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Updated: Jun 29, 2026

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

Published on: April 15, 2021

Making marine image data FAIR.

Timm Schoening¹, Jennifer M Durden², Claas Faber³

¹GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany. tschoening@geomar.de.

Scientific Data

|July 15, 2022

Summary

This summary is machine-generated.

Marine image data face management challenges due to heterogeneity. We propose image FAIR Digital Objects (iFDOs) to improve data findability, accessibility, interoperability, and reusability for ocean research.

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Last Updated: Jun 29, 2026

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Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Area of Science:

Marine biology
Oceanography
Data science

Background:

Underwater imagery generates large, heterogeneous datasets challenging traditional data management.
Lack of standardized formats hinders objective comparison and information extraction for marine research.
Need for sustainable image analysis, processing, and long-term data repositories.

Purpose of the Study:

To propose and demonstrate image FAIR Digital Objects (iFDOs) for marine image data.
To establish an infrastructure for creating, managing, and utilizing iFDOs.
To enhance the findability, accessibility, interoperability, and reusability (FAIR) of marine image data.

Main Methods:

Development of an infrastructure environment for iFDO creation and exploitation.
Implementation of procedures for iFDO validation, management, and storage.
Identification of essential associated data for marine imagery curation.

Main Results:

Demonstrated creation and validation of iFDOs for marine imagery.
Showcased management and storage solutions for iFDOs.
Defined critical metadata for curating marine image datasets.

Conclusions:

iFDOs offer a standardized framework for managing heterogeneous marine image data.
The proposed infrastructure reduces image management overheads.
Implementation of iFDOs increases visibility and promotes reuse of marine image data.