This video is an introduction of the USGS Northeast Region's science efforts to support society's evolving needs through its engaged and diverse workforce.
Jin-Si R Over
Jin-Si Over is a geographer with the Woods Hole Coastal and Marine Science Center. A drone pilot and structure-from-motion specialist, she supports the Remote Sensing Coastal Change group and Aerial Imaging and Mapping group with GIS and surveying experience.
I have a background in micro-paleontology and working in coastal paleo-environments but gained more modern coastal mapping experience through the NOAA Hollings Scholars program in Hawaii - the beach stole my heart.
Now, as a geographer, my job enables me support coastal data collection, management, and scientific dissemination surrounding coastal responses to storms and hurricanes. This centers around GIS data, aerial imagery and stationary imagery, and processing imagery using structure-from-motion. I focus on datasets on Cape Cod National Seashore and on the Outer Banks. I am also a DOI and FAA licensed drone-pilot and assist in operations at beaches and marshes.
Additionally, I am active in science communication and mentoring efforts on the local scale and am passionate about fostering an inclusive and diverse scientific community.
Professional Experience
Geographer, U.S. Geological Survey, Woods Hole Coastal and Marine Science Center, 2020-Present
Geomorphologist and GIS specialist, Geoscientists in the Parks Program/Rutgers University, Gateway National Recreation Area, 2019-2020
Education and Certifications
M.Sc. Earth and Ocean Sciences, University of Victoria, B.C., 2019
B.S. Geology with minor in Oceanography, University of North Carolina at Wilmington, 2016
Science and Products
Remote Sensing Coastal Change
DUNEX Aerial Imagery of the Outer Banks
DUNEX Pea Island Experiment
Aerial Imaging and Mapping
Grain-size analysis data of sediment samples from the beach and nearshore environments at the Pea Island National Wildlife Refuge DUNEX site, North Carolina in 2021
Topographic data, imagery, and ground control data collected in September 2023, pre and post Hurricane Lee at Head of the Meadow, Marconi, and Nauset Light beaches, Cape Cod National Seashore, Massachusetts
Topographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations: Assateague Island National Seashore, Maryland, Octob
Topographic and bathymetric data, structure from motion imagery, and ground control data collected at Marconi Beach, Wellfleet, Massachusetts in March 2023, U.S. Geological Survey Field Activity 2023-012-FA
Topographic and bathymetric data, structure from motion imagery, and ground control data collected at Head of the Meadow Beach, Truro, Massachusetts in March and April 2023, U.S. Geological Survey Field Activity 2023-011-FA
Topographic, bathymetric, multispectral, vegetation, sediment, and supporting GPS data collected on North Core Banks, Cape Lookout National Seashore, North Carolina in October 2022, U.S. Geological Survey Field Activity 2022-034-FA (ver. 2.0, December 202
Aerial photogrammetry data and products of the North Carolina coast
Topographic and bathymetric data, structure from motion imagery, and ground control data collected at Marconi Beach, Wellfleet, MA in March 2022, U.S Geological Survey Field Activity 2022-014-FA
Topographic and bathymetric data, structure from motion imagery, and ground control data collected at Head of the Meadow Beach, Truro, MA in March 2022, U.S. Geological Survey Field Activity 2022-015-FA
Grain-size analysis data of sediment samples from the beach and nearshore environments at the Pea Island National Wildlife Refuge DUNEX site, North Carolina in 2021
DUNEX topographic, bathymetric, and supporting GPS data collected in Pea Island National Wildlife Refuge, North Carolina 2020-2021
Aerial Imagery of the North Carolina Coast: 2020-05-08 to 2020-05-09
This video is an introduction of the USGS Northeast Region's science efforts to support society's evolving needs through its engaged and diverse workforce.
This video is an introduction of the USGS Northeast Region's science efforts to support society's evolving needs through its engaged and diverse workforce.
This video is an introduction of the USGS Northeast Region's science efforts to support society's evolving needs through its engaged and diverse workforce.
