Results 81 to 90 of about 56,657 (315)
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 +6 more
wiley +1 more source
The Port Norfolk Project: Improved Raster Navigation Products From High Resolution Source Data [PDF]
With increasing capabilities in technology, modern hydrographic surveys are comprised of similarly increasing amounts of data, only a minute fraction of which is currently available in the nautical charts produced by the NOAA Office of Coast Survey (OCS).
Miller, James J. +4 more
core +1 more source
Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine
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 +2 more
wiley +1 more source
Observations of River Topography and Flow Around Bridges [PDF]
This investigation was motivated by the amount of river, estuarine, and coastal infrastructure that is susceptible to extreme wave and flooding events. The high velocities and resulting shear stresses associated with high flow velocities are capable of ...
Lippmann, Thomas C.
core +1 more source
Hypsometry and Volume of the Arctic Ocean and Its Constituent Seas [PDF]
This paper presents an analysis of the Arctic Ocean and its constituent seas for seafloor area distribution versus depth and ocean volume. The bathymetry from the International Bathymetric Chart of the Arctic Ocean (IBCAO) is used together with limits ...
Aagard +22 more
core +2 more sources
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping
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 +8 more
wiley +1 more source
A bathymetric inversion method based on adaptive weight fusion of multiphase remote sensing images
Remote sensing bathymetric inversion without in-situ data can provide important shallow-sea baseline data for navigation, island development and ecological restoration in the absence of measured data.
Zhixian Li +6 more
doaj +1 more source
The effects of changing climate on faunal depth distributions determine winners and losers
Changing climate is predicted to impact all depths of the global oceans, yet projections of range shifts in marine faunal distributions in response to changing climate seldom evaluate potential shifts in depth distribution.
Airriess +59 more
core +1 more source
Asymmetric continental deformation during South Atlantic rifting along southern Brazil and Namibia [PDF]
Plate restoration of South America and Africa to their pre-breakup position faces the problem of gaps and overlaps between the continents, an issue commonly solved with implementing intra-plate deformation zones within South America.
Koehn, Daniel +2 more
core +1 more source

