Remote sensing and machine learning techniques for above-ground biomass estimation on a regional scale

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Publisher:: Modelling and Simulation Society of Australia and New Zealand
Publication Type:: Conference Proceeding
Citation:: MODSIM2023, 25th International Congress on Modelling and Simulation., 2023
Issue Date:: 2023-08-01

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Field	Value	Language
dc.date.accessioned	2024-01-10T06:07:51Z
dc.date.available	2024-01-10T06:07:51Z
dc.date.issued	2023-08-01
dc.identifier.citation	MODSIM2023, 25th International Congress on Modelling and Simulation., 2023
dc.identifier.uri	http://hdl.handle.net/10453/174221
dc.language	en
dc.publisher	Modelling and Simulation Society of Australia and New Zealand
dc.relation.ispartof	MODSIM2023, 25th International Congress on Modelling and Simulation.
dc.relation.ispartof	MODSIM2023, 25th International Congress on Modelling and Simulation.
dc.relation.isbasedon	10.36334/modsim.2023.abdollahi
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Remote sensing and machine learning techniques for above-ground biomass estimation on a regional scale
dc.type	Conference Proceeding
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
dc.date.updated	2024-01-10T06:07:50Z
pubs.publication-status	Published

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