Marie Bartlett (USGS) removes fence post at Marconi Beach in Wellfleet, MA while recovering pressure sensor. Pressure sensors were attached to fence posts and hammered into the sand to measure total water levels of Hurricane Lee. Photo by Jin-Si Over, USGS.
Marie Bartlett (USGS) removes fence post at Marconi Beach in Wellfleet, MA while recovering pressure sensor. Pressure sensors were attached to fence posts and hammered into the sand to measure total water levels of Hurricane Lee. Photo by Jin-Si Over, USGS.
USGS scientists Jen Cramer and Jin-Si Over pilot a drone at Nauset Light Beach in Nauset, MA. Drone imagery will be used to monitor coastal change before and after Hurricane Lee. Photo by Mira Anderberg, USGS.
USGS scientists Jen Cramer and Jin-Si Over pilot a drone at Nauset Light Beach in Nauset, MA. Drone imagery will be used to monitor coastal change before and after Hurricane Lee. Photo by Mira Anderberg, USGS.
A UAS demonstration in Woods Hole, Massachusetts with WH-Coastal and Marine Science Center personnel and NE Region administration.
Summer 2023 NER Photo Contest Winner: Jin-Si Over, People category
A UAS demonstration in Woods Hole, Massachusetts with WH-Coastal and Marine Science Center personnel and NE Region administration.
Summer 2023 NER Photo Contest Winner: Jin-Si Over, People category
Chris Sherwood (USGS) drives a remote controlled surface vehicle named the Yellow Cat - built by Peter Traykovski (WHOI) - that is mapping the bathymetry of a pond on North Core Banks with a small echo-sounder in Cape Lookout National Seashore, North Carolina.
Fall 2022 Photo Contest Winner: Jin-Si Over, Honorable Mention category
Chris Sherwood (USGS) drives a remote controlled surface vehicle named the Yellow Cat - built by Peter Traykovski (WHOI) - that is mapping the bathymetry of a pond on North Core Banks with a small echo-sounder in Cape Lookout National Seashore, North Carolina.
Fall 2022 Photo Contest Winner: Jin-Si Over, Honorable Mention category
USGS field crew (left to right) Sara Zeigler, Alexandra Evans, and Jennifer Cramer walk through spike rush as they complete vegetation surveys with GPS equipment and a quadrat in North Core Banks, Cape Lookout National Seashore, NC.
Fall 2022 Photo Contest Winner: Jin-Si Over, Where We Work category
USGS field crew (left to right) Sara Zeigler, Alexandra Evans, and Jennifer Cramer walk through spike rush as they complete vegetation surveys with GPS equipment and a quadrat in North Core Banks, Cape Lookout National Seashore, NC.
Fall 2022 Photo Contest Winner: Jin-Si Over, Where We Work category
The Aerial Imaging and Mapping Group (AIMG) preparing for a day of field work at Assateague Island National Seashore.
(Left to right then front: Sandra Brosnahan, Alexandra Evans, Jennifer Cramer, Seth Ackerman, Erika Lentz, Jin-Si Over)
Fall 2022 Photo Contest Winner: Jin-Si Over, People category
The Aerial Imaging and Mapping Group (AIMG) preparing for a day of field work at Assateague Island National Seashore.
(Left to right then front: Sandra Brosnahan, Alexandra Evans, Jennifer Cramer, Seth Ackerman, Erika Lentz, Jin-Si Over)
Fall 2022 Photo Contest Winner: Jin-Si Over, People category
Photo Contest Winner | September 2021 | People
Robert (Bo) Bales works on a Aquadopp for deployment
Photo Contest Winner | September 2021 | People
Robert (Bo) Bales works on a Aquadopp for deployment
To install instruments offshore professional divers were hired to work alongside USGS personnel. Here, long segments of pipe are jetted into the seafloor to which instruments will be attached to measure offshore oceanographic conditions.
