Chartrand, Katie, Mumby, Peter, Ridley, Andy, Roelfsema, Chris, and Uusitalo, Jasmina (2022) Great Reef Census – A scalable shared economy approach to reconnaissance survey reef ecosystems. In: [Presented at the Australian Marine Sciences Association 2022 Conference]. From: Australian Marine Science Association Conference 2022: Change and connections, 7-12 August 2022, Cairns, QLD, Australia.

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Abstract

Reefs are changing faster and at bigger spatial scales than ever before, challenging traditional monitoring resources. The Great Reef Census is an innovative citizen science-based approach designed to deliver new ways of capturing large-scale reconnaissance data from across large reef systems such as the Great Barrier Reef. It seeks to establish a broad snapshot of the Reef’s condition in a credible, scientifically sound way while also mobilising the Australian and global community in its ongoing protection. The Census further aims to complement on-going and more spatially detailed monitoring while providing a unique lens and capacity to provide timely gaps in knowledge that enables broader reef research, impactful management and conservation.

Specifically, the Great Reef Census activates a survey “flotilla” of boats from private and commercial sectors to collect georeferenced reefscape photographs from prioritised reef locations during a targeted annual campaign across the entirety of the GBR — a ‘shared economy’ approach to building a billion-dollar research infrastructure. Survey information and photographs are uploaded to a digital platform for analysis and validation by a combination of a global virtual volunteer workforce, experts and AI. This talk will give an overview of the advancements over the first two years of the program from the in-water campaign and custom analysis platform. We will also provide a snapshot of year 1 results and how the information has been used to drive active management decisions on the Reef.

Item ID:	80214
Item Type:	Conference Item (Abstract / Summary)
Keywords:	citizen science, coral reefs, Great Barrier Reef, artificial intelligence
Date Deposited:	28 Aug 2023 23:51
FoR Codes:	41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410401 Conservation and biodiversity @ 40% 41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410402 Environmental assessment and monitoring @ 60%
SEO Codes:	18 ENVIRONMENTAL MANAGEMENT > 1805 Marine systems and management > 180501 Assessment and management of benthic marine ecosystems @ 60% 18 ENVIRONMENTAL MANAGEMENT > 1805 Marine systems and management > 180507 Rehabilitation or conservation of marine environments @ 40%
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