Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/38732
DC FieldValueLanguage
dc.contributor.authorVaglio Laurin, G.en
dc.contributor.authorPirotti, F.en
dc.contributor.authorCallegari, M.en
dc.contributor.authorChen, Q.en
dc.contributor.authorCuozzo, G.en
dc.contributor.authorLingua, E.en
dc.contributor.authorNotarnicola, C.en
dc.contributor.authorPapale, Darioen
dc.date.accessioned2020-10-20T23:02:14Z-
dc.date.available2020-10-20T23:02:14Z-
dc.date.issued2017en
dc.identifier.urihttp://hdl.handle.net/2067/38732-
dc.titlePotential of ALOS2 and NDVI to Estimate Forest Above-Ground Biomass, and Comparison with Lidar-Derived Estimatesen
dc.typearticleen
dc.identifier.doi10.3390/rs9010018en
dc.identifier.scopus2-s2-85010669554en
dc.relation.issn20724292en
dc.relation.journalREMOTE SENSINGen
dc.relation.conferencenameREMOTE SENSINGen
dc.relation.volume9en
dc.relation.issue9en
dc.type.miur262en
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.openairetypearticle-
crisitem.journal.journalissn1032-9714-
crisitem.journal.anceE235714-
Appears in Collections:A1. Articolo in rivista
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