To install instruments offshore professional divers were hired to work alongside USGS personnel. Here, long segments of pipe are jetted into the seafloor to which instruments will be attached to measure offshore oceanographic conditions.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
The US Army Corps of Engineers Field Research Facility in Duck, NC has set up a variety of sensors and arrays on the beach to measure oceanographic paramters for DUNEX
The US Army Corps of Engineers Field Research Facility in Duck, NC has set up a variety of sensors and arrays on the beach to measure oceanographic paramters for DUNEX
To survey the bathymetry off of the Pea Island DUNEX site WHOI investigator Peter Traykovski prepares to run into the surf with the ASV nicknamed "Robo Turtle" while USGS investigator Chris Sherwood handles the remote controller.
To survey the bathymetry off of the Pea Island DUNEX site WHOI investigator Peter Traykovski prepares to run into the surf with the ASV nicknamed "Robo Turtle" while USGS investigator Chris Sherwood handles the remote controller.
The Helikite in action, being walked by WHOI scientist, Peter Traykovski, at Pea Island DUNEX site, the helium powered balloon kite is used to survey the beach and dune to produce elevation models using Structure from Motion.
The Helikite in action, being walked by WHOI scientist, Peter Traykovski, at Pea Island DUNEX site, the helium powered balloon kite is used to survey the beach and dune to produce elevation models using Structure from Motion.
Assembling the CoastCam station, USGS researchers Jenna Brown and Meg Palmsten stake down support wires as a storm approaches the Pea Island field site.
This field work was conducted as part of the During Nearshore Event Experiment (DUNEX) in 2021.
Assembling the CoastCam station, USGS researchers Jenna Brown and Meg Palmsten stake down support wires as a storm approaches the Pea Island field site.
This field work was conducted as part of the During Nearshore Event Experiment (DUNEX) in 2021.
A calm hazy horizon after the team pushed two boats up and over the dune to be launched from the beach on Pea Island.
This field work was conducted as part of the During Nearshore Event Experiment (DUNEX) in 2021.
A calm hazy horizon after the team pushed two boats up and over the dune to be launched from the beach on Pea Island.
This field work was conducted as part of the During Nearshore Event Experiment (DUNEX) in 2021.
To survey the bathymetry off of the Pea Island DUNEX site WHOI investigator Peter Traykovski, and USGS investigator, Chris Sherwood, prepare to launch the ASV into the water to measure the bathymetry of the Pea Island DUNEX site.
To survey the bathymetry off of the Pea Island DUNEX site WHOI investigator Peter Traykovski, and USGS investigator, Chris Sherwood, prepare to launch the ASV into the water to measure the bathymetry of the Pea Island DUNEX site.
Contributions to uncertainty in runup forecasts
Contributions to uncertainty in runup forecasts
Modeling total water level and coastal change at Pea Island, North Carolina, USA
The DUring Nearshore Event eXperiment (DUNEX) was carried out on Pea Island, North Carolina, USA between September-October 2021. We use a coupled numerical model (Windsurf) to hindcast the evolution of the DUNEX transect and produce a time series of hourly water levels at the shoreline from the model output. In addition to assessing the ability of Windsurf to reproduce TWL, we use model output pai
Temporal variability of runup and total water level on Cape Cod sandy beaches
Sound-side inundation and seaward erosion of a barrier island during hurricane landfall
Human-in-the-Loop segmentation of earth surface imagery
Labeling poststorm coastal imagery for machine learning: Measurement of interrater agreement
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
Science and Products
- Science
Remote Sensing Coastal Change
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.DUNEX Aerial Imagery of the Outer Banks
The During Nearshore Event Experiment (DUNEX) project is a large collaborative scientific study focusing on understanding the consequences of coastal storms on the morphology of coastal ecosystems. By flying large sections of the coast and collecting still images using structure from motion (SfM) techniques, we hope to contribute high resolution (20cm) elevation maps for time series comparisons...DUNEX Pea Island Experiment
