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Assessment of an Automated Calibration of the SEBAL Algorit..:
Leonardo Laipelt
;
Anderson Luis Ruhoff
;
Ayan Santos Fleischmann
...
https://www.mdpi.com/2072-4292/12/7/1108. , 2020
Link:
https://doi.org/10.3390/rs12071108
RT Journal T1
Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:cad66330838a418aa6b554684d8cf489&Exemplar=1&LAN=DE A1 Leonardo Laipelt A1 Anderson Luis Ruhoff A1 Ayan Santos Fleischmann A1 Rafael Henrique Bloedow Kayser A1 Elisa de Mello Kich A1 Humberto Ribeiro da Rocha A1 Christopher Michael Usher Neale PB MDPI AG YR 2020 K1 Amazon K1 Cerrado K1 deforestation K1 evapotranspiration K1 SEBAL K1 Science K1 Q JF https://www.mdpi.com/2072-4292/12/7/1108 LK http://dx.doi.org/https://doi.org/10.3390/rs12071108 DO https://doi.org/10.3390/rs12071108 SF ELIB - SuUB Bremen
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