which took place in August and September 2021. 

In total, airborne hyperspectral imagery (with derived natural color and color infrared) was acquired for 43,493 acres. This imagery, in conjunction with field data and place-based knowledge and expertise of tribal partners, was used to help delineate ~13,775 acres of vegetated wetlands, including ~790 acres of wild rice. 

AOI/Pilot Sites

1. Christiana Creek, MI

2. Fletcher Pond, MI

3. Flowerfield Creek, MI

4. French Farm Lake, MI* 

5. Hamlin Lake, MI

6. Indiana Dunes, IN

7. Manistee River, MI

8. Miller Woods, IN

9. Nottawa Creek, MI

10. Potagannissing, MI

11. Rocky Creek, MI

12. Tawas Lake, MI

*To request imagery and associated vector and field data for this site, please contact:
Jon Mauchmar
Wildlife Technician
Little Traverse Bay Bands of Odawa Indians
Natural Resources Department - Inland Fish & Wildlife Program
Office: 231-242-1670
jmauchmar@ltbbodawa-nsn.gov

Tags: airplane, cameras, color infrared, doc/noaa/nos/ocm, earth science, fletcher pond, glri, great lakes restoration initiative, hyperspectral, imagery, infrared imagery, infrared wavelengths, mi, michigan, national ocean service, natural color, noaa, office of coastal management, orthoimage, rectified image, spectral/engineering, u.s. department of commerce, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Credit for Going Green: Transfer of an Expert Elicitation Method to Develop Pollutant Load Reduction Rates for Buffers that Count Toward MS4 Permits - NERRS/NSC(NERRS Science Collaborative)

The Credit for Going Green project team worked with a panel of experts to generate science-based recommendations to calculate the pollutant removal rate of buffers in development, redevelopment, restoration, or other land use change projects. Communities can use this information to receive pollutant removal credits under permits issued by stormwater permit programs. The project has provided municipal staff and boards with the information and tools to better promote buffers as a way to protect water quality, while also enhancing habitat and protecting communities from flooding. 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.

The Chesapeake Bay Program developed protocols and methodologies for a process that creates consistent and scientifically-defensible performance estimates for stormwater best management practices. Through reviewing data, literature, and expert testimony on quantifying best management practice performance, the expert panel will produce a consensus-based report of pollutant load reduction performance curves that meet the needs of New Hampshire communities and the standards established by regulators under MS4 permits. The project team will disseminate these findings through a report; targeted communication products; three workshops in New Hampshire, Massachusetts, and Rhode Island; and a simple roadmap for the expert elicitation process.

Tags: biosphere, buffer, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuary, great bay nerr, ma, marine ecosystems, massachusetts, narragansett bay nerr, national ocean service, nerrs, new hampshire, nh, noaa, north america, office of coastal management, rhode island, ri, shoreline stabilization, stormwater, u.s. department of commerce, united states of america, waquoit bay nerr, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Maui, Hawaii 2005-2010 Land Cover Change Analysis

This data set contains the 2005 and 2010 classifications of Maui and can be used to analyze change. This data set utilized utilized 63 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Maui C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: airplane, c-cap, cameras, central pacific ocean, change detection analysis, coastal zone, continent, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, hawaii, hawaiian islands, land cover analysis, land surface, land use/land cover, land use/land cover classification, maui, national ocean service, noaa, north america, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, united states of america, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP, Tinian, 2006-2014 Land Cover Change Analysis

This data set contains the 2006 and 2016 classifications of Guam and can be used to analyze change. This data set utilized utilized several full or partial WorldView2 multispectral scenes and the 2006 high-resolution Guam C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: airplane, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, tinian, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1964 Guam Historical Scanned Imagery

These images are part of a project funded by NOAA Office for Coastal Management to develop a high quality, user-friendly, attributed, centralized, multi-territorial digital database of georeferenced historic aerial imagery in the Pacific Islands region, including Hawaii, American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands. The objective of this project is to make previously unavailable historic aerial imagery of the Pacific Islands available for public consumption through NOAA's Digital Coast website. These images were scanned on a flatbed scanner and georeferenced to existing basemap data.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aerial, airplane, cameras, coastal, doc/noaa/nos/ocm, earth science, guam, historical, imagery, infrared imagery, infrared wavelengths, micronesia, mosaic, national ocean service, noaa, ocean, office of coastal management, pacific ocean, photograph, rectified image, remotely sensed imagery/photos, scanned imagery, spectral/engineering, u.s. department of commerce, visible imagery, visible wavelengths, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Baffin Bay 2004 Geoform

In 2006 and 2007 the NOAA Office for Coastal Management purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays.The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A and M University Center for Coastal Studies to develop benthic habitat data, primarily Submerged Aquatic Vegetation(SAV) for several coastal bays.  This data will support the state's recently adopted Seagrass Monitoring Program which calls for regional mapping of SAV for status and trends assessment.  The Center, Texas A and M, and TPWD have coordinated on the requirements of this project.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitat, biosphere, cmecs, coastal, coastal and marine ecological classification standard, continent, digital map, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geoform component, habitat classification, marine ecosystems, national ocean service, noaa, north america, office of coastal management, seagrass, submerged aquatic vegetation, texas, texas seagrass monitoring program, tx, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shallow benthic habitats of San Francisco Bay, California CMECS biotic component