The DUring Nearshore Event eXperiment (DUNEX) is an aggregation of multiple scientific organizations collaborating to increase understanding of nearshore processes. The U.S. Geological Survey (USGS) has chosen Pea Island National Wildlife Refuge as a study location to investigate and characterize the magnitude and timing of changes to coastal morphology (i.e., dunes, shorelines), bathymetry, and...Aerial Imaging and Mapping
The Aerial Imaging and Mapping group (AIM), at the U.S. Geological Survey Woods (USGS) Hole Coastal and Marine Science Center provides UAS services to scientists to advance the science mission of the Coastal and Marine Geology Program. Scientists at the Woods Hole Coastal and Marine Science Center have been using UASs to acquire imagery of coastal and wetland environments, which is then used to... - Data
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Grain-size analysis data of sediment samples from the beach and nearshore environments at the Pea Island National Wildlife Refuge DUNEX site, North Carolina in 2021
This data release supersedes version 1.0, published in September 2022 at https://doi.org/10.5066/P9XEFRYR. Versioning details are documented in the accompanying revision_history.txt file. These data provide grain-size measurements from sediment samples collected as part of the USGS DUring Nearshore Event eXperiment (DUNEX) site on Pea Island National Wildlife Refuge, NC. DUNEX is a multi-agency,Topographic data, imagery, and ground control data collected in September 2023, pre and post Hurricane Lee at Head of the Meadow, Marconi, and Nauset Light beaches, Cape Cod National Seashore, Massachusetts
The data in this release map Marconi Beach, Head of the Meadow Beach, and Nauset Light Beach, in Cape Cod National Seashore (CACO), Massachusetts, before and after Hurricane Lee in September 2023. U.S Geological Survey personnel conducted field surveys to collect topographic data using global navigation satellite systems (GNSS) at all three beaches. In addition, at Nauset Light Beach, an uncrewedTopographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations: Assateague Island National Seashore, Maryland, Octob
Low-altitude (70 m above ground level) aerial images were collected over 5 areas of interest within the northern portion of Assateague Island National Seashore (ASIS) in mid-October, 2022. These images were collected to generate photogrammetric products (e.g. digital surface model (DSM), reflectance orthomosaic) for five areas of interest along the northern portion of the island to support sciencTopographic and bathymetric data, structure from motion imagery, and ground control data collected at Marconi Beach, Wellfleet, Massachusetts in March 2023, U.S. Geological Survey Field Activity 2023-012-FA
The data in this release re-map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-014-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitoTopographic and bathymetric data, structure from motion imagery, and ground control data collected at Head of the Meadow Beach, Truro, Massachusetts in March and April 2023, U.S. Geological Survey Field Activity 2023-011-FA
The data in this release re-map the beach and nearshore environment at Head of the Meadow Beach in Truro, MA and provide updated environmental context for the 2020 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-015-FA and a collaboration with the National Park Service at Cape Cod National Seashore toTopographic, bathymetric, multispectral, vegetation, sediment, and supporting GPS data collected on North Core Banks, Cape Lookout National Seashore, North Carolina in October 2022, U.S. Geological Survey Field Activity 2022-034-FA (ver. 2.0, December 202
These data map in high detail surficial cross-sections of North Core Banks, a barrier island in Cape Lookout National Seashore, NC, in October 2022. U.S. Geological Survey field efforts are part of an interagency agreement with the National Park Service to monitor the recovery of the island from Hurricanes Florence (2018) and Dorian (2019). Three sites of outwash, overwash, and pond formation wereAerial photogrammetry data and products of the North Carolina coast
This data release presents structure-from-motion (SfM) products derived from aerial imagery collected along the North Carolina coast in response to storm events and the recovery process. U.S. Geological Survey (USGS) researchers use the aerial imagery and products to assess future coastal vulnerability, nesting habitats for wildlife, and provide data for hurricane impact models. This research is pTopographic and bathymetric data, structure from motion imagery, and ground control data collected at Marconi Beach, Wellfleet, MA in March 2022, U.S Geological Survey Field Activity 2022-014-FA
