Projecting Australia's forest cover dynamics and exploring influential factors using deep learning

Ye, Long, Gao, Lei, Marcos-Martinez, Raymundo, Mallants, Dirk and Bryan, Brett A 2019, Projecting Australia's forest cover dynamics and exploring influential factors using deep learning, Environmental modelling and software, vol. 119, pp. 407-417, doi: 10.1016/j.envsoft.2019.07.013.

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Title Projecting Australia's forest cover dynamics and exploring influential factors using deep learning
Author(s) Ye, Long
Gao, Lei
Marcos-Martinez, Raymundo
Mallants, Dirk
Bryan, Brett AORCID iD for Bryan, Brett A orcid.org/0000-0003-4834-5641
Journal name Environmental modelling and software
Volume number 119
Start page 407
End page 417
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-09
ISSN 1364-8152
Keyword(s) Long short-term memory
Deep learning
Forest cover change
Spatiotemporal data
Projections
Deforestation
Language eng
DOI 10.1016/j.envsoft.2019.07.013
Indigenous content off
Field of Research MD Multidisciplinary
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Elsevier Ltd
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128734

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