Perspective view of part of the Big Sur Bend in the San Gregorio-Hosgri fault. The steep slope beside the fault results from uplift along the fault, which is part of the strike-slip fault system that forms the boundary in California between the Pacific and North American tectonic plates.
Images
Images related to natural hazards.
Perspective view of part of the Big Sur Bend in the San Gregorio-Hosgri fault. The steep slope beside the fault results from uplift along the fault, which is part of the strike-slip fault system that forms the boundary in California between the Pacific and North American tectonic plates.
Landslide near Potter Hill, Anchorage, Alaska, after 2018 Anchorage earthquake.
Landslide near Potter Hill, Anchorage, Alaska, after 2018 Anchorage earthquake.
RV Petrel towing subbottom profiler (yellow raft) parallel to the beach to measure the thickness of sand offshore.
RV Petrel towing subbottom profiler (yellow raft) parallel to the beach to measure the thickness of sand offshore.
A WHCMSC and WHOI team recovered six intermediate period ocean bottom seismographs from the continental slope offshore New England in Georges Bank. The instruments had been deployed for about ten months to record background, ambient seismic noise.
A WHCMSC and WHOI team recovered six intermediate period ocean bottom seismographs from the continental slope offshore New England in Georges Bank. The instruments had been deployed for about ten months to record background, ambient seismic noise.
Three-dimensional model of Chimney Bluffs, New York along Lake Ontari
Three-dimensional model of Chimney Bluffs, New York along Lake OntariThree-dimensional model of Chimney Bluffs, New York along Lake Ontario created from low-altitude digital images collected from an unmanned aerial system (UAS).
Three-dimensional model of Chimney Bluffs, New York along Lake Ontari
Three-dimensional model of Chimney Bluffs, New York along Lake OntariThree-dimensional model of Chimney Bluffs, New York along Lake Ontario created from low-altitude digital images collected from an unmanned aerial system (UAS).
Coastal bathymetry, St. Thomas, US Virgin Islands, mapped using lidar
Coastal bathymetry, St. Thomas, US Virgin Islands, mapped using lidarCoastal bathymetry, St. Thomas, US Virgin Islands, mapped using lidar and depicted with false-color (purple is deep, orange is shallow). Land areas are depicted with satellite imagery.
Coastal bathymetry, St. Thomas, US Virgin Islands, mapped using lidar
Coastal bathymetry, St. Thomas, US Virgin Islands, mapped using lidarCoastal bathymetry, St. Thomas, US Virgin Islands, mapped using lidar and depicted with false-color (purple is deep, orange is shallow). Land areas are depicted with satellite imagery.
Views of Mauna Loa Volcano during clear weather day and on day when...
Views of Mauna Loa Volcano during clear weather day and on day when...These views of Mauna Loa are from near the Hawaiian Volcano Observatory looking toward the west. The view on left is typical during strong trade winds that blow the plume from Halema‘uma‘u Crater southwest of the summit area. The view on right is common during slack winds that allow vog conditions to develop in the summit area of Kīlauea.
Views of Mauna Loa Volcano during clear weather day and on day when...
Views of Mauna Loa Volcano during clear weather day and on day when...These views of Mauna Loa are from near the Hawaiian Volcano Observatory looking toward the west. The view on left is typical during strong trade winds that blow the plume from Halema‘uma‘u Crater southwest of the summit area. The view on right is common during slack winds that allow vog conditions to develop in the summit area of Kīlauea.
SEABed Observation and Sampling System (SEABOSS) (center image) and the MiniSEABOSS (right) designed for rapid, inexpensive, and effective collection of seabed imagery (photographs and video) as well sediment samples from the coastal/inner-continental shelf regions.
SEABed Observation and Sampling System (SEABOSS) (center image) and the MiniSEABOSS (right) designed for rapid, inexpensive, and effective collection of seabed imagery (photographs and video) as well sediment samples from the coastal/inner-continental shelf regions.
Department of Interior UAS pilots from left to right – Elizabeth Pendleton (USGS, Woods Hole, MA), Colin Milone (Office of Aviation Services, AK), John Vogel (USGS; Flagstaff, AZ), Sandy Brosnahan (USGS, Woods Hole, MA), Brandon Forbes (USGS; Tucson, AZ), Chris Holmquist-Johnson (USGS; Fort Collins, CO),&nb
Department of Interior UAS pilots from left to right – Elizabeth Pendleton (USGS, Woods Hole, MA), Colin Milone (Office of Aviation Services, AK), John Vogel (USGS; Flagstaff, AZ), Sandy Brosnahan (USGS, Woods Hole, MA), Brandon Forbes (USGS; Tucson, AZ), Chris Holmquist-Johnson (USGS; Fort Collins, CO),&nb
Map of volcano threat category designated by color
Map of volcano threat category designated by colorMap showing the locations of all U.S. volcanoes with their threat category designated by color. Very high threat is red, high is orange, moderate is yellow, low is green, and very low is blue.
