AndreaBozzo/ceres-open-data-index huggingface dataset:
2021 Rocky Creek, 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, 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, rocky creek, spectral/engineering, u.s. department of commerce, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Mud on the Move: Predicting How Marshes Will Change as Sea Levels Rise - NERRS/NSC(NERRS Science Collaborative)

Healthy tidal marshes support the food webs that underpin our fisheries; they mitigate the impact of coastal storms, and they improve water quality. However, as sea level rises, marshes are at risk from âdrowning.â To survive, marshes must maintain their elevation relative to surrounding waters. They do this, in part, through accretion, a process by which sediment suspended in the water accumulates on the marshâs surface. For marshes to survive, accretion must keep pace with sea level rise. Making decisions to support marsh sustainability depends on the ability to accurately measure suspended sediment concentrations, yet current monitoring programs lack well-tested, effective approaches to doing so.

Tags: biosphere, ca, climate change, doc/noaa/nos/ocm, earth science, ecosystems, estuary, grand bay, marine ecosystems, marsh accretion, ms, national ocean service, nerrs, noaa, north inlet-winyah bay, office of coastal management, restoration, san franciso bay, sc, sea level rise, sediment transport, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Delaware Bay, Delaware Benthic Habitats 2010 Geoform

The Coastal Program of Delaware's Division of Soil and Water conservation (DNREC), the University of Delaware, Partnership for the Delaware Estuary, and the New Jersey Department of Environmental Protection have partnered and are carrying out a bottom and sub-bottom imaging project to identify and map the benthic habitat and sub-bottom sediments of Delaware Bay and River.  This project was initiated to better understand the distribution of bottom sediment types, habitat biodiversity, and most importantly, human's impact on the bay bottom and its living resources.  The project integrates the use of three types of acoustical systems: Roxann Seabed classification system, chirp sub-bottom profiling, and multi-beam bathymetric mapping.  Verification of the acoustic data with bottom and sub-bottom sediments is performed through the collection of bra banc core samples and underwater video images.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitat, biosphere, bottom sediments, cmecs, coastal, coastal and marine ecological classification standard, continent, delaware, delaware bay, delaware river, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geoform component, marine ecosystems, national ocean service, noaa, north america, office of coastal management, sav, sediment water interface, shellfish beds, state of delaware, state of new jersey, surface sediment mapping, u.s. department of commerce, united states of america, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1998 Spring West Coast (post El Nino) NOAA/USGS/NASA  Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected during April 1998 and covers the states of California, Oregon, and Washinton.
Collection captures the beach conditions following El Nino winter storms.
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, california, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, oregon, seafloor topography, 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
NOAA Office for Coastal Management Coastal Digital Elevation Model: Lake Ontario

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 NOAA Lake Level Viewer. It depicts potential lake level rise and fall 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 lake level change, coastal flooding impacts, and exposed lakeshore. 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 NOAA Lake Level Viewer may be accessed at: https://coast.noaa.gov/llv.
      
      This metadata record describes the Lake Ontario 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 Lake Level Viewer described above. This DEM includes the best available lidar and US Army Corps of Engineer dredge survey data known to exist at the time of DEM creation that met project specifications. This DEM includes data for Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York.
      
      The DEM was produced from the following lidar data sets:
      1. 2011 USACE NCMP Topobathy Lidar: MI/NY Great Lakes
      2. 2007 USACE NCMP Topobathy Lidar: Lake Superior (Apostle Islands) and Lake Ontario (NY, WI)
      3. 2001 USACE LRE Topobathy Lidar: Lake Ontario (NY)
      4. 2000 Cayuga County, New York Lidar
      
      The DEM was produced from the following sonar data sets:
      5. 2015 USACE Buffalo District, Irondequoit Bay Harbor, NY
      6. 2015 USACE Buffalo District, Rochester Harbor, NY
      7. 2014 USACE Buffalo District, Point Breeze, NY, Oak Orchard Harbor
      8. 2014 USACE Buffalo District, Oswego Harbor, NY
      
      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, cayuga county, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, great lakes, inundation, jefferson county, lake ontario, land surface, lidar, monroe county, national ocean service, new york, niagara county, noaa, north america, office of coastal management, orleans county, oswego county, sea level changes, sonar, terrain elevation, topography, u.s. department of commerce, united states of america, us, water levels, wayne county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Bringing Shorelines to Life in South Carolina - NERRS/NSC(NERRS Science Collaborative)

In South Carolina, the Eastern oyster is an ecosystem âall-star.â It filters huge volumes of water, creates habitat for commercial and recreational fisheries, and is a local delicacy. Thriving oyster reefs serve as natural breakwaters protecting South Carolinaâs fringing marshes from wave action and erosion. The loss of oyster reefsâwhether caused by development, pollution, overharvest, disease, or sea level riseâaccelerates coastal erosion and causes ecosystem health to decline. These impacts are especially apparent along the stateâs heavily trafficked Intracoastal Waterway and its barrier islands, which historically have protected the mainland from the Atlanticâs waves and storms.

Tags: ashepoo combahee edisto basin, biosphere, climate resilience, doc/noaa/nos/ocm, earth science, ecosystems, estuary, habitat restoration, living shoreline, marine ecosystems, national ocean service, nerrs, noaa, office of coastal management, oyster reef, sc, shoreline stabilization, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Commercial Vessel Density October 2009-2010 AIS UTM14

These data were generated to provide insight into marine traffic patterns on a macro scale so they could be analyzed across the coastal waters of the Continental United States, this data set is for the UTM Zone 14N.  For this dataset a transit is counted for every unique vessel intersecting a 1 kilometer square grid cell each day. This data represents the total number of vessel transits from October 2009 - October 2010. Some grid cells were unable to be processed, but this does not interfere with the integrity of this dataset. 

