Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing

• Published in: ISPRS journal of photogrammetry and remote sensing Vol. 178; pp. 81 - 96
• Main Authors: Laipelt, Leonardo, Henrique Bloedow Kayser, Rafael, Santos Fleischmann, Ayan, Ruhoff, Anderson, Bastiaanssen, Wim, Erickson, Tyler A., Melton, Forrest
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2021
• Subjects: algorithms; automation; Brazil; cerrado; Cloud computation; computer software; deforestation; eddy covariance; energy balance; ERA5 land; evapotranspiration; geeSEBAL; Google earth engine; Internet; irrigation; land cover; Landsat; Meteorological reanalysis; photogrammetry; Brazil; Meteorological reanalysis; Google earth engine; geeSEBAL; Cloud computation; ERA5 land; Landsat

The geeSEBAL application estimates and displays evapotranspiration maps and times series based on Landsat images and global meteorological data from ERA5 Land reanalysis. Codes and applications are available at https://github.com/et-brasil/geesebal and https://etbrasil.org/geesebal, respectively. [D...