[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 …

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] Drones for litter monitoring on coasts and rivers: suitable flight altitude and image resolution

U Andriolo, K Topouzelis, THM van Emmerik… - Marine pollution …, 2023 - Elsevier
Multirotor drones can be efficiently used to monitor macro-litter in coastal and riverine
environments. Litter on beaches, dunes and riverbanks, along with floating litter on coastal …

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 …

Detection and classification of floating plastic litter using a vessel-mounted video camera and deep learning

S Armitage, K Awty-Carroll, D Clewley… - Remote Sensing, 2022 - mdpi.com
Marine plastic pollution is a major environmental concern, with significant ecological,
economic, public health and aesthetic consequences. Despite this, the quantity and …

Detection of river plastic using UAV sensor data and deep learning

N Maharjan, H Miyazaki, BM Pati, MN Dailey… - Remote Sensing, 2022 - mdpi.com
Plastic pollution is a critical global issue. Increases in plastic consumption have triggered
increased production, which in turn has led to increased plastic disposal. In situ observation …

Understanding through drone image analysis the interactions between geomorphology, vegetation and marine debris along a sandy spit

C Corbau, J Buoninsegni, E Olivo, C Vaccaro… - Marine Pollution …, 2023 - Elsevier
Marine litter (ML) is recognized as one of the main socio-economic and environmental
concerns and monitoring operations have been realized worldwide in order to collect …

[HTML][HTML] Deep learning techniques for hyperspectral image analysis in agriculture: A review

MF Guerri, C Distante, P Spagnolo, F Bougourzi… - ISPRS Open Journal of …, 2024 - Elsevier
In recent years, there has been a growing emphasis on assessing and ensuring the quality
of horticultural and agricultural produce. Traditional methods involving field measurements …

Targeting plastics: Machine learning applied to litter detection in aerial multispectral images

MD Iordache, L De Keukelaere, R Moelans, L Landuyt… - Remote Sensing, 2022 - mdpi.com
The occurrence of litter in natural areas is nowadays one of the major environmental
challenges. The uncontrolled dumping of solid waste in nature not only threatens wildlife on …