The data in this release map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-014-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor tTopographic and bathymetric data, structure from motion imagery, and ground control data collected at Head of the Meadow Beach, Truro, MA in March 2022, U.S. Geological Survey Field Activity 2022-015-FA
These data map the beach and nearshore environment at Head of the Meadow Beach in Truro, MA, providing updated regional context for the 2019 CoastCam installation. CoastCam CACO-01 are two video cameras aimed at the beach that view the coast shared by beachgoers, shorebirds, seals, and sharks. These data were collected as part of field activity 2022-015-FA and a collaboration with the National ParGrain-size analysis data of sediment samples from the beach and nearshore environments at the Pea Island National Wildlife Refuge DUNEX site, North Carolina in 2021
These data provide grain-size measurements from sediment samples collected as part of the USGS DUring Nearshore Event eXperiment (DUNEX) site on Pea Island National Wildlife Refuge, NC. DUNEX is a multi-agency, academic, and non-governmental organization collaborative community experiment designed to study nearshore coastal processes during storm events. USGS participation in DUNEX will contributeDUNEX topographic, bathymetric, and supporting GPS data collected in Pea Island National Wildlife Refuge, North Carolina 2020-2021
The data in this release characterize the beach and nearshore environment in Pea Island National Wildlife Refuge, NC at the USGS DUring Nearshore Event eXperiment (DUNEX) site and Basnight Bridge. Data include GPS surveys, reference points, and ground control points; imagery and structure-from-motion products; bathymetry data, and merged topographic and bathymetric grids. To cite a specific dataAerial Imagery of the North Carolina Coast: 2020-05-08 to 2020-05-09
The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths, in response to storm events, with optimized endlap/sidelap and precise position information to create high-resolution orthomosaics, three-dimensional (3D) point clouds, and digital elevation/surface models (DEMs/DSMs) using Structure-from-Motion (SfM) photogrammetry methods. - Multimedia
The USGS Northeast Region: Delivering Science for Better Decisions (AD)The USGS Northeast Region: Delivering Science for Better Decisions (AD)The USGS Northeast Region: Delivering Science for Better Decisions (AD)
This video is an introduction of the USGS Northeast Region's science efforts to support society's evolving needs through its engaged and diverse workforce.
This video is an introduction of the USGS Northeast Region's science efforts to support society's evolving needs through its engaged and diverse workforce.
The USGS Northeast Region: Delivering Science for Better DecisionsThe USGS Northeast Region: Delivering Science for Better DecisionsThe USGS Northeast Region: Delivering Science for Better DecisionsThis video is an introduction of the USGS Northeast Region's science efforts to support society's evolving needs through its engaged and diverse workforce.
This video is an introduction of the USGS Northeast Region's science efforts to support society's evolving needs through its engaged and diverse workforce.
Hurricane Lee sensor retrievalMarie Bartlett (USGS) removes fence post at Marconi Beach in Wellfleet, MA while recovering pressure sensor. Pressure sensors were attached to fence posts and hammered into the sand to measure total water levels of Hurricane Lee. Photo by Jin-Si Over, USGS.
Marie Bartlett (USGS) removes fence post at Marconi Beach in Wellfleet, MA while recovering pressure sensor. Pressure sensors were attached to fence posts and hammered into the sand to measure total water levels of Hurricane Lee. Photo by Jin-Si Over, USGS.
Hurricane Lee drone imageryUSGS scientists Jen Cramer and Jin-Si Over pilot a drone at Nauset Light Beach in Nauset, MA. Drone imagery will be used to monitor coastal change before and after Hurricane Lee. Photo by Mira Anderberg, USGS.
USGS scientists Jen Cramer and Jin-Si Over pilot a drone at Nauset Light Beach in Nauset, MA. Drone imagery will be used to monitor coastal change before and after Hurricane Lee. Photo by Mira Anderberg, USGS.
UAS demonstration in Woods Hole, MassachusettsA UAS demonstration in Woods Hole, Massachusetts with WH-Coastal and Marine Science Center personnel and NE Region administration.