This dataset has been developed for the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (OCM) as a collaborative and cooperative project with the California State Coastal Conservancy (SCC) on behalf of the Ocean Protection Council (OPC) to collect and delineate habitat data in the San Francisco Bay area. Data is intended for use in coastal management decision making, including applications such as sea level rise. The mission of the Center is to support the environmental, social, and economic well-being of the coast by linking people, information, and technology.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: (843)740-1202
   Email: coastal.info@noaa.gov

Tags: algae, benthic, benthic habitat, biosphere, california, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, eelgrass, estuary, marine ecosystems, marsh, national ocean service, noaa, north america, office of coastal management, san francisco, san francisco bay, seagrass, sediment, submerged aquatic vegetation, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA/WDS Paleoclimatology - South Sawtooth Lake, Ellesmere Island 2,900 Year Annual Grain Size Data

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Lake. The data include parameters of paleolimnology with a geographic location of Nunavut, Canada. The time period coverage is from 2848 to -61 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Tags: canada, climate indicators, continent, doc/noaa/nesdis/ncei, earth science, latitude 79.351, longitude -83.952, material: null, material: sediment, national centers for environmental information, nesdis, noaa, north america, nunavut, ocean/lake records, paleoclimate, paleoclimate indicators, paleolimnology, physical properties, sawtooth lake, u.s. department of commerce, what: age, what: depth, what: grain size class, what: grain size median, what: grain size parameter, what: grain size standard deviation, what: sample identification
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1980 Marinette County, WI NOAA Black & White 8 Bit Imagery

Historic aerial imagery for the Great Lakes shoreline of Lake Michigan was provided by the Bay-Lake Region Planning Commission (BLRPC). This imagery was captured in November 1980 by Aero-Metric Engineering, Inc. and archived by the BLRPC by Range/Township on mylar sheets at a scale of 1"=800'. Under contract to NOAA, Dewberry obtained the mylar sheets from BLRPC, scanned them at 600 DPI, and georeferenced the scanned images.

Tags: airplane, black and white, cameras, continent, doc/noaa/nos/ocm, earth science, glri, great lakes restoration initiative, historical, imagery, infrared imagery, infrared wavelengths, national ocean service, noaa, north america, office of coastal management, orthoimage, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths, wi, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Agrihan, 2015

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 a Worldview-3 multispectral scene dated 12-25-2015.

Tags: 2015, agrihan, airplane, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, western pacific ocean, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
A Future for Oysters Along the Pacific - NERRS/NSC(NERRS Science Collaborative)

Oysters are the tiny superheroes of coastal environments. They enhance water quality, create habitat, and protect shorelines from storms and erosion. Along the Pacific Coast, native oysters are in decline, due in part to sedimentation, inadequate protection, and unsustainable harvests. Planning for a future that includes healthy native oyster populations depends on our ability to select sites for restoration that not only account for these challenges but also the impacts of a changing climate.

Tags: biosphere, ca, decision making, doc/noaa/nos/ocm, earth science, ecosystems, elkhorn slough, estuary, habitat restoration, marine ecosystems, national ocean service, nerrs, noaa, office of coastal management, oyster, restoration, san francisco bay, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Offshore Oil and Gas Resource Potential

These data show the location of probable oil or gas geologic structures (plays) mapped within the outer continental shelf of the United States. Plays are groups of known or postulated subsurface hydrocarbon accumulations that share common geologic, geographic, and temporal properties, such as history of hydrocarbon generation, migration, reservoir development, and entrapment. Seismic surveys were used to analyze the Unrecovered Technically Recoverable Resource. Plays are displayed as two-dimensional features, but may overlap vertically allowing for multiple plays in the same area.

Tags: coastal, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, human dimensions, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, planning, renewable energy, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2002/2003 IfSAR data for Southern California: Digital Elevation Model (NAVD88)

This metadata document describes the collection and processing of topographic elevation point data derived from Interferometric Synthetic Aperture Radar (IfSAR) measurement for coastal Southern California.  Collection consists of topographic elevations from the California counties of Santa Barbara, Ventura, Los Angeles, Orange, and San Diego, and the hydrologic units within those counties that drain to the Pacific Ocean along with offshore islands within the Channel Islands. The resulting data available for download, include the Digital Elevation Model (DEM), and the Raw magnitude radar reflectance data. Height Variance data is available upon request from NOAA OCM.  The elevation data is first surface return (vegetation is in the dataset) X-band IfSAR with three meter point spacing and approximately one meter vertical accuracy in non-vegetated areas.  The elevation data is available in NAVD88 vertical datum.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: ca, california, channel islands, coastal, coastal elevation, coastal processes, continent, dems, doc/noaa/nos/ocm, dsm, earth science, geosar, height variance data, ifsar, interferometric, interferometric synthetic aperture radar (ifsar), land surface, los angeles county, mapping, national ocean service, noaa, north america, oceans, office of coastal management, orange county, radar, raw magnitude radar imagery (mag), san diego county, santa barbara county, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, united states of america (usa), ventura county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2002 NOAA Lidar: Willapa Bay, WA Mudflat (WA)

NOAA contracted with Spencer B. Gross, Inc. (SBG) to obtain airborne Lidar of Willapa Bay, Washington during low tide
conditions. The Lidar data was processed to deliver topographic surface elevation data of the exposed intertidal flats and surrounding
terrestrial areas.

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, invasive species, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, spartina alterniflora, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce