Drone and ground-truth data collection, image annotation and machine learning: A protocol for coastal habitat mapping and classification.

ABSTRACT: 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 than traditional mapping and monitoring techniques, while also providing more detailed information than those from airplanes and satellites, enabling for example to differentiate various types of coastal vegetation. Here, we present a systematic method for shallow water habitat classification based on drone imagery. The method includes:•Collection of drone images and creation of orthomosaics.•Gathering ground-truth data in the field to guide the image annotation and to validate the final map product.•Annotation of drone images into - potentially hierarchical - habitat c

SUBMITTER: Kvile KO 

PROVIDER: S-EPMC11409010 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature