Assessment of an Automated Calibration of the SEBAL...

Remote Sensing 2020 / 03 Vol. 12; Iss. 7

Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil

Laipelt, Leonardo, Ruhoff, Anderson Luis, Fleischmann, Ayan Santos, Kayser, Rafael Henrique Bloedow, Kich, Elisa de Mello, da Rocha, Humberto Ribeiro, Neale, Christopher Michael Usher
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Volume:
12
Journal:
Remote Sensing
DOI:
10.3390/rs12071108
Date:
March, 2020
File:
PDF, 13.99 MB
2020
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