Automatic detection of MLs targets from the bathymetry
The shape files contain the marine litter targets both manually identified and obtained as output of the ArcGis workflow applied to the input bathymetry
Marine litter Sacca Fisola, Venice, 2021
Data collected in October 2021 by CNR- ISMAR VE within the MAELSTROM project with the aim to map marine litter on the seafloor
This Notebook provides a workflow of ArcGis toolboxes to identify ML targets from bathynetry.
This paper presents a semi-automated method to recognize, spatially delineate and characterise morphometrically pockmarks at the seabed
Scientific paper - Semi-automated characterisation of seabed pockmarks in the central North Sea
A dedicated workflow in ArcGIS (shared as Jupyter notebook) was developed to identify targets from the bathymetry within the MAELSTROM Project - Smart technology for MArinE Litter SusTainable RemOval and Management. In that framework, the workflow identified marine litter on the seafloor starting from a bathymetric surface collected in Sacca Fisola (Venice Lagoon) on 2021.
Petrizzo, Antonio, Fantina Madricardo, Vanessa Moschino, and Valentina Grande. "Automatic detection of MLs targets from the bathymetry." ROHub. Sep 19 ,2023. https://w3id.org/ro-id/058215c9-d7d3-4e78-8f49-5655f899d5e3.
Marine Litter Identification from Bathymetry
Smart technology for MArinE Litter SusTainable RemOval and Management
A dedicated workflow in ArcGIS (shared as Jupyter notebook) was developed to identify targets from the bathymetry within the MAELSTROM Project - Smart technology for MArinE Litter SusTainable RemOval and Management.
Science and technology/Social sciences/Geography
Economy, business and finance/Economic sector/Computing and information technology/Hardware
Automatic detection of MLs targets from the bathymetry.
Environment/Natural resources/Water/Oceans
In that framework, the workflow identified marine litter on the seafloor starting from a bathymetric surface collected in Sacca Fisola (Venice Lagoon) on 2021.
EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 MarGnet official document with description of ROs developed within MarGnet Project
DELIVERABLE 3.2.2 Research Object with the experiment data and the algorithm
EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 MarGnet official document with description of the tool
DELIVERABLE 3.2.1 Report on the experimental results
EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 MarGnet official document with description of the application of the tool
DELIVERABLE 3.3.1 Report on the survey and elaborated data in the Italian survey area (final version)
It reads and elaborates ASCII file produced with FM Midwater in order to calculate some statistics, mean, standard deviation of backscatter, depth, angle of net for each ping, and to produce a graph with the track of the net
It calculates the sink velocity of a net floating in water starting from water column data.
Schema of the ArcGIS toolnested in the Jupyter Notebook