UAV remote sensing applications in marine monitoring: Knowledge visualization and review

Z Yang, X Yu, S Dedman, M Rosso, J Zhu… - Science of The Total …, 2022 - Elsevier
With the booming development of information technology and the growing demand for
remote sensing data, unmanned aerial vehicle (UAV) remote sensing technology has …

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

I Palomares, E Martínez-Cámara, R Montes… - Applied …, 2021 - Springer
Abstract The17 Sustainable Development Goals (SDGs) established by the United Nations
Agenda 2030 constitute a global blueprint agenda and instrument for peace and prosperity …

[HTML][HTML] The fate of missing ocean plastics: Are they just a marine environmental problem?

A Isobe, S Iwasaki - Science of the Total Environment, 2022 - Elsevier
The fate of mismanaged plastic waste released into oceans (ocean plastics) remains a topic
of debate, where the mass imbalance between the leakage and abundance in the world's …

[HTML][HTML] Deep learning for detecting macroplastic litter in water bodies: A review

T Jia, Z Kapelan, R de Vries, P Vriend, EC Peereboom… - Water Research, 2023 - Elsevier
Plastic pollution in water bodies is an unresolved environmental issue that damages all
aquatic environments, and causes economic and health problems. Accurate detection of …

[HTML][HTML] Beach litter survey by drones: Mini-review and discussion of a potential standardization

G Gonçalves, U Andriolo, LMS Gonçalves… - Environmental …, 2022 - Elsevier
The abundance of beach litter has been increasing globally during the last decades, and it is
an issue of global concern. A new survey strategy, based on uncrewed aerial vehicles (UAV …

[HTML][HTML] Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: a review

N Gnann, B Baschek, TA Ternes - Water Research, 2022 - Elsevier
Detection and identification of macroplastic debris in aquatic environments is crucial to
understand and counter the growing emergence and current developments in distribution …

Applications of unmanned aerial systems (UASs) in hydrology: A review

M Vélez-Nicolás, S García-López, L Barbero… - Remote Sensing, 2021 - mdpi.com
In less than two decades, UASs (unmanned aerial systems) have revolutionized the field of
hydrology, bridging the gap between traditional satellite observations and ground-based …

Coastal and marine plastic litter monitoring using remote sensing: A review

BK Veettil, NH Quan, LT Hauser, DD Van… - Estuarine, Coastal and …, 2022 - Elsevier
Plastic pollution in coastal and marine areas is an ongoing environmental concern in the
world. Despite its growing concern worldwide, there is a knowledge gap in terms of its …

[HTML][HTML] Automatic detection and quantification of floating marine macro-litter in aerial images: Introducing a novel deep learning approach connected to a web …

O Garcia-Garin, T Monleón-Getino, P López-Brosa… - Environmental …, 2021 - Elsevier
The threats posed by floating marine macro-litter (FMML) of anthropogenic origin to the
marine fauna, and marine ecosystems in general, are universally recognized. Dedicated …

Spatial and size distribution of macro-litter on coastal dunes from drone images: A case study on the Atlantic coast

U Andriolo, G Gonçalves, P Sobral, F Bessa - Marine Pollution Bulletin, 2021 - Elsevier
This work analyses the cross-shore (80 m) and long-shore (200 m) spatial and size
distribution of macro-litter on coastal dunes, employing a mapping framework based on an …