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Remote Sensing Coastal Change Active

By Pacific Coastal and Marine Science Center March 9, 2022

Fire plus Flood equals Beach

A new study combines decades of coastal satellite imagery with hydrologic and oceanographic data to look at how changes on land affect coastlines in Big Sur, California

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Eyes in the Sky

How Satellite Imagery Transforms Shoreline Monitoring From “Data-Poor” to “Data-Rich”

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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.

Using video imagery to study coastal change

Currently, video cameras are installed at these locations:

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.

Big Sur landslide on May 20, 2017 showing material across Highway 1.
Sources/Usage: Public Domain. Visit Media to see details.
USGS air photo of the Mud Creek landslide, taken on May 27, 2017.
A view from the sky of a winding coastal road that runs along steep, rocky cliffs, with a section washed out and collapsed.
Sources/Usage: Public Domain.
USGS air photo of the Rat Creek landslide, taken on January 29, 2021.

 

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.

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Two adjacent poles holding video cameras near top, one control box near bottom, one man holding small tool near control box.

Using Video Imagery to Study Coastal Change: Santa Cruz Beaches

Two video cameras atop the Dream Inn hotel in Santa Cruz, California, overlook the coast in northern Monterey Bay. One camera looks eastward over Santa Cruz Main Beach and boardwalk, while the other looks southward over Cowells Beach.
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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Using Video Imagery to Study Coastal Change: Santa Cruz Beaches

Two video cameras atop the Dream Inn hotel in Santa Cruz, California, overlook the coast in northern Monterey Bay. One camera looks eastward over Santa Cruz Main Beach and boardwalk, while the other looks southward over Cowells Beach.
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Coastal flowers in foreground up on a beach bluff above flat beach with waves gently lapping, sky is cloudy in the distance.

Using Video Imagery to Study Coastal Change: Sunset State Beach

Two video cameras overlook the coast at Sunset State Beach in Watsonville, California. Camera 1 looks northwest while Camera 2 looks north. The cameras are part of the Remote Sensing Coastal Change project.
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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Using Video Imagery to Study Coastal Change: Sunset State Beach

Two video cameras overlook the coast at Sunset State Beach in Watsonville, California. Camera 1 looks northwest while Camera 2 looks north. The cameras are part of the Remote Sensing Coastal Change project.
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A camera system with two lenses mounted to a pole with wires running down the pole.

Using Video Imagery to Study Sediment Transport and Wave Dynamics: Nuvuk (Point Barrow)

Two coastal observing video cameras are installed atop a utility pole near the northernmost point of land in the United States, at Nuvuk (Point Barrow), Alaska. The cameras point northwest toward the Arctic Ocean and the boundary between the Chukchi and Beaufort Seas, and will be used to observe and quantify coastal processes such as wave run-up, bluff erosion, movement of sandbars and ice floes...
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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Using Video Imagery to Study Sediment Transport and Wave Dynamics: Nuvuk (Point Barrow)

Two coastal observing video cameras are installed atop a utility pole near the northernmost point of land in the United States, at Nuvuk (Point Barrow), Alaska. The cameras point northwest toward the Arctic Ocean and the boundary between the Chukchi and Beaufort Seas, and will be used to observe and quantify coastal processes such as wave run-up, bluff erosion, movement of sandbars and ice floes...
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View of a coastline from a camera that changes every half hour, with calm waters and tundra in foreground.

Using Video Imagery to Study Wave Dynamics: Unalakleet

USGS scientists installed two video cameras atop a windmill tower in Unalakleet, Alaska, pointing westward over Norton Sound, to observe and quantify coastal processes such as wave run-up, development of rip channels, bluff erosion, and movement of sandbars and ice floes.
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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Using Video Imagery to Study Wave Dynamics: Unalakleet

USGS scientists installed two video cameras atop a windmill tower in Unalakleet, Alaska, pointing westward over Norton Sound, to observe and quantify coastal processes such as wave run-up, development of rip channels, bluff erosion, and movement of sandbars and ice floes.
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Equipment attached to a metal frame floats in the water on two buoys while dolphins frolic nearby.

