We use remote-sensing technologies—such as aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)—to measure coastal change along U.S. shorelines.
Quantifying coastal change is essential for calculating trends in erosion, evaluating processes that shape coastal landscapes, and predicting how the coast will respond to future storms and sea-level rise, all critical for U.S. coastal communities.
Rapid developments have occurred in remote-sensing technologies during the 21st century. With our collaborators in and beyond the Department of the Interior, we seek to apply these technologies in innovative ways to advance understanding of coastal systems and their hazards.
Seafloor mapping technology
Ocean Engineer Gerry Hatcher of the Pacific Coastal and Marine Science Center (PCMSC) and Dave Zawada of the St. Petersburg Coastal and Marine Science Center (SPCMSC) are two of the lead scientists behind the creation of the “Structure-from-Motion Quantitative Underwater Imaging Device with 5 Cameras” system, or SQUID-5. The SQUID-5 is the product of a cross-center partnership. The Remote Sensing Coastal Change team at PCMSC has engineered the device, and the the Processes Impacting Seafloor Change and Ecosystem Services team (PISCES) at SPCMSC is tasked with its deployment and data collection.
Using video imagery to study coastal change
Currently, video cameras are installed at these locations:
- Dream Inn hotel in Santa Cruz, California
- Head of the Meadow Beach, Massachusetts
- Marconi Beach, Massachusetts
- Norton Sound, Unalakleet, Alaska
- Nuvuk (Point Barrow), Alaska
- Sunset State Beach, California
USGS researchers analyze the imagery and video collected from these cameras in order to remotely sense a range of processes, which include shoreline position, sandbar migration, rip-channel formation, wave run-up on the beach, alongshore current, and nearshore bathymetry.
USGS plans to install additional systems at other U.S. locations. The knowledge gained will improve computer-derived simulations of coastal flooding and shoreline change that communities can use to plan for sea-level rise, changing storm patterns, and other threats to beaches.
Photogrammetry of California’s Big Sur coast
On May 20, 2017, the steep slopes at Mud Creek on California’s Big Sur coast, about 140 miles south of San Francisco, suffered a catastrophic collapse. USGS scientists from the Pacific Coastal and Marine and the Geology, Minerals, Energy, and Geophysics Science Centers continue to monitor this section of the coastline, in collaboration with the California Department of Transportation.
On January 28, 2021, following a two-day deluge of heavy rain totalling more than 8 inches, another catastrophic failure and complete washout of Highway 1 occurred at Rat Creek, about 12 miles north of Mud Creek. USGS once again flew a reconnaissance flight along the coast on January 29, collecting highly detailed photography of much of the Big Sur coastline.

We are using video imagery, scanned aerial photographs, digital images collected from fixed-wing aircraft, and digital images collected from multi-rotor UAS to study coastal processes.
Data associated with this project
Below are multimedia items associated with this project.
Tracking Coastal Change with Photogrammetry
Monitoring coastal changes is important for the millions of people that live along coasts in the United States, particularly as climate change hastens coastal erosion by raising sea levels and fueling powerful storms.
Publications associated with this project
Characterizing the catastrophic 2017 Mud Creek Landslide, California, using repeat Structure-from-Motion (SfM) photogrammetry
Along the rugged coast of Big Sur, California, the Mud Creek landslide failed catastrophically on May 20, 2017 and destroyed over 400 m of scenic California State Highway 1. We collected structure-from-motion (SfM) photogrammetry data using airborne platforms that, when combined with existing airborne lidar data, revealed that the area exhibited significant topographic change and displacement befo
Software developed for this project
Below are news stories associated with this project.
- Overview
We use remote-sensing technologies—such as aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)—to measure coastal change along U.S. shorelines.
Quantifying coastal change is essential for calculating trends in erosion, evaluating processes that shape coastal landscapes, and predicting how the coast will respond to future storms and sea-level rise, all critical for U.S. coastal communities.
