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Semi-automated analysis of digital photographs for monitoring East Antarctic vegetation
Citation
KIng, DH and Wasley, J and Ashcroft, MB and Ryan-Colton, E and Lucieer, A and Chisholm, LA and Robinson, SA, Semi-automated analysis of digital photographs for monitoring East Antarctic vegetation, Frontiers in Plant Science, 11 Article 766. ISSN 1664-462X (2020) [Refereed Article]
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Copyright Statement
© 2021. King, Wasley, Ashcroft, Ryan-Colton, Lucieer, Chisholm and Robinson. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
DOI: doi:10.3389/fpls.2020.00766
Abstract
Item Details
Item Type: | Refereed Article |
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Keywords: | Antarctica, moss, vegetation cover, vegetation health, climate change, monitoring, OBIA, RGB |
Research Division: | Engineering |
Research Group: | Geomatic engineering |
Research Field: | Photogrammetry and remote sensing |
Objective Division: | Environmental Management |
Objective Group: | Management of Antarctic and Southern Ocean environments |
Objective Field: | Assessment and management of Antarctic and Southern Ocean ecosystems |
UTAS Author: | Lucieer, A (Professor Arko Lucieer) |
ID Code: | 148018 |
Year Published: | 2020 |
Funding Support: | Australian Research Council (DP110101714) |
Web of Science® Times Cited: | 3 |
Deposited By: | Geography and Spatial Science |
Deposited On: | 2021-11-30 |
Last Modified: | 2022-01-04 |
Downloads: | 4 View Download Statistics |
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