Summer 2023 NER Photo Contest Winner: Jin-Si Over, People category
A UAS demonstration in Woods Hole, Massachusetts with WH-Coastal and Marine Science Center personnel and NE Region administration.
Summer 2023 NER Photo Contest Winner: Jin-Si Over, People category
Chris Sherwood drives a remote controlled surface vehicle named the Yellow CatChris Sherwood drives a remote controlled surface vehicle named the Yellow CatChris Sherwood (USGS) drives a remote controlled surface vehicle named the Yellow Cat - built by Peter Traykovski (WHOI) - that is mapping the bathymetry of a pond on North Core Banks with a small echo-sounder in Cape Lookout National Seashore, North Carolina.
Fall 2022 Photo Contest Winner: Jin-Si Over, Honorable Mention categoryChris Sherwood (USGS) drives a remote controlled surface vehicle named the Yellow Cat - built by Peter Traykovski (WHOI) - that is mapping the bathymetry of a pond on North Core Banks with a small echo-sounder in Cape Lookout National Seashore, North Carolina.
Fall 2022 Photo Contest Winner: Jin-Si Over, Honorable Mention categoryUSGS field crew walk through spike rush as they complete vegetation surveysUSGS field crew walk through spike rush as they complete vegetation surveysUSGS field crew (left to right) Sara Zeigler, Alexandra Evans, and Jennifer Cramer walk through spike rush as they complete vegetation surveys with GPS equipment and a quadrat in North Core Banks, Cape Lookout National Seashore, NC.
Fall 2022 Photo Contest Winner: Jin-Si Over, Where We Work categoryUSGS field crew (left to right) Sara Zeigler, Alexandra Evans, and Jennifer Cramer walk through spike rush as they complete vegetation surveys with GPS equipment and a quadrat in North Core Banks, Cape Lookout National Seashore, NC.
Fall 2022 Photo Contest Winner: Jin-Si Over, Where We Work categoryAerial Imaging and Mapping Group (AIMG) preparing for a day of field workAerial Imaging and Mapping Group (AIMG) preparing for a day of field workThe Aerial Imaging and Mapping Group (AIMG) preparing for a day of field work at Assateague Island National Seashore.
(Left to right then front: Sandra Brosnahan, Alexandra Evans, Jennifer Cramer, Seth Ackerman, Erika Lentz, Jin-Si Over)
Fall 2022 Photo Contest Winner: Jin-Si Over, People categoryThe Aerial Imaging and Mapping Group (AIMG) preparing for a day of field work at Assateague Island National Seashore.
(Left to right then front: Sandra Brosnahan, Alexandra Evans, Jennifer Cramer, Seth Ackerman, Erika Lentz, Jin-Si Over)
Fall 2022 Photo Contest Winner: Jin-Si Over, People categoryRobert (Bo) Bales works on a Aquadopp for deploymentRobert (Bo) Bales works on a Aquadopp for deploymentPhoto Contest Winner | September 2021 | People
Robert (Bo) Bales works on a Aquadopp for deploymentPhoto Contest Winner | September 2021 | People
Robert (Bo) Bales works on a Aquadopp for deploymentUSGS personnel and contracted divers work together to install instrumeUSGS personnel and contracted divers work together to install instrumeTo install instruments offshore professional divers were hired to work alongside USGS personnel. Here, long segments of pipe are jetted into the seafloor to which instruments will be attached to measure offshore oceanographic conditions.
To install instruments offshore professional divers were hired to work alongside USGS personnel. Here, long segments of pipe are jetted into the seafloor to which instruments will be attached to measure offshore oceanographic conditions.
Flying a helikite to survey the beachAn alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
Flying a helikite to survey the beachAn alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
Flying a helikite to survey the beachAn alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
A helikite used to collect imagery of the coastlineA helikite used to collect imagery of the coastlineAn alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
An alternative to uncrewed aerial systems (UAS; commonly known as 'drones'), U.S. Geological Survey (USGS) scientists use helikites equipped with cameras to collect imagery of the coastline. The pictures collected by these helium-powered kite-balloons are used to create a 3D digital elevation map of the beach.
