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Location Folder Show Tree ROOT _ScienceBase Catalog 3DSC Alaska Science Center (ASC) Alkalic Igneous Centers of the Great Plains and Rocky Mountains: Data in Support of Critical Mineral Resource Studies AMMonitor: Remote wildlife monitoring for adaptive management Amphibian Research and Monitoring Initiative More... Filters Date Range Past year (6) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (7) Budget (1) Project (1) Types Downloadable (7) GeoTIFF (7) Raster (7) Citation (2) OGC WFS Layer (1) OGC WMS Layer (1) OGC WMS Service (1) Contacts Travis K Sterne Rachel E Henderson Woods Hole Coastal and Marine Science Center Coastal and Marine Hazards and Resources Program Natural Hazards More... Categories Data (7) Project (1) Tag Types Theme (7) Place (7) CMS Themes (1) CMS Topics (1) CMS Status (1) Community (1) Fiscal Year (1) More... Tag Schemes None (7) ISO 19115 Topic Category (7) USGS Thesaurus (7) https://www.sciencebase.gov/vocab/category/WRET/CMS_Themes/CASC_CMS_Themes (1) https://www.sciencebase.gov/vocab/category/WRET/CMS_Topics/CASC_CMS_Topics (1) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/FiscalYear (1) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (1) More... View Results as: JSON ATOM CSV Browse Folder

Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Event Hazards Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, Fewer tags Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Maximum Change Likelihood Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, Fewer tags Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Hazard Impact Type Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, thbbt, Fewer tags High-resolution orthomosaic image (natural color) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF) Imagery acquired with unmanned aerial systems (UAS) and coupled with structure-from-motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are particularly useful for data collection of coastal systems, which requires high temporal and spatial resolution datasets. The U.S. Geological Survey worked in collaboration with members of the Marine Biological Laboratory and Woods Hole Analytics at Black Beach, in Falmouth, Massachusetts to explore scientific research demands on UAS technology for topographic and habitat mapping applications. This project explored the application of consumer-grade UAS platforms... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Airborne high resolution data, Airborne imagery, Atlantic Ocean, Black Beach, Buzzards Bay, All tags... CMGP, Cape Cod, Coastal and Marine Geology Program, DJI Phantom 3, Digital aerial imagery, Falmouth, GeoTIFF, Great Sippewissett Inlet, Great Sippewissett Marsh, Gridded Data, Massachusetts, Natural color, Orthoimagery, Three band image mosaic, U.S. Geological Survey, UAS, USGS, WHCMSC, Woods Hole Coastal and Marine Science Center, aerial images, aerial photography, drone, environment, field activity number 2016-010-FA, geoscientificInformation, geospatial datasets, imageryBaseMapsEarthCover, inlandWaters, oceans, unmanned aerial system, Fewer tags Digital elevation model (DEM) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF) Imagery acquired with unmanned aerial systems (UAS) and coupled with structure-from-motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are particularly useful for data collection of coastal systems, which requires high temporal and spatial resolution datasets. The U.S. Geological Survey worked in collaboration with members of the Marine Biological Laboratory and Woods Hole Analytics at Black Beach, in Falmouth, Massachusetts to explore scientific research demands on UAS technology for topographic and habitat mapping applications. This project explored the application of consumer-grade UAS platforms... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Atlantic Ocean, Black Beach, Buzzards Bay, CMGP, Cape Cod, All tags... Coastal and Marine Geology Program, Elevation, Falmouth, Great Sippewissett Inlet, Great Sippewissett Marsh, Gridded Data, Massachusetts, Structure-from-Motion, U.S. Geological Survey, UAS, USGS, WHCMSC, Woods Hole Coastal and Marine Science Center, aerial images, digital elevation models, drone, elevation, field activity number 2016-010-FA, geoscientificInformation, geospatial datasets, imageryBaseMapsEarthCover, oceans, unmanned aerial system, Fewer tags Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Perpetual Hazards Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, Fewer tags Mapping Coastal Change Using Unmanned Aerial Systems: A Pilot Study Beaches and marshes provide critical habitat for many species of concern, including the piping plover, a shorebird which is endangered in parts of its range and threatened in others. These coastal environments also support tourism and recreation, and provide important services such as protecting infrastructure from wave inundation. Extreme storms and sea-level rise can alter these habitats, with implications for the species and communities that rely on them. This project seeks to test the utility of Unmanned Aerial Systems (UAS) for mapping and monitoring changes in coastal ecosystems. UAS provide a low-cost, low-risk means of acquiring high-resolution data when compared to on-the-ground fieldwork or traditional... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2015, CASC, Completed, Northeast, Northeast CASC, All tags... Projects by Region, Sea-Level Rise and Coasts, Sea-Level Rise and Coasts, Water, Coasts and Ice, Water, Coasts and Ice, Fewer tags Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Fabric Dataset Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, Fewer tags