An Automated and Improved Methodology to Retrieve Long-time Series of Evapotranspiration Based on Remote Sensing and Reanalysis Data

An Automated and Improved Methodology to Retrieve Long-time Series of Evapotranspiration Based on Remote Sensing and Reanalysis Data

The large-scale quantification of accurate evapotranspiration (ET) time series has substantially been developed in recent decades using automated approaches based on remote sensing data. However, there are still several model-related uncertainties that require precise assessment. In this study, the...

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Bibliographic Details
Main Authors: Mojtaba Saboori, Yousef Mousivand, Jordi Cristóbal, Reza Shah-Hosseini, Ali Mokhtari
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
evapotranspiration
SEBAL
endmember selection
Landsat
GLDAS
time series
Online Access:https://www.mdpi.com/2072-4292/14/24/6253

Internet

https://www.mdpi.com/2072-4292/14/24/6253

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