Data collection at Duck USACE Field Research StationData collection at Duck USACE Field Research StationThe US Army Corps of Engineers Field Research Facility in Duck, NC has set up a variety of sensors and arrays on the beach to measure oceanographic paramters for DUNEX
The US Army Corps of Engineers Field Research Facility in Duck, NC has set up a variety of sensors and arrays on the beach to measure oceanographic paramters for DUNEX
Preparing to launch the Automnous Surf VehicleTo survey the bathymetry off of the Pea Island DUNEX site WHOI investigator Peter Traykovski prepares to run into the surf with the ASV nicknamed "Robo Turtle" while USGS investigator Chris Sherwood handles the remote controller.
To survey the bathymetry off of the Pea Island DUNEX site WHOI investigator Peter Traykovski prepares to run into the surf with the ASV nicknamed "Robo Turtle" while USGS investigator Chris Sherwood handles the remote controller.
Surveying with the Helikite at Pea Island, NCThe Helikite in action, being walked by WHOI scientist, Peter Traykovski, at Pea Island DUNEX site, the helium powered balloon kite is used to survey the beach and dune to produce elevation models using Structure from Motion.
The Helikite in action, being walked by WHOI scientist, Peter Traykovski, at Pea Island DUNEX site, the helium powered balloon kite is used to survey the beach and dune to produce elevation models using Structure from Motion.
Installing CoastCam at Pea Island before a stormAssembling the CoastCam station, USGS researchers Jenna Brown and Meg Palmsten stake down support wires as a storm approaches the Pea Island field site.
This field work was conducted as part of the During Nearshore Event Experiment (DUNEX) in 2021.
Assembling the CoastCam station, USGS researchers Jenna Brown and Meg Palmsten stake down support wires as a storm approaches the Pea Island field site.
This field work was conducted as part of the During Nearshore Event Experiment (DUNEX) in 2021.
DUNEX CrewA calm hazy horizon after the team pushed two boats up and over the dune to be launched from the beach on Pea Island.
This field work was conducted as part of the During Nearshore Event Experiment (DUNEX) in 2021.
A calm hazy horizon after the team pushed two boats up and over the dune to be launched from the beach on Pea Island.
This field work was conducted as part of the During Nearshore Event Experiment (DUNEX) in 2021.
Planning the ASV Route bathymetryTo survey the bathymetry off of the Pea Island DUNEX site WHOI investigator Peter Traykovski, and USGS investigator, Chris Sherwood, prepare to launch the ASV into the water to measure the bathymetry of the Pea Island DUNEX site.
To survey the bathymetry off of the Pea Island DUNEX site WHOI investigator Peter Traykovski, and USGS investigator, Chris Sherwood, prepare to launch the ASV into the water to measure the bathymetry of the Pea Island DUNEX site.
