Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil
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Title
Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil
Authors
Keywords
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Journal
Remote Sensing
Volume 12, Issue 7, Pages 1108
Publisher
MDPI AG
Online
2020-04-01
DOI
10.3390/rs12071108
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