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Marine Geomorphometry

Authors: Dolan, Margaret; Lucieer, Vanessa; Lecours, Vincent;

Marine Geomorphometry

Abstract

Geomorphometry is the science of quantitative terrain characterization and analysis, and has traditionally focused on the investigation of terrestrial and planetary landscapes. However, applications of marine geomorphometry have now moved beyond the simple adoption of techniques developed for terrestrial studies, driven by the rise in the acquisition of high-resolution seafloor data and by the availability of user-friendly spatial analytical tools. Considering that the seafloor represents 71% of the surface of our planet, this is an important step towards understanding the Earth in its entirety.This volume is the first one dedicated to marine applications of geomorphometry. It showcases studies addressing the five steps of geomorphometry: sampling a surface (e.g., the seafloor), generating a Digital Terrain Model (DTM) from samples, preprocessing the DTM for subsequent analyses (e.g., correcting for errors and artifacts), deriving terrain attributes and/or extracting terrain features from the DTM, and using and explaining those terrain attributes and features in a given context. Throughout these studies, authors address a range of challenges and issues associated with applying geomorphometric techniques to the complex marine environment, including issues related to spatial scale, data quality, and linking seafloor topography with physical, geological, biological, and ecological processes. As marine geomorphometry becomes increasingly recognized as a sub-discipline of geomorphometry, this volume brings together a collection of research articles that reflect the types of studies that are helping to chart the course for the future of marine geomorphometry.

Keywords

submerged glacial bedforms, Random Forests, seafloor mapping technologies, Canary Basin, marine geomorphology, pockmarks, shelf morphology, Glaciated Margin, object segmentation, Malin Basin, Cretaceous, Acoustic applications, Nippon Foundation/GEBCO, spatial prediction, benthic habitats, Atlantic Ocean, paleobathymetry, image segmentation, forage fish, currents, filter, accuracy, domes, seafloor, seafloor mapping standards and protocols, simulation, GIS, Pacific sand lance, Bonaparte Basin, integration artefacts, Northwestern Australia, marine remote sensing, Multibeam bathymetry, North Sea, TA1-2040, sedimentation, coral reefs, confidence, marine geology, ArcGIS, global bathymetry, reconstruction, spatial analysis, multibeam sonar, carbonate mound, habitat mapping, semi-automated mapping, bathymetry, submarine topography, Timor Sea, volcanoes, satellite imagery, deglaciation, benthic habitat mapping, seabed mapping, Cenomanian–Turonian, acoustic-seismic profiling, thalwegs, Barents Sea, digital elevation models (DEMs), paleoclimate, T1-995, TC1501-1800, multi beam echosounder, spatial scale, multibeam spatial resolution, geographic object-based image analysis, Bering Sea, digital terrain analysis, canyons, DEM, cold-water coral, geomorphometry, geomorphology, Seabed 2030, carbonate banks, sediment habitats, python, underwater acoustics, seafloor geomorphometry, swath geometry, multiscale, shelf-slope-rise, automated-mapping, terrain analysis, surface roughness, multibeam, multibeam echosounder, paleoceanography, Oceanic Shoals Australian Marine Park, bedforms, eastern Brazilian shelf, polychaete, random forest, Alaska

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green