Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Andy Ritchie
Geologist with the USGS Pacific Coastal and Marine Science Center
Science and Products
Remote Sensing Coastal Change
Exploring the USGS Science Data Life Cycle in the Cloud
Suspended-sediment concentration and grain size in the San Lorenzo River, coastal California
Seismic sub-bottom, sediment core and radiocarbon data collected in Ozette Lake, Washington from 2019-2021
Bathymetry and acoustic-backscatter data for Ozette Lake, Washington collected during USGS field activity 2019-622-FA
Chirp sub-bottom data collected in Lake Crescent, Washington during USGS field activity 2019-622-FA
Vegetation and geomorphic surfaces in the Elwha River delta, Washington, after dam removal, derived from 2016 and 2018 aerial imagery and 2007, 2014, and 2018 field surveys
Aerial photogrammetry data and products of the North Carolina coast
Aerial Imagery of the North Carolina Coast: 2020-05-08 to 2020-05-09
Aerial Imagery of the North Carolina Coast: 2020-02-08 to 2020-02-09
Observations of tsunami and runup heights in Santa Cruz Harbor and surrounding beaches from the 2022 Hunga Tonga-Hunga Ha'apai tsunami
Aerial Imagery of the North Carolina Coast: 2019-11-26
Aerial Imagery of the North Carolina Coast: 2019-10-11
Aerial Imagery of the North Carolina Coast: 2019-09-08 to 2019-09-13, Post-Hurricane Dorian
Colored shaded relief bathymetry and acoustic backscatter of Ozette Lake, Washington
California State Waters Map Series: Offshore of Coal Oil Point, California
California State Waters Map Series: offshore of Santa Barbara, California
In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and
California State Waters Map Series: Offshore of Carpinteria, California
California State Waters Map Series — Offshore of Ventura, California
California State Waters Map Series: Offshore of Santa Barbara, California
California State Waters Map Series — Hueneme Canyon and vicinity, California
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
This PlaneCam video was produced by developing animation tracklines in ArcGlobe, using imagery from PlaneCam flights.
This PlaneCam video was produced by developing animation tracklines in ArcGlobe, using imagery from PlaneCam flights.
This PlaneCam video was produced by developing animation tracklines in ArcGlobe, using imagery from PlaneCam flights.
This PlaneCam video was produced by developing animation tracklines in ArcGlobe, using imagery from PlaneCam flights.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
A two-day rainstorm from January 26-28, 2021 caused numerous mudslides, debris flows, and other issues along California's coastal Highway 1 through Big Sur. This section is just north of Kirk Creek, at a drainage where mud was washed across the roadway. Plumes of the muddy runoff are clearly visible in the ocean.
A two-day rainstorm from January 26-28, 2021 caused numerous mudslides, debris flows, and other issues along California's coastal Highway 1 through Big Sur. This section is just north of Kirk Creek, at a drainage where mud was washed across the roadway. Plumes of the muddy runoff are clearly visible in the ocean.
![Photograph of a flooded road in Olympic National Park, Washington, showing a person walking in the shallow water.](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/thumbnails/image/image-8.png?itok=nUTutfWf)
Flooding on a road in Olympic National Park, Washington, on November 24, 2017.
Flooding on a road in Olympic National Park, Washington, on November 24, 2017.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
These PlaneCam videos were produced by developing animation tracklines in ArcGlobe, using imagery and digital elevation models (DEMs) from PlaneCam flights.
These PlaneCam videos were produced by developing animation tracklines in ArcGlobe, using imagery and digital elevation models (DEMs) from PlaneCam flights.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
USGS scientists Amy Draut (left) and Josh Logan set up a ground-based lidar (light detection and ranging) scanner to measure the topography of the lower Elwha River flood plain.
USGS scientists Amy Draut (left) and Josh Logan set up a ground-based lidar (light detection and ranging) scanner to measure the topography of the lower Elwha River flood plain.
Accurate maps of reef-scale bathymetry with synchronized underwater cameras and GNSS
A large sediment accretion wave along a northern California littoral cell
The future of coastal monitoring through satellite remote sensing
Diverse tsunamigenesis triggered by the Hunga Tonga-Hunga Ha’apai eruption
Crowd-sourced SfM: Best practices for high resolution monitoring of coastal cliffs and bluffs
Structure from motion (SfM) photogrammetry is an increasingly common technique for measuring landscape change over time by deriving 3D point clouds and surface models from overlapping photographs. Traditional change detection approaches require photos that are geotagged with a differential GPS (DGPS) location, which requires expensive equipment that can limit the ability of communities and researc
Human-in-the-Loop segmentation of earth surface imagery
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
A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons
Accurate bathymetric maps from underwater digital imagery without ground control
World’s largest dam removal reverses coastal erosion
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
Geomorphic evolution of a gravel‐bed river under sediment‐starved vs. sediment‐rich conditions: River response to the world's largest dam removal
Understanding river response to sediment pulses is a fundamental problem in geomorphic process studies, with myriad implications for river management. However, because large sediment pulses are rare and usually unanticipated, they are seldom studied at field scale. We examine fluvial response to a massive (~20 Mt) sediment pulse released by the largest dam removal globally, on the Elwha River, Was
Agisoft Metashape/Photoscan Automated Image Alignment and Error Reduction version 2.0
Science and Products
Remote Sensing Coastal Change
Exploring the USGS Science Data Life Cycle in the Cloud
Suspended-sediment concentration and grain size in the San Lorenzo River, coastal California
Seismic sub-bottom, sediment core and radiocarbon data collected in Ozette Lake, Washington from 2019-2021
Bathymetry and acoustic-backscatter data for Ozette Lake, Washington collected during USGS field activity 2019-622-FA
Chirp sub-bottom data collected in Lake Crescent, Washington during USGS field activity 2019-622-FA
Vegetation and geomorphic surfaces in the Elwha River delta, Washington, after dam removal, derived from 2016 and 2018 aerial imagery and 2007, 2014, and 2018 field surveys
Aerial photogrammetry data and products of the North Carolina coast
Aerial Imagery of the North Carolina Coast: 2020-05-08 to 2020-05-09
Aerial Imagery of the North Carolina Coast: 2020-02-08 to 2020-02-09
Observations of tsunami and runup heights in Santa Cruz Harbor and surrounding beaches from the 2022 Hunga Tonga-Hunga Ha'apai tsunami
Aerial Imagery of the North Carolina Coast: 2019-11-26
Aerial Imagery of the North Carolina Coast: 2019-10-11
Aerial Imagery of the North Carolina Coast: 2019-09-08 to 2019-09-13, Post-Hurricane Dorian
Colored shaded relief bathymetry and acoustic backscatter of Ozette Lake, Washington
California State Waters Map Series: Offshore of Coal Oil Point, California
California State Waters Map Series: offshore of Santa Barbara, California
In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and
California State Waters Map Series: Offshore of Carpinteria, California
California State Waters Map Series — Offshore of Ventura, California
California State Waters Map Series: Offshore of Santa Barbara, California
California State Waters Map Series — Hueneme Canyon and vicinity, California
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
This PlaneCam video was produced by developing animation tracklines in ArcGlobe, using imagery from PlaneCam flights.
This PlaneCam video was produced by developing animation tracklines in ArcGlobe, using imagery from PlaneCam flights.
This PlaneCam video was produced by developing animation tracklines in ArcGlobe, using imagery from PlaneCam flights.
This PlaneCam video was produced by developing animation tracklines in ArcGlobe, using imagery from PlaneCam flights.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
A two-day rainstorm from January 26-28, 2021 caused numerous mudslides, debris flows, and other issues along California's coastal Highway 1 through Big Sur. This section is just north of Kirk Creek, at a drainage where mud was washed across the roadway. Plumes of the muddy runoff are clearly visible in the ocean.
A two-day rainstorm from January 26-28, 2021 caused numerous mudslides, debris flows, and other issues along California's coastal Highway 1 through Big Sur. This section is just north of Kirk Creek, at a drainage where mud was washed across the roadway. Plumes of the muddy runoff are clearly visible in the ocean.
![Photograph of a flooded road in Olympic National Park, Washington, showing a person walking in the shallow water.](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/thumbnails/image/image-8.png?itok=nUTutfWf)
Flooding on a road in Olympic National Park, Washington, on November 24, 2017.
Flooding on a road in Olympic National Park, Washington, on November 24, 2017.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
These PlaneCam videos were produced by developing animation tracklines in ArcGlobe, using imagery and digital elevation models (DEMs) from PlaneCam flights.
These PlaneCam videos were produced by developing animation tracklines in ArcGlobe, using imagery and digital elevation models (DEMs) from PlaneCam flights.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
Timelapsed photo data is sequenced at about 1 pixel-averaged frame per day, meaning that all of the images from a given day are combined, and the RGB values for a given x/y location on the image are the average of every RGB value for that location for that day.
USGS scientists Amy Draut (left) and Josh Logan set up a ground-based lidar (light detection and ranging) scanner to measure the topography of the lower Elwha River flood plain.
USGS scientists Amy Draut (left) and Josh Logan set up a ground-based lidar (light detection and ranging) scanner to measure the topography of the lower Elwha River flood plain.
Accurate maps of reef-scale bathymetry with synchronized underwater cameras and GNSS
A large sediment accretion wave along a northern California littoral cell
The future of coastal monitoring through satellite remote sensing
Diverse tsunamigenesis triggered by the Hunga Tonga-Hunga Ha’apai eruption
Crowd-sourced SfM: Best practices for high resolution monitoring of coastal cliffs and bluffs
Structure from motion (SfM) photogrammetry is an increasingly common technique for measuring landscape change over time by deriving 3D point clouds and surface models from overlapping photographs. Traditional change detection approaches require photos that are geotagged with a differential GPS (DGPS) location, which requires expensive equipment that can limit the ability of communities and researc
Human-in-the-Loop segmentation of earth surface imagery
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
A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons
Accurate bathymetric maps from underwater digital imagery without ground control
World’s largest dam removal reverses coastal erosion
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
Geomorphic evolution of a gravel‐bed river under sediment‐starved vs. sediment‐rich conditions: River response to the world's largest dam removal
Understanding river response to sediment pulses is a fundamental problem in geomorphic process studies, with myriad implications for river management. However, because large sediment pulses are rare and usually unanticipated, they are seldom studied at field scale. We examine fluvial response to a massive (~20 Mt) sediment pulse released by the largest dam removal globally, on the Elwha River, Was