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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/asita/MicheliniDCKPMP22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Angelo_Carriero>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Daniele_Michelini>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Erico_Kutchartt>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Francesco_Pirotti>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Massimo_De_Marchi>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Michele_Dalponte>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Salvatore_Eugenio_Pappalardo>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2F978-3-031-17439-1%5F17>
foaf:homepage <https://doi.org/10.1007/978-3-031-17439-1_17>
dc:identifier DBLP conf/asita/MicheliniDCKPMP22 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F978-3-031-17439-1%5F17 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label Hyperspectral and LiDAR Data for the Prediction via Machine Learning of Tree Species, Volume and Biomass: A Contribution for Updating Forest Management Plans. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Angelo_Carriero>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Daniele_Michelini>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Erico_Kutchartt>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Francesco_Pirotti>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Massimo_De_Marchi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Michele_Dalponte>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Salvatore_Eugenio_Pappalardo>
swrc:pages 235-250 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/asita/2022>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/asita/MicheliniDCKPMP22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/asita/MicheliniDCKPMP22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/asita/asita2022.html#MicheliniDCKPMP22>
rdfs:seeAlso <https://doi.org/10.1007/978-3-031-17439-1_17>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/asita>
dc:title Hyperspectral and LiDAR Data for the Prediction via Machine Learning of Tree Species, Volume and Biomass: A Contribution for Updating Forest Management Plans. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document