Rapid developments have occurred in remote-sensing technologies during the 21st century. With our collaborators in and beyond the Department of the Interior, we seek to apply these technologies in innovative ways to advance understanding of coastal systems and their hazards.
Seafloor mapping technology
Curious dolphins frolic nearby as SQUID-5 is towed from a boat. Ocean Engineer Gerry Hatcher of the Pacific Coastal and Marine Science Center (PCMSC) and Dave Zawada of the St. Petersburg Coastal and Marine Science Center (SPCMSC) are two of the lead scientists behind the creation of the “Structure-from-Motion Quantitative Underwater Imaging Device with 5 Cameras” system, or SQUID-5. The SQUID-5 is the product of a cross-center partnership. The Remote Sensing Coastal Change team at PCMSC has engineered the device, and the the Processes Impacting Seafloor Change and Ecosystem Services team (PISCES) at SPCMSC is tasked with its deployment and data collection.
Using video imagery to study coastal change
Gerry Hatcher (left) and Shawn Harrison work on their video-camera station atop a hotel in Santa Cruz, California. Currently, video cameras are installed at these locations:
- Dream Inn hotel in Santa Cruz, California
- Head of the Meadow Beach, Massachusetts
- Marconi Beach, Massachusetts
- Norton Sound, Unalakleet, Alaska
- Nuvuk (Point Barrow), Alaska
- Sunset State Beach, California
USGS researchers analyze the imagery and video collected from these cameras in order to remotely sense a range of processes, which include shoreline position, sandbar migration, rip-channel formation, wave run-up on the beach, alongshore current, and nearshore bathymetry.
USGS plans to install additional systems at other U.S. locations. The knowledge gained will improve computer-derived simulations of coastal flooding and shoreline change that communities can use to plan for sea-level rise, changing storm patterns, and other threats to beaches.
Photogrammetry of California’s Big Sur coast
Special camera rig and precision GPS receiver (right) designed to take Structure from Motion photos from a small airplane. On May 20, 2017, the steep slopes at Mud Creek on California’s Big Sur coast, about 140 miles south of San Francisco, suffered a catastrophic collapse. USGS scientists from the Pacific Coastal and Marine and the Geology, Minerals, Energy, and Geophysics Science Centers continue to monitor this section of the coastline, in collaboration with the California Department of Transportation.
On January 28, 2021, following a two-day deluge of heavy rain totalling more than 8 inches, another catastrophic failure and complete washout of Highway 1 occurred at Rat Creek, about 12 miles north of Mud Creek. USGS once again flew a reconnaissance flight along the coast on January 29, collecting highly detailed photography of much of the Big Sur coastline.
Sources/Usage: Public Domain. Visit Media to see details.USGS air photo of the Mud Creek landslide, taken on May 27, 2017. USGS air photo of the Rat Creek landslide, taken on January 29, 2021. - Science
We are using video imagery, scanned aerial photographs, digital images collected from fixed-wing aircraft, and digital images collected from multi-rotor UAS to study coastal processes.
- Data
Data associated with this project
- Multimedia
Below are multimedia items associated with this project.
Tracking Coastal Change with Photogrammetry
Monitoring coastal changes is important for the millions of people that live along coasts in the United States, particularly as climate change hastens coastal erosion by raising sea levels and fueling powerful storms.
- Publications
Publications associated with this project
Filter Total Items: 15Characterizing the catastrophic 2017 Mud Creek Landslide, California, using repeat Structure-from-Motion (SfM) photogrammetry
Along the rugged coast of Big Sur, California, the Mud Creek landslide failed catastrophically on May 20, 2017 and destroyed over 400 m of scenic California State Highway 1. We collected structure-from-motion (SfM) photogrammetry data using airborne platforms that, when combined with existing airborne lidar data, revealed that the area exhibited significant topographic change and displacement befo
- Software
Software developed for this project
- News
Below are news stories associated with this project.
Filter Total Items: 24