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Uncrewed Aircraft System (UAS) RGB and Multispectral Imagery Data - Calperum Mallee Site, 2022 

Ver: 1
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 888 times
Accessed 239 times
Dataset Created: 2022-05-16
Dataset Published: 2022-11-14
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPUAS RGB and Multispectral Imagery : Orthomosaic DataHTTPUAS RGB and Multispectral Imagery : Raw DataHTTPro-crate-metadata.jsonWFSUAS RGB and Multispectral Imagery : WFSWMSuas_surveillance
How to cite this collection:
TERN Landscapes, TERN Ecosystem Surveillance, Stenson, M., Sparrow, B. & Lucieer, A. (2022). Uncrewed Aircraft System (UAS) RGB and Multispectral Imagery Data - Calperum Mallee Site, 2022. Version 1. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/39de90f5-49e3-4567-917c-cf3e3bc93086 
This dataset contains RGB and multispectral imagery collected at TERN’s Calperum Mallee SuperSite during a field trial of an Uncrewed Aircraft System (UAS), conducted to assess the use of drone-based imagery for the TERN Drone project across existing and future TERN sites (AusPlots, SuperSites, and Cal/Val sites). Standardised TERN Ecosystem Surveillance Drone Data Collection and Data Processing protocols are used to collect drone imagery and to generate orthomosaics. The protocols developed in 2022 are based on the DJI Matrice 300 (M300) RTK drone platform. DJI Zenmuse P1 and MicaSense RedEdge-MX/Dual sensors are used with M300 to capture RGB and multispectral imagery simultaneously. The data is georeferenced using the DJI D-RTK2 base station and onboard GNSS RTK. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) are interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate co-registered RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. Mission-specific metadata for each plot is provided in the imagery/metadata folder. The Drone Data Collection and RGB and Multispectral Imagery Processing protocols can be found at https://www.tern.org.au/field-survey-apps-and-protocols/ . 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. This project was funded by TERN Landscapes. 
Purpose
The aim of the drone-based surveys is to achieve consistent and robust data collection to facilitate ecosystem monitoring. 
Lineage
Data not provided. 
Method DocumentationDrone Data Collection Protocol
Procedure StepsData not provided.
TERN’s Calperum Mallee SuperSite is in a mallee semi-arid ecosystem, fringing the River Murray floodplains on Calperum Station, near Renmark, South Australia. The area comprises undulating mallee woodlands and riverine vegetation alongside the river. All areas are in the process of recovering from extensive grazing. The Native Title for the area is held by the First Peoples of the River Murray and Mallee.
Temporal Coverage
From 2022-05-16 to 2022-05-19 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Landscape ecology
GCMD Sciences
BIOSPHERE - FOREST COMPOSITION/VEGETATION STRUCTURE
LAND SURFACE - LANDSCAPE ECOLOGY
Horizontal Resolution
< 1 meter
Instruments
DJI Zenmuse P1
MicaSense RedEdge-MX
MicaSense RedEdge-MX Dual
Parameters
relative reflectance value
RGB values
Platforms
DJI Matrice 300 RTK
Temporal Resolution
irregular
Topic
environment
User Defined
drone
RPAS
UAS
unoccupied aircraft systems
Author
TERN Landscapes
TERN Ecosystem Surveillance
Co-Author
Stenson, Matt
Sparrow, Ben
Lucieer, Arko
Contact Point
Stenson, Matt
Lucieer, Arko
Sparrow, Ben
Publisher
Terrestrial Ecosystem Research Network
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Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
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Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting