Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/29653
DC FieldValueLanguage
dc.contributor.authorRecanatesi, Fabioen
dc.contributor.authorGiuliani, C.en
dc.contributor.authorRossi , C. M.en
dc.contributor.authorRipa , M. N.en
dc.date.accessioned2020-10-20T22:43:20Z-
dc.date.available2020-10-20T22:43:20Z-
dc.date.issued2018en
dc.identifier.urihttp://hdl.handle.net/2067/29653-
dc.titleA Remote Sensing-Assisted Risk Rating Study to Monitor Pinewood Forest Declineen
dc.typebookParten
dc.identifier.doi10.1007/978-3-319-92099-3en
dc.relation.journalNew Metropolitan Perspectives. Local Knowledge and Innovation Dynamics Towards Territory Attractiveness Through the Implementation of Horizon/E2020/Agenda2030 Volume 1en
dc.relation.firstpage68en
dc.relation.lastpage75en
dc.relation.numberofpages8en
dc.relation.conferencenameNew Metropolitan Perspectives. Local Knowledge and Innovation Dynamics Towards Territory Attractiveness Through the Implementation of Horizon/E2020/Agenda2030 Volume 1en
dc.type.miur268en
dc.publisher.nameSpringeren
dc.publisher.placeBERLINen
dc.publisher.countryDEUen
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypebookPart-
Appears in Collections:B1. Contributo in volume (Capitolo o Saggio)
Show simple item record

Page view(s)

19
Last Week
0
Last month
1
checked on Jul 31, 2021

Google ScholarTM

Check

Altmetric


All documents in the "Unitus Open Access" community are published as open access.
All documents in the community "Prodotti della Ricerca" are restricted access unless otherwise indicated for specific documents