The Discovery Campaign on Remote Sensing of Plastic Marine Litter
Below is the list of projects implemented through the Open Space Innovation Platform (OSIP) Campaign 'Remote Sensing of Plastic Marine Litter'. Click on the title of an activity to find out more and discover its results.
- AIDMAP: Artificial intelligence and drones supporting the detection and mapping of floating aquatic plastic litter (VITO, Carl von Ossietzky University of Oldenburg, Vietnam Institute of Geodesy and Cartograph)
- AIR-SOS: Airborne & satellite observation strategies for marine litter monitoring (SkyfloX, Plymouth Marine Laboratory, Aufwind)
- BLUE: Brillouin – backscatter – fluorescence LIDAR research for Underwater Exploration of marine litter (CNR-IFAC, The Ocean Cleanup Project, Università di Roma «Sapienza»)
- DL4PlasticLitter: using Deep Learning methods for Plastic Litter detection from satellite remote Sensor (Capgemini)
- DOLPHINN: Detection of Ocean Litter Plastics with Hyper-to-multispectral Infrared Neural Networks (MDA)
- From source to sink: Tackling the plastic debris challenge at its source – Linking EO data with multi-source in situ data for modelling debris pathways from source to sink (Remote Sensing Solutions GmbH, AEBAM, Carl von Ossietzky Universität Oldenburg, CNR-ISMAR, Universität Bayreuth, Universidade de Coimbra, HYDROMOD Service GmbH)
- HyperDrone: Development of spectroradiometric proxies of shoreline marine plastic debris for satellite validation using remotely piloted aircraft (Plymouth Marine Laboratory, Scottish Association for Marine Science)
- LOCATE: Prediction of plastic hotspots in coastal regions using satellite derived plastic detection, cleaning data and numerical simulations in a coupled system (Universitat Politécncia de Catalunya, DHI GRAS)
- Marine litter aggregation forecast (Deep Blue Globe UG)
- MARLISAT: A full-range plastic marine litter monitoring service to support cleaning and littering reduction actions by mapping hotspots, pathways and littering sources (CLS, Pixalytics)
- ML-OPSI (ARGANS, University of Oldenburg, AIRBUS)
- MUSS2: Multi-Model synthetic S2-HS (hyperspectral) data for marine/plastic debris characterisation (Vrije Universiteit Brussel, Universitat Politècnica de València)
- Ocean Plastics Polarisation Properties OP³ (Carl von Ossietzky Universität Oldenburg)
- Ocean Scan: Marine litter database from Earth and space (Lobelia Earth by isardSAT, GFZ Helmholtz Centre Potsdam, University of Versailles, Prototyp Stockholm AB)
- PDBS: Plastic waste and the Black Sea, monitoring litter at sea and on the land from Sentinel-2 data (Argans)
- Plastic Litter Project (PLP): Detection and monitoring of artificial plastic targets with satellite imagery and UAV (University of the Aegean, CNR – ISMAR, AS Prote Maritime Ltd.)
- PLASTIC MONITOR: Detecting riverine plastic conglomerations, fluxes and pathways in Indonesia (Deltares, RiverRecycle)
- Plastic Plants: Detecting water hyacinth patches as a proxy for riverine plastic transport (Wageningen University and Research, Plymouth Marine Laboratory)
- PLASTICSURF: Can the microbial communities in the oceans help satellites to monitor microplastic pollution? (University of Stirling)
- REACT: Crowdsourcing, Copernicus and Hyperspectral Satellite Data for Marine Plastic Litter Detection, Quantification and Tracking (Planetek Italia, National Technical University of Athens, ARPA Puglia)
- FRONTAL: Satellite FRONTs for detection of Anthropogenic plastic Litter (Plymouth Marine Laboratory, isardSAT)
- SPOTS: Spectral Properties of Submerged and Biofouled Marine Plastic Litter (The Ocean Cleanup, University of the Aegean)
- TISPLALI: Thermal Infrared Sensing of marine Plastic Litter (North Highland College)
- TRACE: Detection and tracking of large marine litter based on high-resolution remote sensing time series, machine learning and ocean current modelling (GFZ, CNR-ISMAR, isardSAT)
- WASP: Mapping Windrows as Proxy for marine litter monitoring from space (Argans, University of Cadiz, ISMAR-CNR)
