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"Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate ..."

Leonardo Laipelt et al. (2020)

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DOI: 10.3390/RS12071108

access: open

type: Journal Article

metadata version: 2022-08-16

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  - journals/remotesensing/LaipeltRFKKRN20
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  - https://dblp.org/rec/journals/remotesensing/LaipeltRFKKRN20
Leonardo Laipelt, Anderson L. Ruhoff, Ayan Santos Fleischmann, Rafael Henrique Bloedow Kayser, Elisa de Mello Kich, Humberto Ribeiro da Rocha, Christopher M. U. Neale:
Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest-Savanna Transition in Brazil. Remote. Sens. 12(7): 1108 (2020)

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