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Projecting live fuel moisture content via deep learning

Lynn Miller https://orcid.org/0000-0001-9899-9059 A * , Liujun Zhu B , Marta Yebra C D , Christoph Rüdiger E F and Geoffrey I. Webb A G
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A Department of Data Science and Artificial Intelligence, Monash University, Clayton, Vic. 3800, Australia.

B Yangtze Institute for Conservation and Development, Hohai University, Nanjing, 210024, China.

C Fenner School of Environment & Society, Australian National University, ACT 2601, Australia.

D School of Engineering, Australian National University, ACT 2601, Australia.

E Department of Civil Engineering, Monash University, Clayton, Vic. 3800, Australia.

F Science and Innovation Group, Bureau of Meteorology, Melbourne, Vic. 3008, Australia.

G Monash Data Futures Institute, Monash University, Clayton, Vic. 3800, Australia.

* Correspondence to: lynn.miller1@monash.edu

International Journal of Wildland Fire 32(5) 709-727 https://doi.org/10.1071/WF22188
Submitted: 23 August 2022  Accepted: 23 February 2023   Published: 20 March 2023



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Scientific Data. 2024 11(1).
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Forests. 2024 15(5). p.736

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