Results 61 to 70 of about 2,067 (261)

Ensemble Machine Learning Approaches for Bathymetry Estimation in Multi-Spectral Images

Geomatics
Traditional bathymetry measures require a large number of human hours, and many bathymetry records are obsolete or missing. Automated measures of bathymetry would reduce costs and increase accessibility for research and applications.
Kazi Aminul Islam, Omar Abul-Hassan, Hongfang Zhang, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li   +6 more
doaj   +1 more source

Blending bathymetry: Combination of image-derived parametric approximations and celerity data sets for nearshore bathymetry estimation

Coastal Engineering
Estimation of nearshore bathymetry is important for accurate prediction of nearshore wave conditions. However, direct data collection is expensive and time-consuming while accurate airborne lidar-based survey is limited by breaking waves and decreased light penetration affected by water turbidity.
Jonghyun Lee, Katherine DeVore, Tyler Hesser, A. Spicer Bak, Katherine Brodie, Brittany Bruder, Matthew Farthing   +6 more
openaire   +2 more sources

Estimating Changes in Near-Shore Bathymetry with Subaerial Surveys [PDF]

Journal of Atmospheric and Oceanic Technology, 2013
Abstract Surveys of the subaerial beach (e.g., landward of approximately the MSL depth contour) are widely used to evaluate temporal changes in sand levels over large alongshore reaches. Here, seasonal beach face volume changes based on full bathymetry beach profiles (to ~8 m in depth) are compared with estimates based on the subaerial ...
Doria, A, Guza, R. T
openaire   +3 more sources

Breaking down seagrass fragmentation in a marine heatwave impacted World Heritage Area

Remote Sensing in Ecology and Conservation, EarlyView.
Habitat fragmentation can exacerbate the impacts of habitat loss but is rarely quantified in marine environments. Using satellite‐derived habitat maps, we identify widespread seagrass fragmentation following a marine heatwave that contributed to a dramatic shift in seascape structure in the Shark Bay World Heritage Area.
Michael D. Taylor, Simone Strydom, Matthew W. Fraser, Ana M. M. Sequeira, Gary A. Kendrick   +4 more
wiley   +1 more source

An X-Band Radar System for Bathymetry and Wave Field Analysis in a Harbour Area

Sensors, 2015
Marine X-band radar based systems are well tested to provide information about sea state and bathymetry. It is also well known that complex geometries and non-uniform bathymetries provide a much bigger challenge than offshore scenarios.
Giovanni Ludeno, Ferdinando Reale, Fabio Dentale, Eugenio Pugliese Carratelli, Antonio Natale, Francesco Soldovieri, Francesco Serafino   +6 more
doaj   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source

A Novel Method for Estimating Wave Energy Converter Performance in Variable Bathymetry Regions and Applications

Energies, 2018
A numerical model is presented for the estimation of Wave Energy Converter (WEC) performance in variable bathymetry regions, taking into account the interaction of the floating units with the bottom topography.
Kostas Belibassakis, Markos Bonovas, Eugen Rusu   +2 more
doaj   +1 more source

Data Assimilation for Bathymetry Estimation at a Tidal Inlet

Journal of Atmospheric and Oceanic Technology, 2016
AbstractThis study involved developing and testing a data assimilation framework that accommodates different types of geophysical ocean data (i.e., surface velocity and wave information) and provides an estimation of the bathymetry of a mixed-energy tidal inlet.
S. Moghimi, H. T. Özkan-Haller, G. W. Wilson, A. Kurapov   +3 more
openaire   +1 more source

Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine

Remote Sensing in Ecology and Conservation, EarlyView.
Marine habitat mapping using satellite imagery can provide baseline and monitoring data across large spatial scales and in remote locations globally. This study evaluates how key methodological choices influence the accuracy of open‐source (for non‐commercial use), cloud‐based satellite mapping workflows for seagrass meadows in the Maldives.
Matthew Floyd, Holly K. East, Andrew J. Suggitt   +2 more
wiley   +1 more source

Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping

Remote Sensing in Ecology and Conservation, EarlyView.
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command, Shreya Nemani, Benjamin Misiuk, Mehrdad Hajibabaei, Nicole Fahner, Emily Porter, Greg Singer, Beverly McClenaghan, Katleen Robert   +8 more
wiley   +1 more source