Map of volcano threat category designated by color
Map of volcano threat category designated by colorMap showing the locations of all U.S. volcanoes with their threat category designated by color. Very high threat is red, high is orange, moderate is yellow, low is green, and very low is blue.
Sediment textures distribution from Nantucket and Marthas Vineyard, MA
Sediment textures distribution from Nantucket and Marthas Vineyard, MAThe distribution of sediment textures within the study area. The bottom-type classification is from Barnhardt and others (1998) and is based on 16 sediment classes. The classification is based on four sediment units that include gravel (G), mud (M), rock (R), and sand (S). If the texture is greater than 90 percent, it is labeled with a single letter.
Sediment textures distribution from Nantucket and Marthas Vineyard, MA
Sediment textures distribution from Nantucket and Marthas Vineyard, MAThe distribution of sediment textures within the study area. The bottom-type classification is from Barnhardt and others (1998) and is based on 16 sediment classes. The classification is based on four sediment units that include gravel (G), mud (M), rock (R), and sand (S). If the texture is greater than 90 percent, it is labeled with a single letter.
Deployment of the chirp seismic instrument from the beach
Deployment of the chirp seismic instrument from the beachMost underwater seismic data is collected from large research vessels; however, the shoreface environment is shallower than areas in which most seismic surveys occur. To get the information we need to assess changes in shoreface geology, we mount our seismic instruments on pontoon floats and deploy the instrument from the beach.
Deployment of the chirp seismic instrument from the beach
Deployment of the chirp seismic instrument from the beachMost underwater seismic data is collected from large research vessels; however, the shoreface environment is shallower than areas in which most seismic surveys occur. To get the information we need to assess changes in shoreface geology, we mount our seismic instruments on pontoon floats and deploy the instrument from the beach.
Seismic instrument on pontoon floats deployed from the beach
Seismic instrument on pontoon floats deployed from the beachWe mount our seismic instrument on pontoon floats with wheels. This setup is deployed from the beach and eventually towed behind our survey vessel.
Seismic instrument on pontoon floats deployed from the beach
Seismic instrument on pontoon floats deployed from the beachWe mount our seismic instrument on pontoon floats with wheels. This setup is deployed from the beach and eventually towed behind our survey vessel.
HayWIred scenario earthquake map.
HayWIred scenario earthquake map.
Map showing probablity of landslides based on the HayWired scenario.
Map showing probablity of landslides based on the HayWired scenario.
Map showing ground shaking that would result from the HayWired earthquake scenario.
Map showing ground shaking that would result from the HayWired earthquake scenario.
USGS unmanned aerial system (uas) mapping team on the beach in Dauphin Island, Alabama
USGS unmanned aerial system (uas) mapping team on the beach in Dauphin Island, Alabama
Perspective lidar view of coastal bathymetry at St. Thomas, USVI
Perspective lidar view of coastal bathymetry at St. Thomas, USVIPerspective view of coastal bathymetry looking onshore, St. Thomas, US Virgin Islands, mapped using lidar and depicted with false-color, showing detailed submerged features, including coral reefs.
Perspective lidar view of coastal bathymetry at St. Thomas, USVI
Perspective lidar view of coastal bathymetry at St. Thomas, USVIPerspective view of coastal bathymetry looking onshore, St. Thomas, US Virgin Islands, mapped using lidar and depicted with false-color, showing detailed submerged features, including coral reefs.
A view into the center of Pu‘u ‘Ō‘ō. Collapses on th
A view into the center of Pu‘u ‘Ō‘ō. Collapses on thA view into the center of Pu‘u ‘Ō‘ō. Collapses on the crater walls have enlarged sections of the crater and filled the bottom of the crater with rockfall debris. The deepest portion of the crater is about 286 m (938 ft) below the crater floor that existed prior to the collapse on April 30, 2018. Steam rises from the loose rock on the crater floor. USGS image by F.
A view into the center of Pu‘u ‘Ō‘ō. Collapses on th
A view into the center of Pu‘u ‘Ō‘ō. Collapses on thA view into the center of Pu‘u ‘Ō‘ō. Collapses on the crater walls have enlarged sections of the crater and filled the bottom of the crater with rockfall debris. The deepest portion of the crater is about 286 m (938 ft) below the crater floor that existed prior to the collapse on April 30, 2018. Steam rises from the loose rock on the crater floor. USGS image by F.
On May 7, 2019, field crews visited a telemetry hub on the rim of Pu‘u ‘Ō‘ō to assess damage after a small collapse on May 1. During the overflight, photos and observations were made of the Pu‘u ‘Ō‘ō crater. The crater walls expose a clear sequence of lava flows and cinder that built the cone in the early 1980s. USGS image by F. Younger.
On May 7, 2019, field crews visited a telemetry hub on the rim of Pu‘u ‘Ō‘ō to assess damage after a small collapse on May 1. During the overflight, photos and observations were made of the Pu‘u ‘Ō‘ō crater. The crater walls expose a clear sequence of lava flows and cinder that built the cone in the early 1980s. USGS image by F. Younger.