As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
Jenna Brown, PhD
Jenna Brown is a Research Oceanographer working at the MD-DE-DC Water Science Center Subdistrict in Dover, DE.
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Science and Products
Using Video Imagery to Study Storm Events at Pea Island National Wildlife Refuge
DUNEX Hazards at Pea Island
DUNEX Aerial Imagery of the Outer Banks
DUNEX Pea Island Experiment
USGS DUNEX Operations on the Outer Banks
Mapping Land-Use, Hazard Vulnerability and Habitat Suitability Using Deep Neural Networks
Video Remote Sensing of Coastal Processes
Nearshore Multibeam and Single-beam Bathymetry Data: Madeira Beach, Florida, February 2017
Beach Profile Data Collected From Sand Key Beach in Clearwater, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a surveying backpack outfitted for surveying location and elevation data (XYZ) along pre-determi
USGS Madeira Beach, Florida CoastCam Imagery and Calibration Data
A digital video camera was installed at Madeira Beach, Florida (FL) and faced west along the beach. Every hour during daylight hours, daily from 2017 to 2022, the camera collected raw video and produced snapshots and time-averaged image products. This data release includes the necessary intrinsic orientation (IO) and extrinsic orientation (EO) calibration data to utilize imagery to make quantitati
Time Series of Aerial Photogrammetry Data and Products of the Delaware Atlantic Coast
Time Series of Aerial Imagery derived Structure from Motion Products for U.S. Fish and Wildlife Service National Wildlife Refuges in Coastal Delaware, New Jersey, Pennsylvania, and Maryland, 2019 - 2022
Aerial photogrammetry data and products of the North Carolina coast
Beach Profile Data Collected from Madeira Beach, Florida
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
Developing bare-earth digital elevation models from structure-from-motion data on barrier islands, Dauphin Island, AL, 2018-2019
Aerial Imagery of the North Carolina Coast: 2019-11-26
Aerial Imagery of the North Carolina Coast: 2019-10-11
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
Time-lapse of USGS researchers raising a mechanical mast with a high-resolution camera mounted on top, which was deployed atop a dune in the U.S.
Time-lapse of USGS researchers raising a mechanical mast with a high-resolution camera mounted on top, which was deployed atop a dune in the U.S.
Time-lapse of USGS researchers raising a mechanical mast with a high-resolution camera mounted on top, which was deployed atop a dune in the U.S.
Time-lapse of USGS researchers raising a mechanical mast with a high-resolution camera mounted on top, which was deployed atop a dune in the U.S.
Two high-resolution, digital cameras were mounted on towers overlooking the beach, dunes, and instrument arrays in the Outer Banks of North Carolina on September 18, 2021, as part of the DUring Nea
Two high-resolution, digital cameras were mounted on towers overlooking the beach, dunes, and instrument arrays in the Outer Banks of North Carolina on September 18, 2021, as part of the DUring Nea
Photograph taken June 7, 2016, one day after Tropical Storm Colin, on Sunset Beach in the town of St. Pete Beach, Florida. Storm waves eroded the beach and dune, producing a cliff-like feature called a beach scarp.
Photograph taken June 7, 2016, one day after Tropical Storm Colin, on Sunset Beach in the town of St. Pete Beach, Florida. Storm waves eroded the beach and dune, producing a cliff-like feature called a beach scarp.
Photograph taken during Tropical Storm Colin, June 6, 2016, on Sunset Beach in the town of St. Pete Beach, Florida.
Photograph taken during Tropical Storm Colin, June 6, 2016, on Sunset Beach in the town of St. Pete Beach, Florida.
