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MAPPING AND MONITORING OF VEGETATION REGENERATION AND FUEL UNDER MAJOR TRANSMISSION POWER LINES THROUGH IMAGE AND PHOTOGRAMMETRIC ANALYSIS OF DRONE-DE2.43 MB
Accepted VersionCC BY V4.0, Open Access
Journal article
Mapping and Monitoring of Vegetation Regeneration and Fuel Under major Transmission Power Lines Through Image and Photogrammetric Analysis of Drone-Derived Data
Geocarto International, Vol.38(1), pp.1-23
2023
Abstract
The use of drones and remote sensing in combination with geospatial analysis is a cost-efficient way to monitor energy distribution networks, especially those in fire-prone areas. This study investigated the use of image and photogrammetric analysis together with segmentation algorithms to assess vegetation height and volume in power line corridors in Southeast Queensland, Australia. Various fuel reduction techniques, including mega-mulching, spot sprays, and cool mosaic burns, were implemented, and drone-generated models were employed to evaluate their effectiveness. The fuel hazard reduction and regrowth in terms of vegetation height and volume were recorded and analysed. Importantly, the study demonstrates a robust correlation (R2=0.9073; df = 1,16; F = 156; p < 0.001) between field observations and drone-derived models, affirming the efficacy of this method in assessing fuel heights. This validation suggests that the approach could represent a viable, cost-efficient option for future monitoring and management of energy distribution networks in fire-prone areas.
Details
- Title
- Mapping and Monitoring of Vegetation Regeneration and Fuel Under major Transmission Power Lines Through Image and Photogrammetric Analysis of Drone-Derived Data
- Authors
- Josh Sos (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringTom Lewis (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringKim Penglase (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringPrashant K Srivastava (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringSingh Harikesh (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringSanjeev K Srivastava (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
- Publication details
- Geocarto International, Vol.38(1), pp.1-23
- Publisher
- Taylor & Francis
- Date published
- 2023
- DOI
- 10.1080/10106049.2023.2280597
- ISSN
- 1752-0762; 1010-6049
- Copyright note
- © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Data Availability
- The data collected and analysed in this study remain the property of the University of the Sunshine Coast. Access to this data for approved use can be obtained via the corresponding author.
- Organisation Unit
- School of Science, Technology and Engineering; Forest Research Institute; Sustainability Research Cluster
- Language
- English
- Record Identifier
- 99976898802621
- Output Type
- Journal article
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