In 2017, the massive Mud Creek landslide buried a quarter-mile of the famous coastal route, California’s Highway 1, with rocks and dirt more than 65 feet deep. USGS monitors erosion along the landslide-prone cliffs of Big Sur, collecting aerial photos frequently throughout the year.
Images
Pacific Coastal and Marine Science Center images.
In 2017, the massive Mud Creek landslide buried a quarter-mile of the famous coastal route, California’s Highway 1, with rocks and dirt more than 65 feet deep. USGS monitors erosion along the landslide-prone cliffs of Big Sur, collecting aerial photos frequently throughout the year.
Mud Creek landslide "pyramid rock" profile and shoreface erosion
Mud Creek landslide "pyramid rock" profile and shoreface erosionIn 2017, the massive Mud Creek landslide buried a quarter-mile of the famous coastal route, California’s Highway 1, with rocks and dirt more than 65 feet deep. USGS monitors erosion along the landslide-prone cliffs of Big Sur, collecting aerial photos frequently throughout the year.
Mud Creek landslide "pyramid rock" profile and shoreface erosion
Mud Creek landslide "pyramid rock" profile and shoreface erosionIn 2017, the massive Mud Creek landslide buried a quarter-mile of the famous coastal route, California’s Highway 1, with rocks and dirt more than 65 feet deep. USGS monitors erosion along the landslide-prone cliffs of Big Sur, collecting aerial photos frequently throughout the year.
In 2017, the massive Mud Creek landslide buried a quarter-mile of the famous coastal route, California’s Highway 1, with rocks and dirt more than 65 feet deep. USGS monitors erosion along the landslide-prone cliffs of Big Sur, collecting aerial photos frequently throughout the year.
In 2017, the massive Mud Creek landslide buried a quarter-mile of the famous coastal route, California’s Highway 1, with rocks and dirt more than 65 feet deep. USGS monitors erosion along the landslide-prone cliffs of Big Sur, collecting aerial photos frequently throughout the year.
In 2017, the massive Mud Creek landslide buried a quarter-mile of the famous coastal route, California’s Highway 1, with rocks and dirt more than 65 feet deep. USGS monitors erosion along the landslide-prone cliffs of Big Sur, collecting aerial photos frequently throughout the year.
In 2017, the massive Mud Creek landslide buried a quarter-mile of the famous coastal route, California’s Highway 1, with rocks and dirt more than 65 feet deep. USGS monitors erosion along the landslide-prone cliffs of Big Sur, collecting aerial photos frequently throughout the year.
Imagery shows topographic point clouds from photos, first from September 11, 2015 courtesy of California Coastal Records Project, second from March 8, 2017 (USGS photo), third from May 19, 2017 (USGS photo), and fourth from May 27, 2017 (USGS photo) 7 days following the catastrophic Highway 1 landslide.
Imagery shows topographic point clouds from photos, first from September 11, 2015 courtesy of California Coastal Records Project, second from March 8, 2017 (USGS photo), third from May 19, 2017 (USGS photo), and fourth from May 27, 2017 (USGS photo) 7 days following the catastrophic Highway 1 landslide.
USGS air photo of the Mud Creek landslide, taken on May 27, 2017
USGS air photo of the Mud Creek landslide, taken on May 27, 2017USGS air photo of the Mud Creek landslide, taken on May 27, 2017
USGS air photo of the Mud Creek landslide, taken on May 27, 2017
USGS air photo of the Mud Creek landslide, taken on May 27, 2017USGS air photo of the Mud Creek landslide, taken on May 27, 2017
3D maps of air photos show views from before and after the landslide
3D maps of air photos show views from before and after the landslideTopographic “point clouds” (or 3D maps) created by computer processing of air photos show what the Mud Creek area looked like on March 8, 2017 (top), May 19 (center), and May 27 (bottom).
3D maps of air photos show views from before and after the landslide
3D maps of air photos show views from before and after the landslideTopographic “point clouds” (or 3D maps) created by computer processing of air photos show what the Mud Creek area looked like on March 8, 2017 (top), May 19 (center), and May 27 (bottom).
View from an airplane looking at the Mud Creek landslide on the Big Sur coast that occurred May 20, 2017.
View from an airplane looking at the Mud Creek landslide on the Big Sur coast that occurred May 20, 2017.
Still-image from video camera atop the Dream Inn looks eastward over Main Beach and boardwalk in Santa Cruz, CA.
Still-image from video camera atop the Dream Inn looks eastward over Main Beach and boardwalk in Santa Cruz, CA.
“Pixel instruments” on photo of beach in Santa Cruz, California
“Pixel instruments” on photo of beach in Santa Cruz, CaliforniaFrame from video of Cowells Beach in Santa Cruz, California, showing “pixel instruments” measured continuously during the video and used to estimate different coastal processes. The blue dots represent an array of pixels used by a computer program called cBathy to estimate seafloor depths (bathymetry).
“Pixel instruments” on photo of beach in Santa Cruz, California
“Pixel instruments” on photo of beach in Santa Cruz, CaliforniaFrame from video of Cowells Beach in Santa Cruz, California, showing “pixel instruments” measured continuously during the video and used to estimate different coastal processes. The blue dots represent an array of pixels used by a computer program called cBathy to estimate seafloor depths (bathymetry).
Beach-monitoring video cameras atop hotel in Santa Cruz, California
Beach-monitoring video cameras atop hotel in Santa Cruz, CaliforniaUSGS ocean engineer Gerry Hatcher (left) and USGS postdoctoral oceanographer Shawn Harrison make adjustments to a computer controlling two video cameras on the roof of the Dream Inn, a 10-story hotel overlooking Monterey Bay in Santa Cruz, California. One camera looks eastward over Santa Cruz Main Beach and boardwalk, and the other southward over Cowells Beach.
Beach-monitoring video cameras atop hotel in Santa Cruz, California
Beach-monitoring video cameras atop hotel in Santa Cruz, CaliforniaUSGS ocean engineer Gerry Hatcher (left) and USGS postdoctoral oceanographer Shawn Harrison make adjustments to a computer controlling two video cameras on the roof of the Dream Inn, a 10-story hotel overlooking Monterey Bay in Santa Cruz, California. One camera looks eastward over Santa Cruz Main Beach and boardwalk, and the other southward over Cowells Beach.
Time-averaged image from video of beach in Santa Cruz, California
Time-averaged image from video of beach in Santa Cruz, CaliforniaTime-averaged image, or “timex,” created by averaging the intensity of light recorded at each spot, or “pixel,” during a 10-minute video taken at Santa Cruz, California, on May 6, 2017. Blurred white zones show where waves are breaking. Line between wet and dry sand shows the maximum height on the beach reached by the waves (“runup”).
Time-averaged image from video of beach in Santa Cruz, California
Time-averaged image from video of beach in Santa Cruz, CaliforniaTime-averaged image, or “timex,” created by averaging the intensity of light recorded at each spot, or “pixel,” during a 10-minute video taken at Santa Cruz, California, on May 6, 2017. Blurred white zones show where waves are breaking. Line between wet and dry sand shows the maximum height on the beach reached by the waves (“runup”).
Variance image from video of beach in Santa Cruz, California
Variance image from video of beach in Santa Cruz, California“Variance” image produced from video shot at Cowells Beach in Santa Cruz, California, on May 6, 2017. The more the light intensity changes at a given spot, or “pixel,” during the video, the brighter the value assigned to that pixel. Motion tends to produce changes in light intensity. Note bright areas along and beyond the shore where waves were breaking.
Variance image from video of beach in Santa Cruz, California
Variance image from video of beach in Santa Cruz, California“Variance” image produced from video shot at Cowells Beach in Santa Cruz, California, on May 6, 2017. The more the light intensity changes at a given spot, or “pixel,” during the video, the brighter the value assigned to that pixel. Motion tends to produce changes in light intensity. Note bright areas along and beyond the shore where waves were breaking.
