Results 11 to 20 of about 1,824,604 (219)

ASSESSMENT OF MULTIBEAM BACKSCATTER TEXTURE ANALYSIS FOR SEAFLOOR SEDIMENT CLASSIFICATION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Recently, there have been many debates to analyse backscatter data from multibeam echosounder system (MBES) for seafloor classifications. Among them, two common methods have been used lately for seafloor classification; (1) signal-based classification ...
S. A. Samsudin, R. C. Hasan
doaj   +5 more sources

MBES Seabed Sediment Classification Based on a Decision Fusion Method Using Deep Learning Model

open access: yesRemote Sensing, 2022
High-precision habitat mapping can contribute to the identification and quantification of the human footprint on the seafloor. As a representative of seafloor habitats, seabed sediment classification is crucial for marine geological research, marine ...
Jiaxin Wan   +6 more
doaj   +1 more source

A Characterisation of Benthic Currents from Seabed Bathymetry: An Object-Based Image Analysis of Cold-Water Coral Mounds

open access: yesRemote Sensing, 2022
Seabed sedimentary bedforms (SSBs) are strong indicators of current flow (direction and velocity) and can be mapped in high resolution using multibeam echosounders.
Gerard Summers   +2 more
doaj   +1 more source

Development of a Seafloor Community Classification for the New Zealand Region Using a Gradient Forest Approach

open access: yesFrontiers in Marine Science, 2022
To support ongoing marine spatial planning in New Zealand, a numerical environmental classification using Gradient Forest models was developed using a broad suite of biotic and high-resolution environmental predictor variables.
Fabrice Stephenson   +32 more
doaj   +1 more source

A Scalable, Supervised Classification of Seabed Sediment Waves Using an Object-Based Image Analysis Approach

open access: yesRemote Sensing, 2021
National mapping programs (e.g., INFOMAR and MAREANO) and global efforts (Seabed 2030) acquire large volumes of multibeam echosounder data to map large areas of the seafloor.
Gerard Summers   +2 more
doaj   +1 more source

Indications of marine benthos occurrence from multi-spectral multi-beam backscatter data: a case study in the North Sea

open access: yesFrontiers in Earth Science, 2023
To facilitate the conservation of seafloor habitats and planning of offshore activities, there is a growing need for mapping marine benthos in an effective and efficient way.
Qian Bai   +3 more
doaj   +1 more source

An Object-Based Image Analysis Approach Using Bathymetry and Bathymetric Derivatives to Classify the Seafloor

open access: yesGeosciences, 2021
In this paper, object-based image analysis classification methods are developed that do not rely on backscatter in order to classify the seafloor. Instead, these methods make use of bathymetry, bathymetric derivatives, and grab samples for classification.
Leo Koop, Mirjam Snellen, Dick G. Simons
doaj   +1 more source

Marine Anoxia and Ocean Acidification During the End‐Permian Extinction

open access: yesGeophysical Monograph Series, Page 325-340., 2021

Exploring the links between Large Igneous Provinces and dramatic environmental impact

An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Ying Cui   +4 more
wiley  

+2 more sources

Using Habitat Classification to Assess Representativity of a Protected Area Network in a Large, Data-Poor Area Targeted for Deep-Sea Mining

open access: yesFrontiers in Marine Science, 2020
Extractive activities in the ocean are expanding into the vast, poorly studied deep sea, with the consequence that environmental management decisions must be made for data-poor seafloor regions.
Kirsty A. McQuaid   +7 more
doaj   +1 more source

A Bathymetry- and Reflectivity-Based Approach for Seafloor Segmentation

open access: yesGeosciences, 2018
A robust and flexible technique to segment seafloor acoustic mapping data by analyzing co-located bathymetric digital elevation models and acoustic backscatter mosaics is presented.
Giuseppe Masetti   +2 more
doaj   +1 more source

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