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Cloud-based national on-line services to annotate and analyse underwater imagery


Proctor, R and Langlois, T and Friedman, A and Mancini, S and Hoenner, X and Davey, B, Cloud-based national on-line services to annotate and analyse underwater imagery, Proceedings of the IMDIS 2018 International Conference on Marine Data and Information Systems, 05-07 November 2018, Barcelona, Spain, pp. 49. ISSN 0006-6729 (2018) [Conference Extract]

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Fish image annotation data and benthic habitat imagery is currently collected by various research, management and academic institutions globally (+100,000ís hours of deployments) with varying degrees of standardisation and limited formal collaboration or data synthesis.

Two developing software tools have been brought together in the Australian Research Data Cloud to provide marine biologists with a powerful service for image annotation. SQUIDLE+ ( is an online platform designed for exploration, management and annotation of georeferenced images & video data. It provides a flexible annotation framework allowing users to work with their preferred annotation schemes. We have used SQUIDLE+ to sample the habitat composition and complexity of images of the benthos collected using autonomous underwater vehicles (AUV) and stereo-Baited Remote Underwater Video (BRUV). GlobalArchive (http:// is designed to be a centralised repository of aquatic ecological survey data with design principles including ease of use, secure user access, flexible data import, and the collection of any sampling and image analysis information. To easily share and synthesise data we have implemented data sharing protocols, including Open Data and synthesis Collaborations, and a spatial map to explore global datasets and filter to create a synthesis.

We present a case study of how these national on-line services, developed within a domain oriented research cloud, are being used to a) annotate habitat images collected using AUVs and b) synthesise fish annotation data sets from baited remote underwater stereo-BRUVs. These outputs are integrated into Global Archive and linked to an R virtual desktop analysis suite to offer an unprecedented capability to deliver marine biodiversity information of value to marine managers and scientists alike.

Item Details

Item Type:Conference Extract
Keywords:marine data, information systems
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Physical oceanography
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Proctor, R (Dr Roger Proctor)
UTAS Author:Mancini, S (Mr Sebastien Mancini)
UTAS Author:Hoenner, X (Mr Xavier Hoenner)
UTAS Author:Davey, B (Mr Brendan Davey)
ID Code:129264
Year Published:2018
Deposited By:Integrated Marine Observing System
Deposited On:2018-11-20
Last Modified:2018-11-20
Downloads:1 View Download Statistics

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