Aerial view of a southeast Louisiana coastal marsh
Aerial view of a southeast Louisiana coastal marshAerial view of a southeast Louisiana coastal marsh.
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Images related to natural hazards.
Aerial view of a southeast Louisiana coastal marsh.
Aerial view of a southeast Louisiana coastal marsh.
East end of Fire Island, showing white sandy beaches and marshes, depicted with airborne imagery, and lidar-derived bathymetric features in the estuary behind the island, in the offshore region, and in the channel connecting the estuary to the ocean.
East end of Fire Island, showing white sandy beaches and marshes, depicted with airborne imagery, and lidar-derived bathymetric features in the estuary behind the island, in the offshore region, and in the channel connecting the estuary to the ocean.
USGS Pacific Coastal and Marine Science Center in Santa Cruz, California installed these two video cameras, pointed at the shoreline. The cameras collected imagery every half hour for 10 minutes, during daylight hours. The images are stored in the cloud and are used to study coastal variations through time, like wave, shoreline, and sandbar dynamics.
USGS Pacific Coastal and Marine Science Center in Santa Cruz, California installed these two video cameras, pointed at the shoreline. The cameras collected imagery every half hour for 10 minutes, during daylight hours. The images are stored in the cloud and are used to study coastal variations through time, like wave, shoreline, and sandbar dynamics.
R/V Petrel surveying off Beach Haven, NJ during USGS FA 2018-001-FA
R/V Petrel surveying off Beach Haven, NJ during USGS FA 2018-001-FA
Screenshot of Our Coast, Our Future (OCOF) interactive map view of Stinson Beach, California, showing extent of flooding predicted if subjected to a sea-level rise of 100 centimeters (about 40 inches) and elevated water levels caused by a 100-year storm.
Screenshot of Our Coast, Our Future (OCOF) interactive map view of Stinson Beach, California, showing extent of flooding predicted if subjected to a sea-level rise of 100 centimeters (about 40 inches) and elevated water levels caused by a 100-year storm.
Clear day view of Mauna Loa during tradewind conditions from the summit of Kīlauea Volcano.
Clear day view of Mauna Loa during tradewind conditions from the summit of Kīlauea Volcano.
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.
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 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 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.
The 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.
The 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.
Most 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.
Most 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.
We mount our seismic instrument on pontoon floats with wheels. This setup is deployed from the beach and eventually towed behind our survey vessel.
We mount our seismic instrument on pontoon floats with wheels. This setup is deployed from the beach and eventually towed behind our survey vessel.
Three-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 Ontario created from low-altitude digital images collected from an unmanned aerial system (UAS).
Coastal 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 and depicted with false-color (purple is deep, orange is shallow). Land areas are depicted with satellite imagery.
A USGS electronics technician performs maintenance on a ShakeAlert Earthquake Early Warning (EEW) sensor station, located in the San Francisco Bay Area. ShakeAlert station components include strong-motion accelerometers, solar panel and battery power systems, and communications & telemetry equipment for communication with the wider ShakeAlert network.
A USGS electronics technician performs maintenance on a ShakeAlert Earthquake Early Warning (EEW) sensor station, located in the San Francisco Bay Area. ShakeAlert station components include strong-motion accelerometers, solar panel and battery power systems, and communications & telemetry equipment for communication with the wider ShakeAlert network.
Mount Shasta, a steep-sided Cascade Range stratovolcano in Northern California, looms above Little Glass Mountain, a thick obsidian flow erupted from the Medicine Lake shield volcano about 1,000 years ago. These are just two of the young volcanic areas monitored by the USGS California Volcano Observatory. USGS photo.
Mount Shasta, a steep-sided Cascade Range stratovolcano in Northern California, looms above Little Glass Mountain, a thick obsidian flow erupted from the Medicine Lake shield volcano about 1,000 years ago. These are just two of the young volcanic areas monitored by the USGS California Volcano Observatory. USGS photo.
Geologic sections (C-C', D-D', and E-E') illustrating the general distributions and thicknesses of seismic stratigraphic units and major unconformities in the Martha’s Vineyard and Nantucket study areas.
Geologic sections (C-C', D-D', and E-E') illustrating the general distributions and thicknesses of seismic stratigraphic units and major unconformities in the Martha’s Vineyard and Nantucket study areas.
Shaded-relief map of central California showing location of the Big Sur area (white dashed line). Red line shows the San Gregorio-Hosgri fault (SGHF) and the Big Sur Bend between Point Sur (PS) and Piedras Blancas (PB). Black lines show other faults.
Shaded-relief map of central California showing location of the Big Sur area (white dashed line). Red line shows the San Gregorio-Hosgri fault (SGHF) and the Big Sur Bend between Point Sur (PS) and Piedras Blancas (PB). Black lines show other faults.
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.
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.