Publication | Open Access
A protocol for the large‐scale analysis of reefs using Structure from Motion photogrammetry
68
Citations
57
References
2020
Year
Motion PhotogrammetryEngineeringSeafloor MappingCoral EcosystemsReef HealthMarine SystemsOceanographyEarth ScienceUnderwater ImagingOcean MonitoringImage AnalysisCoral ReefStereo VisionOceanographic ResearchUnderwater 3D ReconstructionLarge‐scale AnalysisEcosystem ModelingMarine GeologyAcoustic CommunicationsGeographyDetailed 3DAbstract Substrate ComplexityDigital PhotogrammetryRemote SensingMarine Biology
Reef substrate complexity is a key health metric linked to disturbance, resilience, and biodiversity, and recent advances in underwater Structure from Motion photogrammetry have enabled large‑scale, reproducible 3D mapping of reef surfaces. This study presents a standardized protocol for collecting, analyzing, and visualizing large‑scale 3D reef data using open‑source tools, with the aim of facilitating broad ecological research across diverse underwater settings. The protocol employs underwater Structure from Motion photogrammetry to generate detailed 3D reconstructions and image mosaics for morphometric analysis at both reef‑scale and colony‑scale levels.
Abstract Substrate complexity is an essential metric of reef health and a strong predictor of several ecological processes connected to the reef, including disturbance, resilience, and associated community abundance and diversity. Underwater Structure from Motion (SfM) photogrammetry has been growing rapidly in use over the last 5 years due to advances in computing power, reduced costs of underwater digital cameras and a push for reproducible data. This has led to the adaptation of an originally terrestrial survey technique into the marine realm, which can now be applied at the habitat scale. This technique allows researchers to make detailed 3D reconstructions of reef surfaces for morphometric analysis of reef physical structure and perform large‐scale image‐mosaic mapping. SfM is useful for both reef‐scale and colony‐scale assessments, where visual or acoustic methods are impractical or not sufficiently detailed. Here we provide a protocol for the collection, analysis and display of 3D reef data, focussing on large‐scale habitat assessments of coral reefs using primarily open‐source software. We further suggest applications for other underwater environments and scales of assessment, and hope this standardized protocol will help researchers apply this technology and inspire new avenues of ecological research.
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