dc.contributor.author
Rajabi, Roozbeh
dc.contributor.author
Zehtabian, Amin
dc.contributor.author
Singh, Keshav D.
dc.contributor.author
Tabatabaeenejad, Alireza
dc.contributor.author
Ghamisi, Pedram
dc.contributor.author
Homayouni, Saeid
dc.date.accessioned
2024-03-15T09:24:10Z
dc.date.available
2024-03-15T09:24:10Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/42842
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-42558
dc.format.extent
2 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
hyperspectral imaging
en
dc.subject
environmental monitoring
en
dc.subject
image processing
en
dc.subject
machine learning
en
dc.subject
remote sensing
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::550 Geowissenschaften
dc.title
Editorial: Hyperspectral imaging in environmental monitoring and analysis
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
1353447
dcterms.bibliographicCitation.doi
10.3389/fenvs.2023.1353447
dcterms.bibliographicCitation.journaltitle
Frontiers in Environmental Science
dcterms.bibliographicCitation.volume
11
dcterms.bibliographicCitation.url
https://doi.org/10.3389/fenvs.2023.1353447
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation.other
Institut für Chemie und Biochemie
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2296-665X
refubium.resourceType.provider
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