Seagrass habitat suitability models using multibeam echosounder data and multiple machine learning techniques

• Main Authors: Muhamad, M. A. H., Che Hasan, R.
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/103688/1/RozaimiCheHasan2022_SeagrassHabitatSuitabilityModels.pdf; http://eprints.utm.my/103688/; http://dx.doi.org/10.1088/1755-1315/1064/1/012049

Seagrass beds are important habitats in the marine environment by providing food and shelter to dugongs and sea turtles. Protection and conservation plans require detail spatial distribution of these habitats such as habitat suitability maps. In this study, machine learning techniques were tested by...