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Other literature type . 2023
License: CC BY
Data sources: ZENODO
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Presentation . 2023
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2023
License: CC BY
Data sources: Datacite
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Australia's Scalable Drone Platform - What it is, Lessons Learnt, Moving Forward

Authors: Klump, Jens;

Australia's Scalable Drone Platform - What it is, Lessons Learnt, Moving Forward

Abstract

Uncrewed Aerial Vehicles (UAVs), commonly referred to as drones, offer transformative potential in monitoring, research, conservation, and management. However, the lack of established best practices for drone data work and the complex nature of drone usage create challenges, especially for resource-constrained users. The acquired drone datasets, including extensive 3D geospatial time-series data, are difficult to manage and visualise. Processing such data demands high-end hardware and specialised workflows, often requiring tailored solutions from organisations. The absence of standardised practices impedes advanced processing tools for drone data and its integration with other sources. Each use case develops a unique data processing workflow that is rarely reused. Handling of drone-captured data often lacks adherence to data stewardship best practices, impacting its Findable, Accessible, Interoperable, and Reusable (FAIR) nature. Locating and reusing relevant sUAS software for field research proves difficult. The Australian Scalable Drone Cloud (ASDC), an ARDC-supported project, is a cloud-native platform for integrated drone data processing, pipeline development, visualisation, and publishing, supporting FAIR-From-Capture workflows. The aim of this "Birds of a Feather" (BoF) session is to bring together the Uncrewed Aerial System (UAS) user and developer communities and to explore and discuss best practices for the handling of drone-captured data, end-to-end data management and associated software and tools. We will also provide an overview of the ASDC, our implemented science pipelines, and findings from analysed use cases. We look forward to hearing from the user community about existing capabilities, unmet needs and opportunities for wider collaboration. For more information, visit https://asdc.io/.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green