Images

Two images are provided of the Regent’s landslide of Big Sur, California during Feb. 23 and April 6, 2024. The first image shows oblique perspectives of the landscape topography colored by the actual colors from the photographs. The second image shows shaded relief topography of the landscape during Feb.

Two images are provided of the Regent’s landslide of Big Sur, California during Feb. 23 and April 6, 2024. The first image shows oblique perspectives of the landscape topography colored by the actual colors from the photographs. The second image shows shaded relief topography of the landscape during Feb.

Two images are provided of the Rocky Creek landslide that resulted in closure of California State Highway 1. The images above show views of the Rocky Creek landslide, California before (Feb. 23, 2024) and after (April 6, 2024) the slope failure. Images show oblique perspectives of the landscape topography colored by the actual colors from the photographs.

Three images are provided of Paul’s landslide of Big Sur, California during Feb. 23 and April 6, 2024. The first two images show different oblique perspectives of the landscape topography colored by the actual colors from the photographs.  The third image shows shaded relief topography of the landscape during Feb.

An image is provided of the Willow Creek landslide of Big Sur, California during Feb. 23 and April 6, 2024. Images show oblique perspectives of the landscape topography colored by the actual colors from the photographs. All 3-dimensional landscape data derived by USGS photogrammetry techniques. 

One image is provided of a landslide near the Monterey-San Luis Obispo County line of Big Sur, California during Feb. 23 and April 6, 2024. The image shows shaded relief topography of the landscape during Feb. 23 and April 6, 2024, and the total topographic change between these dates, which shows both erosion (red) and accretion (blue) of the landscape.

Three images are provided of Mud Creek landslide of Big Sur, California during Feb. 23 and April 6, 2024. The first two images show different oblique perspectives of the landscape topography colored by the actual colors from the photographs. The third image shows shaded relief topography of the landscape during Feb.

An image is provided of the Regent’s landslide of Big Sur, California during Feb. 23 and April 6, 2024. Images show oblique perspectives of the landscape topography colored by the actual colors from the photographs. All 3-dimensional landscape data derived by USGS photogrammetry techniques. 

Suspension-feeder isoscapes of Baltimore (A, C) and Norfolk (B, D) canyons with coral distributions outlined in white. Colors represent the different isotopes with cool colors (blues, greens) for δ¹³C data (A, B) and warm colors (pinks, purples) for δ¹⁵N data (C, D), both in ‰.

Location of (A) Baltimore and (B) Norfolk canyons and adjacent slope environments along the U.S. Mid-Atlantic margin. The bathymetry represents 25 m gridded multibeam data with contour lines at every 100 m. Colors on the bathymetric scale represent depth from shallow (red) to deep (blue).

Aerial photo of Bair Islands State Marine Park, San Mateo County, California, in April 2020.

Location of the study area and details of the simulated restorations. (A) and (B) Location of this study, shown by the red dot in (A) and the orange line in (B).

Figure showing spatial distribution of economic and social flood reduction benefits of marsh restoration with sea level rise, from the study The value of marsh restoration for flood risk reduction in an urban estuary

Underwater view of wave breaking on fringing reef flat on Ofu, American Samoa, within the National Park of American Samoa.

DSAS generates transects that are cast perpendicular to the reference baseline to intersect shorelines at a user-specified spacing alongshore. Please note that the figure above illustrates the placement of both onshore and offshore baselines as examples. In DSAS v6.0 all baselines in a file must be placed either offshore or onshore, not combined.

The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS.  Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.

Black and white images show damage caused by the 1964 earthquake and tsunami in Valdez, Alaska.

Map of the Columbia River Littoral Cell showing validation sites where beach profile surveys (white dots) have been conducted. The labels of some of the transects at the edge of each subcell are displayed.

The images above show views of the Mud Creek landslide, California before (June 8, 2023) and after (Feb. 23, 2024) the 2024 winter season. Images show shaded-relief views of the 3-dimensional landscape data derived by USGS photogrammetry techniques.

Images show the same views of the Mud Creek landslide, California before and after the winter 2024 season. Vertical change shows both erosion (red) and accretion (blue), which reveals changes to the landscape.

Photographs, CT scans and stereomicroscope images of cores ROV22PC01 (a) and ROV22PC04 (b) illustrating the discrimination between sediments which were accumulated dominantly through mass wasting (a) and sediments accumulated through plume fallout (b).