Litterdrone: marine litter characterization using drones and image analysis
Article Sidebar
Main Article Content
Fernando Martín Rodríguez
This communication is about “LitterDrone” project. LitterDrone is funded via the Blue-Labs program of the European commission and it aims to make a contribution to solve the problem of marine litter. Part of this problem is monitoring stranded marine litter on beaches (measuring number and type of litter elements). Monitoring results can be used to infer data on litter origin and on the influence of tides, currents and human activity. OSPAR convention [1] is a joint European initiative that tries to unify forces against marine pollution. Part of this convention implies that contracting parties (countries) must monitor periodically stranded marine litter on beaches. Spain has signed the convention in January 1994. Litter monitoring in Spain is nowadays implemented by human personnel counting (& picking) litter items in certain beaches at certain times (4 campaigns each year, one for each season). LitterDrone project aims to create a new and/or complementary methodology based on obtaining images from drone flights (creating orthomosaics of RGB and multiespectral images) and developing software to analyze such images to obtain results comparable to those of the manual sampling.
Article Details
Com citar
Martín Rodríguez, Fernando. «Litterdrone: marine litter characterization using drones and image analysis». Instrumentation viewpoint, 2018, núm. 20, https://raco.cat/index.php/Instrumentation/article/view/348191.
Articles més llegits del mateix autor/a
- Fernando Martín Rodríguez, Mónica Barral Martínez, Automatic turbot fish cutting using machine vision , Instrumentation viewpoint: 2015: Núm.: 18
- Xulio Fernández Hermida, Manuel Vázquez Enríquez, Fernando Martín Rodríguez, Hidroboya tm sampling platform: devolopment of a phisical and operational capabilities simulator , Instrumentation viewpoint: 2013: Núm.: 15
- Fernando Martín Rodríguez, Xulio Fernández Hermida, José Carlos Torres Barragáns, Automatic reading of intermodal containers ID numbers (ownership codes) , Instrumentation viewpoint: 2015: Núm.: 18
- Fernando Martín Rodríguez, Mónica Barral Martínez, Ángel Besteiro Fernández, José Antonio Vilán Vilán, IOBSERVER: species recognition via computer vision , Instrumentation viewpoint: 2016: Núm.: 19