The During Nearshore Event Experiment (DUNEX): A collaborative coastal community experiment to address coastal resilience
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
Sound-side inundation and seaward erosion of a barrier island during hurricane landfall
Human-in-the-Loop segmentation of earth surface imagery
Developing bare-earth digital elevation models from structure-from-motion data on barrier islands
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
SurfRCaT: A tool for remote calibration of pre-existing coastal cameras to enable their use as quantitative coastal monitoring tools
Observations of mixing and transport on a steep beach
Field observations of alongshore runup variability under dissipative conditions in presence of a shoreline sandwave
Efficient estimators for adaptive stratified sequential sampling
Science and Products
- Science
Using Video Imagery to Study Storm Events at Pea Island National Wildlife Refuge
Two video cameras were 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 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...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, anVideo 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. - Data
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Nearshore Multibeam and Single-beam Bathymetry Data: Madeira Beach, Florida, February 2017
In February 2017, the United States Geological Survey Saint Petersburg Coastal and Marine Science Center (USGS SPCMSC) conducted multibeam and single-beam bathymetric surveys of the nearshore waters off the coast of Madeira Beach, Florida. These data were collected as part of a regional study designed to better understand coastal processes on barrier islands and sandy beaches. Results from this stBeach Profile Data Collected From Sand Key Beach in Clearwater, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a surveying backpack outfitted for surveying location and elevation data (XYZ) along pre-determi
USGS Madeira Beach, Florida CoastCam Imagery and Calibration Data
A digital video camera was installed at Madeira Beach, Florida (FL) and faced west along the beach. Every hour during daylight hours, daily from 2017 to 2022, the camera collected raw video and produced snapshots and time-averaged image products. This data release includes the necessary intrinsic orientation (IO) and extrinsic orientation (EO) calibration data to utilize imagery to make quantitati
Time Series of Aerial Photogrammetry Data and Products of the Delaware Atlantic Coast
This data release presents a time series of aerial imagery and derived structure-from-motion (SfM) products collected along the Delaware Atlantic coast with a piloted fixed-wing aircraft. U.S. Geological Survey (USGS) researchers use the aerial imagery and products to assess topographic and landscape change, evaluate nesting habitats for wildlife, and for understanding coastal vulnerability and reTime Series of Aerial Imagery derived Structure from Motion Products for U.S. Fish and Wildlife Service National Wildlife Refuges in Coastal Delaware, New Jersey, Pennsylvania, and Maryland, 2019 - 2022
Aerial imagery acquired using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution three-dimensional (3D) point clouds, orthomosaic images, and digital elevation models (DEMs). This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists ofAerial 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 pBeach Profile Data Collected from Madeira Beach, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides beach profile data collected at Madeira Beach, Florida. Data were collected by a walking person equipped with a Global Positioning System receiver and a GPS antenna affixed to a surveying backpack. The horizontal position data are given in the Universal Transverse Mercator (UTM) projecteAerial 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.Aerial Imagery of the North Carolina Coast: 2020-02-08 to 2020-02-09
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.Developing bare-earth digital elevation models from structure-from-motion data on barrier islands, Dauphin Island, AL, 2018-2019
This U.S. Geological Survey data release includes bare-earth digital elevation models (DEMs) that were produced by removing elevation bias in vegetated areas from structure-from-motion (SfM) data products for two sites on Dauphin Island, Alabama. These data were collected in the late fall of 2018 and spring of 2019. In addition to the bare-earth DEMs, this data release also includes vegetation masAerial Imagery of the North Carolina Coast: 2019-11-26
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.Aerial Imagery of the North Carolina Coast: 2019-10-11
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
Deploying sensors before Hurricane Ian
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
Sensor deployed before Hurricane IanAs part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
Sensor deployed before Hurricane IanAs part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
Sensor deployed before Hurricane IanAs part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
Sensor deployed before Hurricane IanAs part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
Sensor deployed before Hurricane IanAs part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
Deploying a weather station for Hurricane IanAs part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
As part of the National Oceanographic Partnership Program (NOPP), USGS works with several partner agencies to increase our knowledge of how storms impact and shape our coasts.
Installing Coastal Camera TowerTime-lapse of USGS researchers raising a mechanical mast with a high-resolution camera mounted on top, which was deployed atop a dune in the U.S.
Time-lapse of USGS researchers raising a mechanical mast with a high-resolution camera mounted on top, which was deployed atop a dune in the U.S.
Installing Coastal Camera TowerTime-lapse of USGS researchers raising a mechanical mast with a high-resolution camera mounted on top, which was deployed atop a dune in the U.S.
