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Using digital surface models from UAS imagery of fire damaged sphagnum peatlands for monitoring and hydrological restoration


de Roos, S and Turner, D and Lucieer, A and Bowman, DMJS, Using digital surface models from UAS imagery of fire damaged sphagnum peatlands for monitoring and hydrological restoration, Drones, 2, (4) Article 45. ISSN 2511-8439 (2018) [Refereed Article]


Copyright Statement

Copyright 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.3390/drones2040045


The sub-alpine and alpine Sphagnum peatlands in Australia are geographically constrained to poorly drained areas c. 1000 m a.s.l. Sphagnum is an important contributor to the resilience of peatlands; however, it is also very sensitive to fire and often shows slow recovery after being damaged. Recovery is largely dependent on a sufficient water supply and impeded drainage. Monitoring the fragmented areas of Australia’s peatlands can be achieved by capturing ultra-high spatial resolution imagery from an unmanned aerial systems (UAS). High resolution digital surface models (DSMs) can be created from UAS imagery, from which hydrological models can be derived to monitor hydrological changes and assist with rehabilitation of damaged peatlands. One of the constraints of the use of UAS is the intensive fieldwork required. The need to distribute ground control points (GCPs) adds to fieldwork complexity. GCPs are often used for georeferencing of the UAS imagery, as well as for removal of artificial tilting and doming of the photogrammetric model created by camera distortions. In this study, Tasmania’s northern peatlands were mapped to test the viability of creating hydrological models. The case study was further used to test three different GCP scenarios to assess the effect on DSM quality. From the five scenarios, three required the use of all (16-20) GCPs to create accurate DSMs, whereas the two other sites provided accurate DSMs when only using four GCPs. Hydrological maps produced with the TauDEM tools software package showed high visual accuracy and a good potential for rehabilitation guidance, when using ground-controlled DSMs.

Item Details

Item Type:Refereed Article
Keywords:UAS, UAV, GCP, DSM, TauDEM, peatland, drone, sphagnum, restoration, terrain modelling, hydrology
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:Turner, D (Dr Darren Turner)
UTAS Author:Lucieer, A (Professor Arko Lucieer)
UTAS Author:Bowman, DMJS (Professor David Bowman)
ID Code:131172
Year Published:2018
Web of Science® Times Cited:6
Deposited By:Geography and Spatial Science
Deposited On:2019-03-06
Last Modified:2019-04-24
Downloads:36 View Download Statistics

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