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

Title
Projecting Australia's forest cover dynamics and exploring influential factors using deep learning
Authors
Keywords
Long short-term memory, Deep learning, Forest cover change, Spatiotemporal data, Projections, Deforestation
Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 119, Issue -, Pages 407-417
Publisher
Elsevier BV
Online
2019-07-20
DOI
10.1016/j.envsoft.2019.07.013

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started