Time-lapse of USGS researchers raising a mechanical mast with a high-resolution camera mounted on top, which was deployed atop a dune in the U.S.
Two CoastCams installed in the Outer Banks for DUNEX projectTwo CoastCams installed in the Outer Banks for DUNEX projectTwo high-resolution, digital cameras were mounted on towers overlooking the beach, dunes, and instrument arrays in the Outer Banks of North Carolina on September 18, 2021, as part of the DUring Nea
Two high-resolution, digital cameras were mounted on towers overlooking the beach, dunes, and instrument arrays in the Outer Banks of North Carolina on September 18, 2021, as part of the DUring Nea
Sunset Beach in St. Pete Beach, Florida, after Tropical Storm ColinSunset Beach in St. Pete Beach, Florida, after Tropical Storm ColinPhotograph taken June 7, 2016, one day after Tropical Storm Colin, on Sunset Beach in the town of St. Pete Beach, Florida. Storm waves eroded the beach and dune, producing a cliff-like feature called a beach scarp.
Photograph taken June 7, 2016, one day after Tropical Storm Colin, on Sunset Beach in the town of St. Pete Beach, Florida. Storm waves eroded the beach and dune, producing a cliff-like feature called a beach scarp.
Sunset Beach in St. Pete Beach, Florida, during Tropical Storm ColinSunset Beach in St. Pete Beach, Florida, during Tropical Storm ColinPhotograph taken during Tropical Storm Colin, June 6, 2016, on Sunset Beach in the town of St. Pete Beach, Florida.
Photograph taken during Tropical Storm Colin, June 6, 2016, on Sunset Beach in the town of St. Pete Beach, Florida.
- Publications
The During Nearshore Event Experiment (DUNEX): A collaborative coastal community experiment to address coastal resilience
The During Nearshore Event Experiment (DUNEX) was a large-scale coastal field effort focused on improving understanding of during-storm nearshore processes to ultimately develop predictive technologies, engineering solutions, and actions to enhance coastal resilience. The experiments were conducted on the North Carolina coast by a multidisciplinary group of over 30 research scientists from 18 acadAuthorsJessamin A. Straub, Mary A. Cialone, Britt Raubenheimer, Jenna A. Brown, Nicole Elko, Katherine L. BrodieModeling 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. TraykovskiSound-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 WernetteDeveloping bare-earth digital elevation models from structure-from-motion data on barrier islands
Unoccupied aerial systems can collect aerial imagery that can be used to develop structure-from-motion products with a temporal resolution well-suited to monitoring dynamic barrier island environments. However, topographic data created using photogrammetric techniques such as structure-from-motion represent the surface elevation including the vegetation canopy. Additional processing is required foAuthorsNicholas Enwright, Christine J. Kranenburg, Brett Patton, P. Soupy Dalyander, Jenna A. Brown, Sarai Piazza, Wyatt C CheneyProcessing 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 WarrickSurfRCaT: 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 points using airborne lidar observations, and guidAuthorsMatthew P. Conlin, Peter N Adams, Benjamin Wilkinson, Gregory Dusek, Margaret Louise Palmsten, Jenna A. BrownObservations of mixing and transport on a steep beach
Surfzone mixing and transport on a sandy, steep (∼1/8 slope), reflective beach at Carmel River State Beach, California, are described for a range of wave and alongshore flow conditions. Depth-limited wave breaking occurred close to the shore due to the steepness of the beach, creating a narrow surf/swash zone (∼10 m wide). Fluorescent Rhodamine dye was released as a slug in the surfzone, and the tAuthorsJenna A. Brown, Jamie H. MacMahan, Ad J. H. M. Reniers, Ed B. Thornton, Alan L. Shanks, Steven G. Morgan, Edie L. GallagherField 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 peak period of nearly 13 s) but yet dissipative. Runup energy wasAuthorsNadia Senechal, Giovanni Coco, Nathaniel G. Plant, Karin R. Bryan, Jennifer Brown, Jamie MacMahanEfficient 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 remaining units among the strata in the second phaAuthorsM. Salehi, M. Moradi, Jennifer Brown, David R. Smith - News