Jenna Brown, PhD
Biography
Science and Products
Using Video Imagery to Study Storm Events at Pea Island National Wildlife Refuge
Two video cameras are temporarily mounted on a dune at Pea Island National Wildlife Refuge on the Outer Banks of North Carolina.
DUNEX Hazards at Pea Island
DANGER! INSTRUMENTS IN THE WATER AT PEA ISLAND!
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...
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,...
USGS DUNEX Operations on the Outer Banks
DUring Nearshore Event eXperiment (DUNEX) is a multi-agency, academic, and non-governmental organization (NGO) collaborative community experiment designed to study nearshore coastal processes during storm events. The experiment began in 2019 and is scheduled for completion in the fall of 2021. USGS participation in DUNEX will contribute new measurements and models that will increase our...
Mapping Land-Use, Hazard Vulnerability and Habitat Suitability Using Deep Neural Networks
Deep learning is a computer analysis technique inspired by the human brain’s ability to learn. It involves several layers of artificial neural networks to learn and subsequently recognize patterns in data, forming the basis of many state-of-the-art applications from self-driving cars to drug discovery and cancer detection. Deep neural networks are capable of learning many levels of abstraction...
Video Remote Sensing of Coastal Processes
Video observations of the coast are used to monitor a range of coastal processes, for example changes in the shoreline position, both seasonally and due to long-term effects such as sea-level rise, and instances of beach and dune erosion during extreme storm events.
Aerial Photogrammetry Data and Products of the North Carolina coast: 2018-10-06 to 2018-10-08, post-Hurricane Florence
This data release presents structure-from-motion products derived from imagery taken along the North Carolina coast in response to storm events and the recovery process. USGS researchers use the aerial photogrammetry data and products to assess future coastal vulnerability, nesting habitats for wildlife, and provide data for hurricane impact models.
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...
Over, Jin-Si R.; Ritchie, Andrew C.; Kranenburg, Christine J.; Brown, Jenna A.; Buscombe, Daniel D.; Noble, Tom; Sherwood, Christopher R.; Warrick, Jonathan A.; Wernette, Phillipe A.
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...
Over, Jin-Si R.; Brown, Jenna A.; Sherwood, Christopher R.; Hegermiller, Christie; Wernette, Phillipe Alan; Ritchie, Andrew C.; Warrick, Jonathan SurfRCaT: A tool for remote calibration of pre-existing coastal cameras to enable their use as quantitative coastal monitoring tools
The Surf-camera Remote Calibration Tool (SurfRCaT) is a Python-based software application to calibrate and rectify images from pre-existing video cameras that are operating at coastal sites in the United States. The software enables remote camera calibration and subsequent image rectification by facilitating the remote-extraction of ground control...
Conlin, Matthew P.; Adams, Peter N; Wilkinson, Benjamin; Dusek, Gregory; Palmsten, Margaret Louise; Brown, Jenna A. Field observations of alongshore runup variability under dissipative conditions in presence of a shoreline sandwave
Video measurements of runup were collected at low tide along several profiles covering an alongshore distance of 500 m. The morphology displayed a complex shape with a shoreline sandwave in the lower beach face of about 250 m long mirrored in the inner sandbar. Wave conditions were stationary and moderate (offshore height of 2 m and...
Senechal, Nadia; Coco, Giovanni; Plant, Nathaniel G.; Bryan, Karin R.; Brown, Jennifer; MacMahan, Jamie Efficient estimators for adaptive stratified sequential sampling
In stratified sampling, methods for the allocation of effort among strata usually rely on some measure of within-stratum variance. If we do not have enough information about these variances, adaptive allocation can be used. In adaptive allocation designs, surveys are conducted in two phases. Information from the first phase is used to allocate the...
Salehi, M.; Moradi, M.; Brown, Jennifer; Smith, David R.
Two CoastCams installed in the Outer Banks for DUNEX project
Meg Palmsten and Jenna Brown installed two CoastCams towers at Pea Island, in the Outer Banks of North Carolina, to monitor waves, water levels, and coastal change as part of the DUring Nearshore Event eXperiment (DUNEX) project.
USGS staff participating in DUNEX VIP Day at the U.S. Army Corps of Engineers’ Field Research Facility
Jenna Brown and Chris Sherwood of USGS attend a VIP Event to discuss the USGS component of the DUNEX project, a multi-agency study of storm processes in the Outer Banks of North Carolina.