This webinar originally aired on Thursday, April 16, 2026.
Presented by: Kostas Topouzelis of Scidrones
Date/Time: Thursday, April 16, 10 am US EDT/7 am US PDT/2 pm UTC/3 pm BST/4 CEST/5 pm EEST
Description: Marine litter is a significant environmental problem that can dramatically affect flora and fauna and have severe economic impacts on coastal communities, tourism, and fisheries. Currently, most mapping protocols for marine litter in the coastal environment rely on conventional on-site sampling, with limited ability to spatially display concentrations of coastal zone marine waste. To provide real-time, actionable data, Scidrones has created the Coastal Marine Litter Observatory (CMLO), an online platform that detects, maps, and monitors marine litter in the coastal zone using Unmanned Aerial Systems (UAS) and machine learning. UAS aerial images – collected using the Scidrones data acquisition protocol and uploaded to the CMLO platform – provide wide area coverage of actual litter, and machine learning algorithms are used to detect marine litter and categorize it (i.e., plastic, paper, metal, cloth, glass and ceramic, rubber, and wood). Marine debris in the coastal zone is then visualized through high-resolution density maps and spatiotemporal analytics, enabling scalable, operational monitoring and empowering stakeholders to take precise, data-driven action for cleaner beaches and coastlines. A free trial covering 1 km of coastline is available, allowing users to test and explore the platform’s capabilities.
Hosted by: OCTO