SQUID-5 camera system

The SQUID-5 is a Structure-from-Motion Quantitative Underwater Imaging Device with 5 cameras.
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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SQUID-5 camera system

The SQUID-5 is a Structure-from-Motion Quantitative Underwater Imaging Device with 5 cameras.
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Photograph of Head of the Meadow Beach shoreline camera 2

Using Video Imagery to Study Head of the Meadow Beach

Two video cameras are mounted on a bluff near Head of the Meadow Beach, Cape Cod National Seashore, North Truro, MA. One camera looks alongshore toward the north-northeast, and the second looks directly offshore (northeast). The cameras are part of a U.S. Geological Survey research project to study the beach and nearshore environment shared by beachgoers, shorebirds, seals, and sharks. The work is...
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
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Using Video Imagery to Study Head of the Meadow Beach

Two video cameras are mounted on a bluff near Head of the Meadow Beach, Cape Cod National Seashore, North Truro, MA. One camera looks alongshore toward the north-northeast, and the second looks directly offshore (northeast). The cameras are part of a U.S. Geological Survey research project to study the beach and nearshore environment shared by beachgoers, shorebirds, seals, and sharks. The work is...
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Photograph looking at a sandy beach with waves lapping the shoreline.

Using Video Imagery to Study Marconi Beach

Two video cameras are mounted on a bluff above Marconi Beach, Cape Cod National Seashore, Wellfleet, MA. One camera looks alongshore toward the northeast, and the second looks directly offshore (east). The cameras are part of a U.S. Geological Survey research project to study the beach and nearshore environment shared by beachgoers, shorebirds, seals, and sharks. The work is being conducted under...
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
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Using Video Imagery to Study Marconi Beach

Two video cameras are mounted on a bluff above Marconi Beach, Cape Cod National Seashore, Wellfleet, MA. One camera looks alongshore toward the northeast, and the second looks directly offshore (east). The cameras are part of a U.S. Geological Survey research project to study the beach and nearshore environment shared by beachgoers, shorebirds, seals, and sharks. The work is being conducted under...
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Photograph of California coastal Highway 1 looking north toward Big Sur.

Big Sur Landslides

On California’s Big Sur coast, the steep slopes at Mud Creek suffered a catastrophic collapse (May 20, 2017). On January 28, 2021, heavy rains from a two-day storm caused debris from fire-scarred slopes to wash out another section of road at Rat Creek. USGS scientists are monitoring this 100-mile section of the California coastline, in collaboration with the CA Department of Transportation.
By
Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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Big Sur Landslides

On California’s Big Sur coast, the steep slopes at Mud Creek suffered a catastrophic collapse (May 20, 2017). On January 28, 2021, heavy rains from a two-day storm caused debris from fire-scarred slopes to wash out another section of road at Rat Creek. USGS scientists are monitoring this 100-mile section of the California coastline, in collaboration with the CA Department of Transportation.
Learn More
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A man stands smiling on a high coastal bluff near solar panels and a pole supported by guy wires, with a camera mounted on top.

Using Video Imagery to Study Coastal Change: Barter Island, Alaska

For a short study period, two video cameras overlooked the coast from atop the coastal bluff of Barter Island in northern Alaska. The purpose was to observe and quantify coastal processes such as wave run-up, development of rip channels, bluff erosion, and movement of sandbars and ice floes.
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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Using Video Imagery to Study Coastal Change: Barter Island, Alaska

For a short study period, two video cameras overlooked the coast from atop the coastal bluff of Barter Island in northern Alaska. The purpose was to observe and quantify coastal processes such as wave run-up, development of rip channels, bluff erosion, and movement of sandbars and ice floes.
Learn More
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Big Sur landslide on May 20, 2017 showing material across Highway 1.

The Mud Creek landslide on 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 are monitoring this section of the coastline, in collaboration with the California Department of Transportation.
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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The Mud Creek landslide on 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 are monitoring this section of the coastline, in collaboration with the California Department of Transportation.
Learn More
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Poster laid out with photos, images, and text.