Please note multiple connection errors occurred during the time frame of this study. In most cases data gaps were filled by making subsequent request to the coastguard or other groups receiving the same data feed. However, due to resource constraints uninterrupted coverage was not obtained. Overall data outages were minimal on the order less than a day per month and because random and affect all areas uniformly do not has a significant effect on the integrity of the data. Also as stated on the USCG NAIS website AIS data is not representative of all vessel traffic and USCG NAIS receivers do not fully cover the entire extent of this study area. Please take time to understand both of these limitations.

Tags: ais, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, human dimensions, national ocean service, noaa, north america, office of coastal management, ship counts, u.s. department of commerce, united states, united states of america, vessel traffic
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Assessing the Effects of Storm Surge Barriers on the Hudson River Estuary - NERRS/NSC(NERRS Science Collaborative)

Coastal cities around the country are exploring structural engineering options for defending against extreme storms and the resulting surge of ocean water that can massive flooding. Storm surge barriers or tide gates can effectively protect harbors and minimize flooding, property damage and loss of life during large storms. These barriers typically span the opening to a harbor or river mouth and include gates that are only closed when storm surges are expected. However, even when gates are open, the barriers reduce water flow and tidal exchange, which in turn affects water quality and ecological processes. Scientists and engineers are increasingly recognizing the need for broad research initiatives to more fully explore the advantages and disadvantages of large surge barriers.

Tags: adaptation, biosphere, climate change, doc/noaa/nos/ocm, earth science, ecosystems, estuary, flooding, hudson river, marine ecosystems, national ocean service, nerrs, noaa, ny, office of coastal management, shoreline stabilization, storm surge, surge barrier, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP United States Virgin Islands, St. Thomas 2003-2007-Era Land Cover Change Analysis

This data set contains the 2003-era and 2007-era classifications of
St. Thomas, United States Virgin Islands and can be used to analyze change.
This data set utilized 32 full or partial ADS40 scenes
which were analyzed according to the Coastal Change Analysis Program (C-CAP)
protocol to determine land cover.

Tags: airplane, atlantic ocean, c-cap, cameras, caribbean sea, change detection analysis, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, north atlantic ocean, ocean, office of coastal management, remotely sensed imagery/photos, st. thomas, u.s. department of commerce, us territory, virgin islands, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Commercial Vessel Density October 2009-2010 AIS UTM19

These data were generated to provide insight into marine traffic patterns on a macro scale so they could be analyzed across the coastal waters of the Continental United States, this data set is for the UTM Zone 19N.  For this dataset a transit is counted for every unique vessel intersecting a 1 kilometer square grid cell each day. This data represents the total number of vessel transits from October 2009 - October 2010. Some grid cells were unable to be processed, but this does not interfere with the integrity of this dataset. 

Please note multiple connection errors occurred during the time frame of this study. In most cases data gaps were filled by making subsequent request to the coastguard or other groups receiving the same data feed. However, due to resource constraints uninterrupted coverage was not obtained. Overall data outages were minimal on the order less than a day per month and because random and affect all areas uniformly do not has a significant effect on the integrity of the data. Also as stated on the USCG NAIS website AIS data is not representative of all vessel traffic and USCG NAIS receivers do not fully cover the entire extent of this study area. Please take time to understand both of these limitations.

Tags: ais, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, human dimensions, national ocean service, noaa, north america, office of coastal management, ship counts, u.s. department of commerce, united states, united states of america, vessel traffic
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
AIS Vessel Tracks 2019

A vessel track shows the location and characteristics of commercial and recreational boats as a sequence of positions transmitted by an Automatic Identification System (AIS). AIS signals are susceptible to interference and this can result in a gap within a vessel track. The distribution, type, and frequency of vessel tracks are a useful aid to understanding the risk of conflicting uses within a certain geographic area. The vessel track positions in this data set are collected and recorded from land-based antennas as part of a national network operated by the U.S. Coast Guard.

Tags: ais, coastal, doc/noaa/nos/ocm, exclusive economic zone, national ocean service, noaa, 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
Submerged Aquatic Vegetation of Bogue Sound, North Carolina 1992 Substrate

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, 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, substrate component, u.s. department of commerce, united states of america, zostera
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
R-Factor for the Conterminous United States

The rainfall-runoff erosivity factor (R-Factor) quantifies the effects of raindrop impacts and reflects the amount and rate of runoff associated with the rain. The R-factor is one of the parameters used by the Revised Unified Soil Loss Equation (RUSLE) to estimate annual rates of erosion. This product is a raster representation of R-Factor derived from isoerodent maps published in the Agriculture Handbook Number 703 (Renard et al.,1997). Lines connecting points of equal rainfall ersoivity are called isoerodents. The iserodents plotted on a map of the coterminous U.S. were digitized, then values between these lines were obtained by linear interpolation. The final R-Factor data are in raster GeoTiff format at 800 meter resolution in Albers Conic Equal Area, GRS80, NAD83.

Tags: agriculture, continent, coterminous united states, doc/noaa/nos/ocm, earth science, environmental monitoring, erosion, erosion/sedimentation, land surface, national ocean service, noaa, north america, office of coastal management, opennspect, r-factor, rainfall-runoff erosivity, revised universal soil loss equation, runoff, rusle, rusle2, soil erosion, soils, surface water, surface water processes/measurements, terrestrial hydrosphere, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2004 C-CAP Land Cover, Territory  of  American Samoa,  West Manua

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 2 partial Quickbird multispectral scenes and were analyzed to detect C-CAP land cover features on West Manua, American Samoa.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, 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, national ocean service, noaa, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, west manua, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce