Designing Unmanned Aerial Survey Monitoring Program to Assess Floating Litter Contamination

Monitoring marine contamination by floating litter can be particularly challenging since debris are continuously moving over a large spatial extent pushed by currents, waves, and winds. Floating litter contamination have mostly relied on opportunistic surveys from vessels, modeling and, more recentl...

Whakaahuatanga katoa

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Sílvia Almeida, Marko Radeta, Tomoya Kataoka, João Canning-Clode, Miguel Pessanha Pais, Rúben Freitas, João Gama Monteiro
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2022-12-01
Rangatū:	Remote Sensing
Ngā marau:	unmanned aircraft systems (UASs) drones deep learning (DL) artificial intelligence (AI) machine learning (ML) convolutional neural networks (CNNs)
Urunga tuihono:	https://www.mdpi.com/2072-4292/15/1/84
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Designing Unmanned Aerial Survey Monitoring Program to Assess Floating Litter Contamination

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