Bayesian Geostatistical Models for Predicting Above-Ground Biomass from Remote Sensing Data

AuthID
P-01A-Z0P
3
Author(s)
Coelho, R
·
Fraile, S
Document Type
Article
Year published
2026
Published
in REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, ISSN: 2352-9385
Volume: 41, Pages: 101855 (26)
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Publication Identifiers
Scopus: 2-s2.0-105027979309
Wos: WOS:001667132700001
Source Identifiers
ISSN: 2352-9385
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