“Snapshot” or first frame of beach video, Santa Cruz, California
“Snapshot” or first frame of beach video, Santa Cruz, CaliforniaSnapshot, or first frame of from a 10-minute video taken May 6, 2017, in Santa Cruz, California.
“Snapshot” or first frame of beach video, Santa Cruz, California
“Snapshot” or first frame of beach video, Santa Cruz, CaliforniaSnapshot, or first frame of from a 10-minute video taken May 6, 2017, in Santa Cruz, California.
Measuring topographic change with 4D photogrammetry
Measuring topographic change with 4D photogrammetryProvisional data subject to revision. From the USGS Remote Sensing Coastal Change Project, illustration describes how the USGS measures topographic change with 4D photogrammetry utilizing the techniques of Warrick et al., 2017. A digital terrain model of a coastal cliff is shown with its ground control points.
Measuring topographic change with 4D photogrammetry
Measuring topographic change with 4D photogrammetryProvisional data subject to revision. From the USGS Remote Sensing Coastal Change Project, illustration describes how the USGS measures topographic change with 4D photogrammetry utilizing the techniques of Warrick et al., 2017. A digital terrain model of a coastal cliff is shown with its ground control points.
After mixing about 20 grams of a sediment sample with distilled water, we add strong hydrogen peroxide to break down or "digest" organic matter that may be in the sample. Organic matter makes clay particles stick together and we need them separate in order to calculate accurate particle size fractions of the sample.
After mixing about 20 grams of a sediment sample with distilled water, we add strong hydrogen peroxide to break down or "digest" organic matter that may be in the sample. Organic matter makes clay particles stick together and we need them separate in order to calculate accurate particle size fractions of the sample.
Tips of Brazilian waterweed (Egeria densa) break the surface at low tide in Lindsey Slough in the northern Sacramento-San Joaquin River Delta. More commonly, this invasive plant is completely submerged.
Tips of Brazilian waterweed (Egeria densa) break the surface at low tide in Lindsey Slough in the northern Sacramento-San Joaquin River Delta. More commonly, this invasive plant is completely submerged.
Recovering instrument package from Monterey Canyon
Recovering instrument package from Monterey CanyonOn March 21, 2017, the sediment trap from this instrument package (deployed the previous October into Monterey Canyon) is gone and the mounting frame is mangled, having been exposed to several significant turbidity currents in one deployment.
Recovering instrument package from Monterey Canyon
Recovering instrument package from Monterey CanyonOn March 21, 2017, the sediment trap from this instrument package (deployed the previous October into Monterey Canyon) is gone and the mounting frame is mangled, having been exposed to several significant turbidity currents in one deployment.
We take most cores and samples straight from the loading dock into a large walk-in refrigerator (about 780 square feet), kept at the international core curation standard of 4° C plus or minus 2° C. Each core and sample must be labeled with an identifier and metadata, which follows the material through processing and analysis.
We take most cores and samples straight from the loading dock into a large walk-in refrigerator (about 780 square feet), kept at the international core curation standard of 4° C plus or minus 2° C. Each core and sample must be labeled with an identifier and metadata, which follows the material through processing and analysis.
We slip split cores into a labeled D-tube, and both are stored on specialized core racks in a walk-in sample refrigerator. USGS and non-USGS scientists often use our core and sample archives for new research. Contact the lab manager for access policies and other details.
We slip split cores into a labeled D-tube, and both are stored on specialized core racks in a walk-in sample refrigerator. USGS and non-USGS scientists often use our core and sample archives for new research. Contact the lab manager for access policies and other details.
Washing a sediment sample through two sieves with distilled water lets us measure the fractions of gravel (bigger than 2 millimeters or -1 phi) and sand (2 millimeters to 63 microns, -1 phi to 4 phi). Smaller sediment passes through the sieves into a standard 1-liter graduated cylinder.
Washing a sediment sample through two sieves with distilled water lets us measure the fractions of gravel (bigger than 2 millimeters or -1 phi) and sand (2 millimeters to 63 microns, -1 phi to 4 phi). Smaller sediment passes through the sieves into a standard 1-liter graduated cylinder.