Mapping Marine Macroalgae along the Norwegian Coast Using Hyperspectral UAV Imaging and Convolutional Nets for Semantic Segmentation

Academic article

Year of publication: 2023
Journal: IEEE International Geoscience and Remote Sensing Symposium proceedings
External websites: DOI; Nasjonalt vitenarkiv
Involved from NIVA: Eli Rinde; Kasper Hancke
Contributors: Martin Hansen Skjelvareid, Eli Rinde, Kasper Hancke, Katalin Blix, Galice Guillaume Hoarau Show all

Summary

Marine macroalgae form underwater "blue forests" with several important functions. Hyperspectral imaging from unmanned aerial vehicles provides a rich set of spectral and spatial data that can be used to map the distribution of such macroalgae. Results from a study using 81 annotated hyper-spectral images from the Norwegian coast are presented. A U-net convolutional network was used for classification, and accuracies for all macroalgae classes were above 90%, indicating the potential of the method as an accurate tool for blue forest monitoring.