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Assessing GEDI-NASA system for forest fuels classification ..:
Hoffrén, Raúl
;
Lamelas, María Teresa
;
de la Riva, Juan
...
International Journal of Applied Earth Observation and Geoinformation. 116 (2023) - p. 103175 , 2023
Link:
https://doi.org/10.1016/j.jag.2022.103175
RT Journal T1 <Title>Assessing GEDI-NASA system for forest fuels classification using machine learning techniques</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jag.2022.103175&Exemplar=1&LAN=DE A1 Hoffrén, Raúl A1 Lamelas, María Teresa A1 de la Riva, Juan A1 Domingo, Darío A1 Montealegre, Antonio Luis A1 García-Martín, Alberto A1 Revilla, Sergio PB Elsevier BV YR 2023 SN 1569-8432 JF International Journal of Applied Earth Observation and Geoinformation VO 116 SP 103175 LK http://dx.doi.org/https://doi.org/10.1016/j.jag.2022.103175 DO https://doi.org/10.1016/j.jag.2022.103175 SF ELIB - SuUB Bremen
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