Big Sur Coastal Landslides

Information about USGS Pacific Coastal and Marine Science Center studies on coastal landslides in the Big Sur area
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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Big Sur Coastal Landslides

Information about USGS Pacific Coastal and Marine Science Center studies on coastal landslides in the Big Sur area
Learn More

Data associated with this project

Coast Train--Labeled imagery for training and evaluation of data-driven models for image segmentation

Coast Train is a library of images of coastal environments, annotations, and corresponding thematic label masks (or 'label images') collated for the purposes of training and evaluating machine learning (ML), deep learning, and other models for image segmentation. It includes image sets from both geospatial satellite, aerial, and UAV imagery and orthomosaics, as well as non-geospatial oblique and n
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Point clouds, bathymetric maps, and orthoimagery generated from overlapping lakebed images acquired with the SQUID-5 system near Dollar Point, Lake Tahoe, CA, March 2021

Underwater images were collected in Lake Tahoe, CA, using a recently developed towed-surface vehicle with multiple downward-looking underwater cameras. The system is named the Structure-from-Motion (SfM) Quantitative Underwater Imaging Device with Five Cameras (SQUID-5). The data were collected March 10th and 11th of 2021 to assess the accuracy, precision, and effectiveness of the new SQUID-5 came
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Overlapping lakebed images and associated GNSS locations acquired near Dollar Point, Lake Tahoe, CA, March 2021

Underwater images were collected using a recently developed towed-surface vehicle with multiple downward-looking underwater cameras. The system is named the Structure-from-Motion (SfM) Quantitative Underwater Imaging Device with Five Cameras (SQUID-5). However, there were only 4 cameras operational for this collection due to a cable failure. Images were collected March 10th and 11th of 2021 by tow
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Aerial imagery and structure-from-motion data products from UAS survey of the intertidal zone at Puget Creek and Dickman Mill Park, Ruston Way, Tacoma, WA, June 2019

An unmanned aerial system (UAS) was used to acquire high-resolution imagery of the intertidal zone at Puget Creek and Dickman Mill Park in Tacoma, Washington on June 3, 2019. This imagery was processed using structure-from-motion (SfM) photogrammetric techniques to derive high-resolution digital surface models (DSM), orthomosaic imagery, and topographic point clouds. In order to maximize the exte
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Aerial imagery and structure-from-motion data products from UAS survey of the intertidal zone at Post Point, Bellingham Bay, WA, June 2019

An unmanned aerial system (UAS) was used to acquire high-resolution imagery of the intertidal zone at Post Point in Bellingham Bay, Washington on June 6, 2019. This imagery was processed using structure-from-motion (SfM) photogrammetric techniques to derive high-resolution digital surface models (DSM), orthomosaic imagery, and topographic point clouds. In order to maximize the extent of the suba
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Bathymetry and acoustic-backscatter data collected in 2016 offshore the Elwha River mouth, Washington, during USGS Field Activity 2016-605-FA

This data release provides bathymetry and acoustic-backscatter data collected during a 2016 SWATHPlus-M survey offshore the Elwha River mouth, Strait of Juan de Fuca, Washington. Data were collected and processed by the U.S. Geological Survey, Pacific Coastal and Marine Science Center during field activity 2016-605-FA. This survey, along with two other surveys (Cochrane and others, 2008, Finlayson
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Bathymetry and acoustic backscatter data collected in 2008 offshore Tijuana River Estuary, California during USGS Field Activity S-5-08-SC

In 2008 the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) collected bathymetry and acoustic-backscatter data offshore the Tijuana River Estuary, California. Mapping was conducted as part of the Tijuana Estuary Fine Sediment Fate and Transport Demonstration Project, which was developed by a number of State of California, federal, and private industry partners to p
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

SQUID-5 structure-from-motion point clouds, bathymetric maps, orthomosaics, and underwater photos of coral reefs in Florida, 2019

The new structure-from-motion (SfM) quantitative underwater imaging device with five cameras (SQUID-5) was tested in July 2019 at Crocker Reef in the Florida Keys. The SQUID-5 was developed to meet the unique challenges of collecting SfM underwater imagery, including multiple cameras with different perspectives, accurate geographic locations of images, accurate and precise scaling of derived surfa
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center

Below are multimedia items associated with this project.