- Publications
Contributions to uncertainty in runup forecasts
The U.S. Geological Survey (USGS) provides operational forecasts of total water levels (TWL) and coastal change. Uncertainties around forecast TWL are based on the temporal and spatial range of observed beach slopes near the forecast site. This paper investigates other sources of uncertainty that are not accounted for, focusing on four beaches where the USGS has deployed remote cameras, and on outAuthorsChristopher R. Sherwood, Alfredo Aretxabaleta, Peter A. Traykovski, Jin-Si R. Over, Erin Lyons, David S. Foster, Jennifer L. Miselis, Timothy Nelson, Erdinc SogutContributions to uncertainty in runup forecasts
The U.S. Geological Survey (USGS) provides operational forecasts of total water levels (TWL) and coastal change. Uncertainties around forecast TWL are based on the temporal and spatial range of observed beach slopes near the forecast site. This paper investigates other sources of uncertainty that are not accounted for, focusing on four beaches where the USGS has deployed remote cameras, and on outAuthorsChristopher R. Sherwood, Alfredo Aretxabaleta, Peter A. Traykovski, Jin-Si R. Over, David S. Foster, Jennifer L. Miselis, Tim Nelson, Erdinc SogutModeling total water level and coastal change at Pea Island, North Carolina, USA
The DUring Nearshore Event eXperiment (DUNEX) was carried out on Pea Island, North Carolina, USA between September-October 2021. We use a coupled numerical model (Windsurf) to hindcast the evolution of the DUNEX transect and produce a time series of hourly water levels at the shoreline from the model output. In addition to assessing the ability of Windsurf to reproduce TWL, we use model output pai
AuthorsMichael Christopher Itzkin, Margaret Louise Palmsten, Mark L. Buckley, Christopher R. Sherwood, Jenna A. Brown, Jin-Si R. Over, Peter A. TraykovskiTemporal variability of runup and total water level on Cape Cod sandy beaches
In the present study, we evaluate the temporal variability in runup and total water level for sandy beaches along Cape Cod (Massachusetts, USA), and their impact on dune and beach erosion. We use a 43-year hindcast of waves and water levels and calculate runup and total water level based on the Stockdon formulation using previously extracted beach slopes. The dominant components of the runup are iAuthorsAlfredo Aretxabaleta, Christopher R. Sherwood, B.O. Blanton, Jin-Si R. Over, Peter A. Traykovski, Erdinc SogutSound-side inundation and seaward erosion of a barrier island during hurricane landfall
Barrier islands are especially vulnerable to hurricanes and other large storms, owing to their mobile composition, low elevations, and detachment from the mainland. Conceptual models of barrier-island evolution emphasize ocean-side processes that drive landward migration through overwash, inlet migration, and aeolian transport. In contrast, we found that the impact of Hurricane Dorian (2019) on NoAuthorsChristopher R. Sherwood, Andrew C. Ritchie, Jin-Si R. Over, Christine J. Kranenburg, Jonathan Warrick, Jenna A. Brown, Wayne Wright, Alfredo Aretxabaleta, Sara Zeigler, Phillipe Alan Wernette, Daniel D. Buscombe, Christie HegermillerHuman-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 miAuthorsDaniel D. Buscombe, Evan B. Goldstein, Christopher R. Sherwood, Cameron S Bodine, Jenna A. Brown, Jaycee Favela, Sharon Fitzpatrick, Christine J. Kranenburg, Jin-Si R. Over, Andrew C. Ritchie, Jonathan Warrick, Phillipe Alan WernetteLabeling 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 procAuthorsEvan B. Goldstein, Daniel D. Buscombe, Eli D. Lazarus, Somya Mohanty, Shah N. Rafique, K A Anarde, Andrew D Ashton, Tomas Beuzen, Katherine A. Castagno, Nicholas Cohn, Matthew P. Conlin, Ashley Ellenson, Megan Gillen, Paige A. Hovenga, Jin-Si R. Over, Rose V. Palermo, Katherine Ratlif, Ian R Reeves, Lily H. Sanborn, Jessamin A. Straub, Luke A. Taylor, Elizabeth J. Wallace, Jonathan Warrick, Phillipe Alan Wernette, Hannah E WilliamsByProcessing 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
AuthorsJin-Si R. Over, Andrew C. Ritchie, Christine J. Kranenburg, Jenna A. Brown, Daniel D. Buscombe, Tom Noble, Christopher R. Sherwood, Jonathan A. Warrick, Phillipe A. WernetteByEcosystems Mission Area, Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Maryland-Delaware-D.C. Water Science Center, Pacific Coastal and Marine Science Center, Southwest Biological Science Center, St. Petersburg Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center, Hurricane Florence, HurricanesA 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 AtmosphericAuthorsJin-Si R. Over, Jenna A. Brown, Christopher R. Sherwood, Christie Hegermiller, Phillipe Alan Wernette, Andrew C. Ritchie, Jonathan Warrick - News