Project Manager Kasper HanckeThis pilot study demonstrates UAV-based image collection being a promising technology for plastic detection in beach zones and we recommend object-based image analysis and UAV-based data collection being further developed for marine litter detection. Objects of plastic at sizes down to 3.5 x 3.5 cm were segmented and classified successfully corresponding to approximately 4 times the pixel width of the classified images. Overall conclusions should be approached with some caution, due to the relatively few ground truth data points (13-37 geolocated plastic pieces) and their different characteristics regarding color and size.publishedVersio
Marine plastic pollution is a major environmental concern, with significant ecological, economic, pu...
Bottle marine debris (BMD) remains one of the most pressing global issues. This study proposes a det...
International audienceThis paper presents a new Remote Hyperspectral Imaging System (RHIS) embedded ...
This pilot study demonstrates UAV-based image collection being a promising technology for plastic de...
Beached plastic and litter are the most common components of marine waste, with wet wipes comprising...
Marine plastic is a prolific issue concerning the world’s oceans, yet methods of detecting and quant...
Anthropogenic marine debris (AMD) represent a global threat for aquatic environments. It is importan...
The abundance of litter pollution in the marine environment has been increasing globally. Remote se...
Unmanned aerial vehicles (UAV, aka drones) are being used for mapping macro-litter in the environmen...
Anthropogenic litter density and composition data were obtained by conducting aerial surveys on 44 b...
Unmanned aerial systems (UAS, aka drones) are being used to map macro-litter on the environment. Six...
Unmanned aerial systems (UAS, aka drones) are being used to map macro-litter on the environment. Six...
Unmanned aerial systems (UAS, aka drones) are being used to map macro-litter on the environment. Six...
Marine litter is a global problem that requires soon management and design of mitigation strategies....
Marine plastic pollution is a major environmental concern, with significant ecological, economic, pu...
Marine plastic pollution is a major environmental concern, with significant ecological, economic, pu...
Bottle marine debris (BMD) remains one of the most pressing global issues. This study proposes a det...
International audienceThis paper presents a new Remote Hyperspectral Imaging System (RHIS) embedded ...
This pilot study demonstrates UAV-based image collection being a promising technology for plastic de...
Beached plastic and litter are the most common components of marine waste, with wet wipes comprising...
Marine plastic is a prolific issue concerning the world’s oceans, yet methods of detecting and quant...
Anthropogenic marine debris (AMD) represent a global threat for aquatic environments. It is importan...
The abundance of litter pollution in the marine environment has been increasing globally. Remote se...
Unmanned aerial vehicles (UAV, aka drones) are being used for mapping macro-litter in the environmen...
Anthropogenic litter density and composition data were obtained by conducting aerial surveys on 44 b...
Unmanned aerial systems (UAS, aka drones) are being used to map macro-litter on the environment. Six...
Unmanned aerial systems (UAS, aka drones) are being used to map macro-litter on the environment. Six...
Unmanned aerial systems (UAS, aka drones) are being used to map macro-litter on the environment. Six...
Marine litter is a global problem that requires soon management and design of mitigation strategies....
Marine plastic pollution is a major environmental concern, with significant ecological, economic, pu...
Marine plastic pollution is a major environmental concern, with significant ecological, economic, pu...
Bottle marine debris (BMD) remains one of the most pressing global issues. This study proposes a det...
International audienceThis paper presents a new Remote Hyperspectral Imaging System (RHIS) embedded ...