A systematic review on advancements in remote sensing for assessing and monitoring land use and land cover changes impacts on surface water resources in semi …

MJ Mashala, T Dube, BT Mudereri, KK Ayisi… - Remote Sensing, 2023 - mdpi.com
This study aimed to provide a systematic overview of the progress made in utilizing remote
sensing for assessing the impacts of land use and land cover (LULC) changes on water …

[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 …

Floating debris in the Mediterranean Sea

G Suaria, S Aliani - Marine pollution bulletin, 2014 - Elsevier
Results from the first large-scale survey of floating natural (NMD) and anthropogenic (AMD)
debris (> 2 cm) in the central and western part of the Mediterranean Sea are reported …

[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 …

Anthropogenic Marine Debris assessment with Unmanned Aerial Vehicle imagery and deep learning: A case study along the beaches of the Republic of Maldives

L Fallati, A Polidori, C Salvatore, L Saponari… - Science of The Total …, 2019 - Elsevier
Abstract Anthropogenic Marine Debris (AMD) is one of the major environmental issues of
our planet to date, and plastic accounts for 80% of total AMD. Beaches represent one of the …

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 …

Quantifying marine macro litter abundance on a sandy beach using unmanned aerial systems and object-oriented machine learning methods

G Gonçalves, U Andriolo, L Gonçalves, P Sobral… - Remote Sensing, 2020 - mdpi.com
Unmanned aerial systems (UASs) have recently been proven to be valuable remote sensing
tools for detecting marine macro litter (MML), with the potential of supporting pollution …

Estimation of plastic marine debris volumes on beaches using unmanned aerial vehicles and image processing based on deep learning

S Kako, S Morita, T Taneda - Marine Pollution Bulletin, 2020 - Elsevier
Plastic marine debris (PMD) is of global concern. To help address this problem, a novel
approach for estimating PMD volumes using a combination of unmanned aerial vehicle …

Enabling a large-scale assessment of litter along Saudi Arabian red sea shores by combining drones and machine learning

C Martin, Q Zhang, D Zhai, X Zhang, CM Duarte - Environmental Pollution, 2021 - Elsevier
Beach litter assessments rely on time inefficient and high human cost protocols, mining the
attainment of global beach litter estimates. Here we show the application of an emerging …

Beached and floating litter surveys by unmanned aerial vehicles: operational analogies and differences

U Andriolo, O Garcia-Garin, M Vighi, A Borrell… - Remote sensing, 2022 - mdpi.com
The abundance of litter pollution in the marine environment has been increasing globally.
Remote sensing techniques are valuable tools to advance knowledge on litter abundance …