Tim van Emmerik
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View article: A semi-supervised learning-based framework for quantifying litter fluxes in river systems
A semi-supervised learning-based framework for quantifying litter fluxes in river systems Open
Supervised deep learning methods have been widely employed to detect floating macroplastic litter (>5 mm) in (fresh)water bodies. However, few studies used them to quantify floating litter fluxes in rivers with wide cross-sections, that is…
View article: Plastic pollution and water hyacinths consistently co-occur in the lower Saigon river
Plastic pollution and water hyacinths consistently co-occur in the lower Saigon river Open
View article: RiSIM: River surface image monitoring software for quantifying floating macroplastic transport
RiSIM: River surface image monitoring software for quantifying floating macroplastic transport Open
Reliable and continuous plastic monitoring in rivers is essential for quantifying plastic flux and guiding mitigation efforts. One effective strategy for observing floating plastic transport is image-based monitoring using deep learning mo…
View article: Correction: Editorial: Contributions to river plastic monitoring across scales, volume II
Correction: Editorial: Contributions to river plastic monitoring across scales, volume II Open
View article: Remote sensing and image analysis of macro-plastic litter: A review
Remote sensing and image analysis of macro-plastic litter: A review Open
Effective reduction of oceanic plastic pollution requires scalable and objective monitoring methods that go beyond traditional human-based surveys. This review synthesizes recent advances in remote sensing and AI-driven image analysis for …
View article: Flood Characteristics Drive River-Scale Macroplastic Deposition
Flood Characteristics Drive River-Scale Macroplastic Deposition Open
Plastic pollution is a global environmental challenge that negatively impacts species, ecosystems, and human livelihoods. River basins, with high population densities and poor waste management, are particularly exposed to plastic pollution…
View article: Mapping plastic waste entry points into the riverine environment
Mapping plastic waste entry points into the riverine environment Open
View article: Author comment: Suitability of river plastic monitoring methods for citizen science — R1/PR6
Author comment: Suitability of river plastic monitoring methods for citizen science — R1/PR6 Open
View article: Editorial: Contributions to river plastic monitoring across scales, volume II
Editorial: Contributions to river plastic monitoring across scales, volume II Open
View article: Uncertainties in Visual Observations of Floating Riverine Plastic
Uncertainties in Visual Observations of Floating Riverine Plastic Open
Accurate and reliable monitoring data are crucial for the design of effective plastic pollution reduction and mitigation strategies. One common approach to monitor macroplastic (>0.5 cm) in rivers is the visual observation method, where fl…
View article: Exploring the Transferability of Image-based algorithms for River Plastic Detection: The Value of Small Mix Datasets
Exploring the Transferability of Image-based algorithms for River Plastic Detection: The Value of Small Mix Datasets Open
View article: Author comment: Suitability of river plastic monitoring methods for citizen science — R0/PR1
Author comment: Suitability of river plastic monitoring methods for citizen science — R0/PR1 Open
View article: Flood type drives river-scale plastic deposition
Flood type drives river-scale plastic deposition Open
Plastic pollution is considered a global environmental challenge, prompting international regulation efforts such as the UN plastic treaty to end plastic pollution. River basins, with high population densities and poor waste management, ar…
View article: Reply to RC4
Reply to RC4 Open
View article: Reply to RC3
Reply to RC3 Open
View article: Reply to CC1
Reply to CC1 Open
View article: Reply to RC1
Reply to RC1 Open
View article: Reply to RC2
Reply to RC2 Open
View article: Scalable Classification of Riverine Plastic Hotspots Using Sentinel-2 and Cloud-Based Machine Learning
Scalable Classification of Riverine Plastic Hotspots Using Sentinel-2 and Cloud-Based Machine Learning Open
View article: Suitability of river plastic monitoring methods for citizen science
Suitability of river plastic monitoring methods for citizen science Open
Rivers act as long-term plastic storage and a pathway for land-based plastic pollution into the ocean. Monitoring river plastic at a global scale remains challenging, with only limited large-scale and long-term monitoring efforts to date. …
View article: Mapping Plastic Waste Entry Points into the Riverine Environment
Mapping Plastic Waste Entry Points into the Riverine Environment Open
View article: Plastic pathways and intervention strategies in urban water systems
Plastic pathways and intervention strategies in urban water systems Open
View article: Sustainable Implementation of Citizen-Based Plastic Monitoring of Fresh Waters in Western Africa
Sustainable Implementation of Citizen-Based Plastic Monitoring of Fresh Waters in Western Africa Open
Citizen science projects globally have increasingly been implemented in collecting and analysing environmental data. At the same time, these initiatives are often project-based and, therefore, of short duration. This presents a challenge a…
View article: Riverbank plastic distributions and how to sample them
Riverbank plastic distributions and how to sample them Open
As plastic pollution exists in aquatic ecosystems globally, monitoring its abundance and distribution has become crucial for understanding transport pathways, sources, sinks, and impacts. Riverbanks are accumulation zones for plastic, but …
View article: Detecting floating litter in freshwater bodies with semi-supervised deep learning
Detecting floating litter in freshwater bodies with semi-supervised deep learning Open
Researchers and practitioners have extensively utilized supervised Deep Learning methods to quantify floating litter in rivers and canals. These methods require the availability of large amount of labeled data for training. The labeling wo…
View article: Revealing the role of land-use features on macrolitter distribution in Swiss freshwaters
Revealing the role of land-use features on macrolitter distribution in Swiss freshwaters Open
View article: Efficient plastic detection in coastal areas with selected spectral bands
Efficient plastic detection in coastal areas with selected spectral bands Open
Marine plastic pollution poses significant ecological, economic, and social challenges, necessitating innovative detection, management, and mitigation solutions. Spectral imaging and optical remote sensing have proven valuable tools in det…
View article: Water hyacinths as riverine plastic pollution carriers
Water hyacinths as riverine plastic pollution carriers Open
Plastic pollution is an emerging entity threatening freshwater and marine ecosystems. Rivers play an important role in the transport and retention of plastic from land to sea. Tropical rivers are among the most polluted globally, and are a…
View article: Riverbank plastic distributions and how to sample them
Riverbank plastic distributions and how to sample them Open
As plastic pollution exists in aquatic ecosystems globally, monitoring its abundance and distribution has become crucial for understanding transport pathways, sources, sinks, and impacts. Riverbanks are accumulation zones for plastic, but …
View article: Developing a Generalizable Spectral Classifier for Rhodamine Detection in Aquatic Environments
Developing a Generalizable Spectral Classifier for Rhodamine Detection in Aquatic Environments Open
In environmental studies, rhodamine dyes are commonly used to trace water movements and pollutant dispersion. Remote sensing techniques offer a promising approach to detecting rhodamine and estimating its concentration, enhancing our under…