Improving the Spatial Prediction of Sand Content in Forest Soils Using a Multivariate Geostatistical Analysis of LiDAR and Hyperspectral Data

Castrignanò, Annamaria; Buttafuoco, Gabriele; Conforti, Massimo; Maesano, Mauro; Moresi, Federico Valerio; Scarascia Mugnozza, Giuseppe

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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/51009

DC Field	Value	Language
dc.contributor.author	Castrignanò, Annamaria	it
dc.contributor.author	Buttafuoco, Gabriele	it
dc.contributor.author	Conforti, Massimo	it
dc.contributor.author	Maesano, Mauro	it
dc.contributor.author	Moresi, Federico Valerio	it
dc.contributor.author	Scarascia Mugnozza, Giuseppe	it
dc.date.accessioned	2024-02-27T09:09:42Z	-
dc.date.available	2024-02-27T09:09:42Z	-
dc.date.issued	2023	it
dc.identifier.issn	2072-4292	it
dc.identifier.uri	http://hdl.handle.net/2067/51009	-
dc.format.medium	ELETTRONICO	it
dc.rights	Attribution 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.title	Improving the Spatial Prediction of Sand Content in Forest Soils Using a Multivariate Geostatistical Analysis of LiDAR and Hyperspectral Data	it
dc.type	article	*
dc.identifier.doi	10.3390/rs15184416	it
dc.identifier.url	https://www.mdpi.com/2072-4292/15/18/4416	it
dc.relation.journal	REMOTE SENSING	it
dc.relation.article	4416	it
dc.relation.volume	15	it
dc.relation.issue	18	it
dc.contributor.country	ITA	it
dc.type.miur	262	*
item.grantfulltext	restricted	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.cerifentitytype	Publications	-
item.fulltext	With Fulltext	-
item.openairetype	article	-
crisitem.journal.journalissn	1032-9714	-
crisitem.journal.ance	E235714	-
Appears in Collections:	A1. Articolo in rivista

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