logo
Data

Unmanned Aircraft System Multispectral, Pansharpened and LWIR Orthomosaics, QUT Samford Ecological Research Facility 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 128 times
Accessed 25 times
Dataset Created: 2022-07-15
Dataset Published: 2023-01-16
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPUAV Altum-PT Multispectral, Pansharpened and LWIR Orthomosaics (.tif)HTTPro-crate-metadata.json
How to cite this collection:
Bratanov, D. (2023). Unmanned Aircraft System Multispectral, Pansharpened and LWIR Orthomosaics, QUT Samford Ecological Research Facility. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/vcrg-ys61 
This dataset contains Unmanned Aircraft System (UAS) multispectral, pansharpened and long-wave infrared (LWIR) orthomosaics of the Samford Ecological Research Facility (SERF), Queensland University of Technology. SERF is located in the Samford Valley, west of Brisbane, Australia and is the usual place for flight testing and evaluation of new equipment. The QUT's Research Engineering Facility team operated DJI Matrice 300RTK (M300) with latest MicaSense Altum-PT (5-band multispectral sensor, LWIR, panchromatic channels and downlight sensor). The images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station and also georectified with 5 ground control points collected by Emlid Reach RS GNSS receivers. In the processing workflow in Agisoft Metashape, the multispectral orthomosaics were orthorectified and pan-sharpened. Dense point clouds were used to generate multispectral (GSD 3.4 cm/px), panchromatic and multispectral pansharpened (GSD 1.6 cm/pixel) and LWIR (GSD 21 cm/pixel) orthomosaics. 
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. The dataset was collected using the expertise and research infrastructure of the Research Engineering Facility (REF) team: Dean Gilligan, Dirk Lessner, Dmitry Bratanov, Gavin Broadbent, James Mount, Riki Lamont. 
Purpose
The Altum-PT dataset was collected in this first evaluation flight to assess this new capability of QUT's Research Engineering Facility. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Samford Ecological Research Facility, Samford Valley QLD 4520, Australia
Temporal Coverage
From 2022-07-15 to 2022-07-15 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
DJI M300 RTK Remotely Piloted Aircraft System (RPAS, aka UAS) was operated in differential GNSS mode with ground based DJI D-RTK 2 mobile station providing geospacial timestamps into imagery. Additional five control points of Emlid Reach RS receiver was used to reduce vertical offset error. Raw imagery were processed in Agisoft Metashape. Reflectance calibration was performed using captures of the MicaSense Calibration Panel taken before the flight. 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
Check point accuracy: horizontal 40 cm, vertical 45 cm. Reprojection error < 0.5 pixel. 
ANZSRC - FOR
Aerospace engineering
Agricultural land management
Biosecurity science and invasive species ecology
Photogrammetry and remote sensing
GCMD Sciences
LAND SURFACE - LAND RESOURCES
LAND SURFACE - LANDSCAPE
SPECTRAL/ENGINEERING
SPECTRAL/ENGINEERING - INFRARED IMAGERY
Horizontal Resolution
< 1 meter
Instruments
MicaSense Altum-PT
Parameters
multispectral imaging
Platforms
DJI Matrice 300 RTK
Temporal Resolution
one off
Topic
environment
User Defined
Altum-PT
Drone
LWIR
Multispectral
Pansharpened
RPAS
UAV
Author
Bratanov, Dmitry
Collaborator
Research Engineering Facility, Queensland University of Technology
Contact Point
Research Engineering Facility, Queensland University of Technology
Bratanov, Dmitry
Publisher
Terrestrial Ecosystem Research Network
Export to DCATExport to BibTeXExport to EndNote/Zotero
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/
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.