Subtidal Natural Hard Substrate Quantitative Habitat Mapping: Interlinking Underwater Acoustics and Optical Imagery with Machine Learning

Subtidal Natural Hard Substrate Quantitative Habitat Mapping: Interlinking Underwater Acoustics and Optical Imagery with Machine Learning

Subtidal natural hard substrates (SNHS) promote occupancy by rich benthic communities that provide irreplaceable and fundamental ecosystem functions, representing a global priority target for nature conservation and recognised in most European environmental legislation. However, scientifically valid...

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Bibliographic Details
Main Authors: Giacomo Montereale Gavazzi, Danae Athena Kapasakali, Francis Kerchof, Samuel Deleu, Steven Degraer, Vera Van Lancker
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
underwater imagery
multibeam echosounder
random forest
subtidal natural hard substrate
stone colonisation
epilithic fauna
Online Access:https://www.mdpi.com/2072-4292/13/22/4608

Internet

https://www.mdpi.com/2072-4292/13/22/4608

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