Browsing NIVA Open Access Archive by Author "Poulsen, Robert Nøddebo"
Now showing items 1-4 of 4
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Detection of macroplastic on beaches using drones and object-based image analysis
Torsvik, Bjørn Maaløe; Poulsen, Robert Nøddebo; van Bavel, Bert; Gundersen, Hege; Hancke, Kasper (NIVA-rapport;7553, Research report, 2020)This 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 ... -
Drone and ground-truth data collection, image annotation and machine learning: A protocol for coastal habitat mapping and classification
Kvile, Kristina Øie; Gundersen, Hege; Poulsen, Robert Nøddebo; Sample, James Edward; Salberg, Arnt Børre; Ghareeb, Medyan Esam; Buls, Toms; Bekkby, Trine; Hancke, Kasper (Peer reviewed; Journal article, 2024)Aerial drone imaging is an efficient tool for mapping and monitoring of coastal habitats at high spatial and temporal resolution. Specifically, drone imaging allows for time- and cost-efficient mapping covering larger areas ... -
KELPMAP-Vega: Metodeutvikling for kartlegging av tareskog ved bruk av droner og satellittbilder (feltrapport)
Gundersen, Hege; Hancke, Kasper; Poulsen, Robert Nøddebo; Buls, Toms; Ghareeb, Medyan; Christie, Hartvig C; Kile, Maia Røst; Arvidsson, Karoline Slettebø; Kvile, Kristina Øie (NIVA-rapport;7790-2022, Research report, 2022)Rapporten er en del-leveranse i prosjektet "Metodeutvikling for kartlegging av tare ved bruk av droner og satellittbilder" og beskriver metoder for innsamling av høyoppløselige bilder ved hjelp av droner og generering av ... -
Method development for mapping kelp using drones and satellite images: Results from the KELPMAP-Vega project
Gundersen, Hege; Hancke, Kasper; Salberg, Arnt Børre; Poulsen, Robert Nøddebo; Buls, Toms; Liu, Izzie Yi; Ghareeb, Medyan; Christie, Hartvig C; Kile, Maia Røst; Bekkby, Trine; Arvidsson, Karoline Slettebø; Kvile, Kristina Øie (NIVA-rapport;7995-2024, Research report, 2024)The KELPMAP study demonstrated that high-resolution multispectral data from drones and satellites, combined with AI-based image analysis, can efficiently map kelp forests and other coastal habitats. The field campaign, ...