ArticleSensors (Basel, Switzerland)2019
Application of Hyperspectral Imaging to Underwater Habitat Mapping, Southern Adriatic Sea.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- In situ growth rates of cold-water corals fouling oceanographic moorings in the Central Mediterranean Sea.Scientific reports · 2026Article
- Low-Cost Hyperspectral Imaging in Macroalgae Monitoring.Sensors (Basel, Switzerland) · 2025Article
- OHID-1: A New Large Hyperspectral Image Dataset for Multi-Classification.Scientific data · 2025Article
- A Tunable Hyperspectral Imager for Detection and Quantification of Marine Biofouling on Coated Surfaces.Sensors (Basel, Switzerland) · 2022Article
- Assessment of agricultural prospects in relation to land use change and population pressure on a spatiotemporal framework.Environmental science and pollution research international · 2022Article
- Preliminary Classification of Selected Farmland Habitats in Ireland Using Deep Neural Networks.Sensors (Basel, Switzerland) · 2022Article
- Exploring time series of hyperspectral images for cold water coral stress response analysis.PloS one · 2022Article
- Underwater Hyperspectral Imaging Technology and Its Applications for Detecting and Mapping the Seafloor: A Review.Sensors (Basel, Switzerland) · 2020Review
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Authors and funding
19 authors.
Funding
Abstract
Hyperspectral imagers enable the collection of high-resolution spectral images exploitable for the supervised classification of habitats and objects of interest (OOI). Although this is a well-established technology for the study of subaerial environments, Ecotone AS has developed an underwater hyperspectral imager (UHI) system to explore the properties of the seafloor. The aim of the project is to evaluate the potential of this instrument for mapping and monitoring benthic habitats in shallow and deep-water environments. For the first time, we tested this system at two sites in the Southern Adriatic Sea (Mediterranean Sea): the cold-water coral (CWC) habitat in the Bari Canyon and the Coralligenous habitat off Brindisi. We created a spectral library for each site, considering the different substrates and the main OOI reaching, where possible, the lower taxonomic rank. We applied the spectral angle mapper (SAM) supervised classification to map the areal extent of the Coralligenous and to recognize the major CWC habitat-formers. Despite some technical problems, the first results demonstrate the suitability of the UHI camera for habitat mapping and seabed monitoring, through the achievement of quantifiable and repeatable classifications.
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Registered trials
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