Integration of National Forest Inventory and Nationwide Airborne Laser Scanning Data to Improve Forest Yield Predictions in North-Western Spain

dc.contributor.author	Novo Fernández, Alis Suevia
dc.contributor.author	Barrio Anta, Marcos
dc.contributor.author	Recondo González, María del Carmen
dc.contributor.author	Cámara Obregón, Asunción
dc.contributor.author	López Sánchez, Carlos Antonio
dc.date.accessioned	2019-11-14T10:21:59Z
dc.date.available	2019-11-14T10:21:59Z
dc.date.issued	2019
dc.identifier.citation	Remote Sensing, 11(14), p. 1693- (2019); doi:10.3390/rs11141693
dc.identifier.uri	http://hdl.handle.net/10651/53148
dc.description.sponsorship	The research was partially supported by the Hunosa Chair at the University of Oviedo (Project Reference SV-17-HUNOSA-1)
dc.format.extent	p. 1693-
dc.language.iso	eng
dc.relation.ispartof	Remote Sensing
dc.rights	© 2019 by the authors
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	WOS:000480527800063
dc.title	Integration of National Forest Inventory and Nationwide Airborne Laser Scanning Data to Improve Forest Yield Predictions in North-Western Spain
dc.type	journal article
dc.identifier.doi	10.3390/rs11141693
dc.relation.projectID	SV-17-HUNOSA-1
dc.relation.publisherversion	http://dx.doi.org/10.3390/rs11141693
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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