Journal article
From communities to individuals: Using remote sensing to inform and monitor woodland restoration
Ecological Management & Restoration, Vol.22(S2), pp.127-139
2021
Abstract
The benefits of using remote sensing technologies for informing and monitoring ecological restoration of forests from the community to the individual are presented. At the community level, we link remotely sensed measures of structural complexity with animal behaviour. At the plot level, we monitor the return of vegetation structure and ecosystem services (e.g. carbon sequestration) using data‐rich three‐dimensional point clouds. At the individual‐level, we use high‐resolution images to accurately classify plants to species and provenance and show genetic‐based variation in canopy structural traits. To facilitate the wider use of remote sensing in restoration, we discuss the challenges that remain to be resolved.
Details
- Title
- From communities to individuals: Using remote sensing to inform and monitor woodland restoration
- Authors
- Peter A Harrison (Corresponding Author) - University of TasmaniaNicolò Camarretta (Author) - University of TasmaniaSean Krisanski (Author) - University of TasmaniaTanya G Bailey (Author) - University of TasmaniaNeil J Davidson (Author) - University of TasmaniaGlen Bain (Author) - University of TasmaniaRowena Hamer (Author) - University of TasmaniaRiana Gardiner (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringKirstin Proft (Author) - University of TasmaniaMohammad Sadegh Taskhiri (Author) - University of TasmaniaPaul Turner (Author) - University of TasmaniaDarren Turner (Author) - University of TasmaniaArko Lucieer (Author) - University of Tasmania
- Publication details
- Ecological Management & Restoration, Vol.22(S2), pp.127-139
- Publisher
- Wiley-Blackwell Publishing Asia
- Date published
- 2021
- DOI
- 10.1111/emr.12505
- ISSN
- 1839-3330
- Grants
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99612008202621
- Output Type
- Journal article
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- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Ecology
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Source: InCites