ArticlePloS one2019
Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthalene.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Utility of Spectral Filtering to Improve the Reliability of Marine Fauna Detections from Drone-Based Monitoring.Sensors (Basel, Switzerland) · 2023Article
- Exploring time series of hyperspectral images for cold water coral stress response analysis.PloS one · 2022Article
- Development of Coral Investigation System Based on Semantic Segmentation of Single-Channel Images.Sensors (Basel, Switzerland) · 2021Article
- Underwater Hyperspectral Imaging Technology and Its Applications for Detecting and Mapping the Seafloor: A Review.Sensors (Basel, Switzerland) · 2020Review
- Application of Hyperspectral Imaging to Underwater Habitat Mapping, Southern Adriatic Sea.Sensors (Basel, Switzerland) · 2019Article
- Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
11 authors.
Funding
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Abstract
Coral reefs around the world are under threat due to anthropogenic impacts on the environment. It is therefore important to develop methods to monitor the status of the reefs and detect changes in the health condition of the corals at an early stage before severe damage occur. In this work, we evaluate underwater hyperspectral imaging as a method to detect changes in health status of both orange and white color morphs of the coral species Lophelia pertusa. Differing health status was achieved by exposing 60 coral samples to the toxic compound 2-methylnaphthalene in concentrations of 0 mg L-1 to 3.5 mg L-1. A machine learning model was utilized to classify corals according to lethal concentration (LC) levels LC5 (5% mortality) and LC25 (25% mortality), solely based on their reflectance spectra. All coral samples were classified to correct concentration group. This is a first step towards developing a remote sensing technique able to assess environmental impact on deep-water coral habitats over larger areas.
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