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Classification of Benthic Substrates by Artificial Intelligence on the St. Lawrence Shoreline - Grosse Pointe | Classification des substrats benthiques par intelligence artificielle sur le littoral du Saint-Laurent - Grosse Pointe

Listed in St. Lawrence Global Observatory - CIOOS | Observatoire global du Saint-Laurent - SIOOC

The substrate classification data were generated with two machine learning models: (1) A first model trained with field truth data from Fisheries and Oceans Canada and using a gradient reinforcement method.

Description

(2) A second model trained without field truth data and based on a Gaussian mixture method. The aim of generating this data is to facilitate the classification of substrates for various fields (fishing, dredging, gas and oil) via artificial intelligence, and to make it more accessible because it is less expensive from an operational point of view.

Links

Documentation and papers

Catalogue records · 1

Topics

Inferred from text
Oceanography 74%
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
St. Lawrence Global Observatory - CIOOS | Observatoire global du Saint-Laurent - SIOOCcidcoBenthicSubstrateAiGrossePointe5 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · erddap ogsl caconnector:erddap_ogsl_ca@1.0.0
concepts[field].anzsrc:group:3708enrichment · erddap ogsl cataxonomy-embedding@1.1.0title+keywords+description (74%)
concepts[field].local:field:ocean-atmosphericmapping · erddap ogsl caconnector:erddap_ogsl_ca@1.0.0
descriptionsource · erddap ogsl caconnector:erddap_ogsl_ca@1.0.0/summary
spatialsource · erddap ogsl caconnector:erddap_ogsl_ca@1.0.0
temporalsource · erddap ogsl caconnector:erddap_ogsl_ca@1.0.0
titlesource · erddap ogsl caconnector:erddap_ogsl_ca@1.0.0/title