Photograph looking at a sandy beach with waves lapping the shoreline.
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View from the sky looking down on a road that runs close to the ocean on a very steep and rocky cliff.
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A view from the sky of a winding coastal road that runs along steep, rocky cliffs, with a section washed out and collapsed.
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View looking out over the ocean water with an island in the distance.
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Image from a video atop a building looking down at a tropical beach with palm trees and gently breaking waves.
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A man stands near cameras mounted on a pole, on top of a building, with a beach in the background.
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View of a coastline from a camera that changes every half hour, with calm waters and tundra in foreground.
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Vegetation in foreground up on a beach bluff above flat beach with waves.
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On a high coastal cliff, a video camera is mounted on a pole and secured to a tree, and down below it's low tide.
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Looks down on beach scene from roof top, with small waves, a pier that extends from beach on left, amusement park in background.
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Cowells Beach in Santa Cruz, California
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Publications associated with this project

Filter Total Items: 15

Fire (plus) flood (equals) beach: Coastal response to an exceptional river sediment discharge event

Wildfire and post-fire rainfall have resounding effects on hillslope processes and sediment yields of mountainous landscapes. Yet, it remains unclear how fire–flood sequences influence downstream coastal littoral systems. It is timely to examine terrestrial–coastal connections because climate change is increasing the frequency, size, and intensity of wildfires, altering precipitation rates, and ac
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Human-in-the-Loop segmentation of earth surface imagery

Segmentation, or the classification of pixels (grid cells) in imagery, is ubiquitously applied in the natural sciences. Manual methods are often prohibitively time-consuming, especially those images consisting of small objects and/or significant spatial heterogeneity of colors or textures. Labeling complicated regions of transition that in Earth surface imagery are represented by collections of mi
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Ecosystems, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Southwest Biological Science Center, St. Petersburg Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center

Labeling poststorm coastal imagery for machine learning: Measurement of interrater agreement

Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data-driven models are only as good as the data used for training, and this points to the importance of high-quality labeled data for developing a ML model that has predictive skill. Labeling data is typically a time-consuming, manual proc
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Ecosystems, Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Southwest Biological Science Center, Woods Hole Coastal and Marine Science Center

Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6—Structure from motion workflow documentation

IntroductionStructure from motion (SFM) has become an integral technique in coastal change assessment; the U.S. Geological Survey (USGS) used Agisoft Metashape Professional Edition photogrammetry software to develop a workflow that processes coastline aerial imagery collected in response to storms since Hurricane Florence in 2018. This report details step-by-step instructions to create three-dimen
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Natural Hazards, Ecosystems, Coastal and Marine Hazards and Resources Program, Maryland-Delaware-D.C. Water Science Center, Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center, Southwest Biological Science Center

A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons

Hurricanes are known to play a critical role in reshaping coastlines, but often only impacts on the open ocean coast are considered, ignoring seaward-directed forces and responses. The identification of subaerial evidence for storm-induced seaward transport is a critical step towards understanding its impact on coastal resiliency. The visual features, found in the National Oceanic and Atmospheric
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center

Littoral sediment from rivers: Patterns, rates and processes of river mouth morphodynamics

Rivers provide important sediment inputs to many littoral cells, thereby replenishing sand and gravel of beaches around the world. However, there is limited information about the patterns and processes of littoral-grade sediment transfer from rivers into coastal systems. Here I address these information gaps by examining topographic and bathymetric data of river mouths and constructing sediment bu
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Cliff Feature Delineation Tool and Baseline Builder version 1.0 user guide

Coastal cliffs constitute 80 percent of the world’s coastline, with seacliffs fronting a large proportion of the U.S. West Coast shoreline, particularly in California. Erosion of coastal cliffs can threaten infrastructure and human life, yet the spatial and temporal scope of cliff studies have been limited by cumbersome traditional methods that rely on the manual interpretation of seacliff feature
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St. Petersburg Coastal and Marine Science Center

Community for data integration 2018 funded project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 10 projects funded in fiscal year 2018, outlining their goals, activities, and accomplishments.
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Science Analytics and Synthesis (SAS), Community for Data Integration (CDI)

Accurate bathymetric maps from underwater digital imagery without ground control

Structure-from-Motion (SfM) photogrammetry can be used with digital underwater photographs to generate high-resolution bathymetry and orthomosaics with millimeter-to-centimeter scale resolution at relatively low cost. Although these products are useful for assessing species diversity and health, they have additional utility for quantifying benthic community structure, such as coral growth and fine
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities

Accurate bathymetric maps from underwater digital imagery without ground control

Structure-from-Motion (SfM) photogrammetry can be used with digital underwater photographs to generate high-resolution bathymetry and orthomosaics with millimeter-to-centimeter scale resolution at relatively low cost. Although these products are useful for assessing species diversity and health, they have additional utility for quantifying benthic community structure, such as coral growth and fine
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities

Optical wave gauging using deep neural networks

We develop a remote wave gauging technique to estimate wave height and period from imagery of waves in the surf zone. In this proof-of-concept study, we apply the same framework to three datasets: the first, a set of close-range monochrome infrared (IR) images of individual nearshore waves at Duck, NC, USA; the second, a set of visible (i.e. RGB) band orthomosaics of a larger nearshore area near S
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Commentary: Variability in shelf sedimentation in response to fluvial sediment supply and coastal erosion over the past 1,000 Years in Monterey Bay, CA, United States

A commentary on: Variability in Shelf Sedimentation in Response to Fluvial Sediment Supply and Coastal Erosion Over the Past 1,000 Years in Monterey Bay, CA, United States. by Carlin J., Addison J., Wagner A., Schwartz V., Hayward J., Severin V. (2019) Front. Earth Sci., 7:113. doi: 10.3389/feart.2019.00113
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Software developed for this project

squid5-software

squid5-software was developed for and is used by the structure-from-motion (SfM) quantitative underwater imaging device with five cameras (SQUID-5) project.

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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Cliff Feature Delineation Tool and Baseline Builder

The Cliff Feature Delineation Tool scans digital elevation models (DEM) to delineate features on seacliffs like the cliff top, midline, toe, and convexities/concavities on the cliff face, outputting linear features as polylines and point shapefiles. 

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Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center

Below are news stories associated with this project.

Filter Total Items: 18
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Fire plus Flood equals Beach

A new study combines decades of coastal satellite imagery with hydrologic and oceanographic data to look at how changes on land affect coastlines in...

Read Article
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Seeking Coastal and Marine Postdoctoral Research Candidates

The U.S. Geological Survey Coastal and Marine Hazards and Resources Program is seeking candidates for several Mendenhall Postdoctoral Research...

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Eyes in the Sky: How Satellite Imagery Transforms Shoreline Monitoring From “Data-Poor” to “Data-Rich”

Monitoring coastal changes is important for the millions of people that live along coasts in the U.S., particularly as climate change hastens coastal...

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Studying flood hazards in San Juan, Puerto Rico

USGS scientists from Pacific Coastal and Marine Science Center, along with with NOAA, the University of Puerto Rico-Mayaguez, and Arrecifes Pro Ciudad...

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USGS coastal flood maps assist emergency planning for Hurricane Lane

As Hurricane Lane approached Hawaiʻi, personnel in the Honolulu Emergency Operations Center on Oahu contacted Curt Storlazzi of the USGS Pacific...

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Hurricane Maria’s impacts on deep-water coral reefs off Puerto Rico

USGS research geologist Curt Storlazzi was quoted in an August 22 Nature news article about Hurricane Maria’s effects on deep-water coral reefs off...

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Time-lapse view of California Highway 1 reconstruction after 2017 landslide

USGS scientists produced an animated GIF in coordination with the California Department of Transportation (Caltrans) re-opening of State Highway 1...

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Video cameras monitor coastal change on Whidbey Island, Washington

Video cameras installed by the USGS Remote Sensing Coastal Change project overlook the coast on Whidbey Island, Washington, about 25 miles north of...

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LA Times story about Big Sur landslide features quotes, imagery from USGS

USGS geologists Jon Warrick and Kevin Schmidt are quoted in a November 9, 2017 Los Angeles Times story.

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Eyes on the Coast—Video Cameras Help Forecast Coastal Change

Coastal communities count on beaches for recreation and for protection from large waves, but beaches are vulnerable to threats such as erosion by...

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Video shot from drones yields details about changing landslide on California’s Big Sur coast

On October 12, 2017, USGS unmanned aerial systems collected video footage of the Mud Creek landslide, which buried California State Highway 1 under a...

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USGS maps underwater part of Big Sur landslide at Mud Creek

Scientists from the USGS Pacific Coastal and Marine Science Center mapped the offshore extent of the Mud Creek landslide on California’s Big Sur coast...

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