Vegetation Fuel Characterization Using Machine Learning Approach over Southern Portugal

AuthID
 P-00Y-R3V
5
Author(s)
Santos, FLM
·
Couto, FT
·
Dias, SS
·
Document Type
Article
Year published
2023
Published
in REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, ISSN: 2352-9385
Volume: 32, Pages: 101017 (14)
Indexing
Wos®
Scopus®
Crossref®1
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85163895937
Wos: WOS:001055405000001
Source Identifiers
ISSN: 2352-9385
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