Automatic detection of MLs targets from the bathymetry
Bathymetric data from Sacca Fisola 2021 survey
Sacca Fisola, Venice, 2021 metadata description
This Notebook provides a workflow of ArcGis toolboxes to identify ML targets from bathynetry.
ArcGis PRO with Spatial Analysis is required
A dedicated workflow in ArcGIS was developed to identify targets from the bathymetry
Petrizzo, Antonio, Valentina Grande, Fantina Madricardo, and Vanessa Moschino. "Automatic detection of MLs targets from the bathymetry." ROHub. May 09 ,2022. https://w3id.org/ro-id/9e5d1919-6462-41e1-a4ad-b9e1140925ca.
This paper presents a semi-automated method to recognize, spatially delineate and characterise morphometrically pockmarks at the seabed
Semi-automated characterisation of seabed pockmarks in the central North Sea
RO created wihin EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 MarGnet
calculates the sink velocity of a net floating in water starting from water column data
Marine Litter Identification from Bathymetry
Science and technology/Social sciences/Geography
Economy, business and finance/Economic sector/Computing and information technology/Software
Economy, business and finance/Economic sector/Agriculture/Aquaculture
Economy, business and finance/Economic sector/Computing and information technology/Hardware
During the experiment, it was possible to recognise a unique track for as many categories as possible of benthic Marine Litter (ML) and outline their sinking velocity.
Report on the survey and elaborted data in the Italian survey area
Science and technology/Technology and engineering/IT-computer sciences
The so created Research Object is composed by two inputs (Workflow input ports in Fig. ), two operation blocks (in light blue in Fig. ) and one output (Workflow output ports in Fig. )
Disaster, accident and emergency incident/Accident and emergency incident/Transport accident and incident/Maritime accident and incident
The first operation block ( Execute code ) creates the work directory, downloads and extracts the input file, downloads and executes the Matlab code ( vel ) and finally compresses the output file in only one .zip file.
Economy, business and finance/Economic sector/Chemicals/Synthetic and plastic chemicals
Mapping and recycling of marine litter and Ghost nets on the sea floor marGnet
The experiment data metadata are saved on an open repository (the data are available on request) and the workflow is executable so that the analysis is completely reproducible.
Moreover, the deliverable provides a comparison with the data and efficiency of other seafloor survey methods.
The methodology proposed by the marGnet project is to use acoustic and video remote sensing on a large scale to map ML on the seafloor and to model the ML hotspot through modelling.
Environment/Natural resources/Land resources/Mountains
cybernetics, artificial intelligence and robotics
Automatic detection of MLs targets from the bathymetry.
Lifestyle and leisure/Leisure/Recreational activities/Fishing
OBIA template matching was applied to the seafloor backscatter mosaic in this area.
Arts, culture and entertainment/Culture/Library and museum
Environment/Natural resources/Water/Oceans
Example of targets detection from bathymetry
Example of targets detection from bathymetry (zoom)
Shape file with targets detected from bathymetry
EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 MarGnet official document with description of the application of the tool.
EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 MarGnet official document with description of ROs developed within MarGnet Project.
EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 MarGnet official document with description of the tool.