Research Article

Remote-Sensing Inversion Method for Evapotranspiration by Fusing Knowledge and Multisource Data

Table 1

Summary of commonly applied empirical regression methods.

MethodsParameter meaningReferencesRemark

is daily evapotranspiration, mm· is daily net radiation flux, MJ· · is daily soil heat flux, MJ· · are ground surface temperature and the temperature at 1.5 meters above the ground surface, at 13:30–14:00 local time, °C
is lysimeter empirical parameters for regression of observed data
Jackson et al. [4](1)

are radiated ground surface temperature and the temperature at 2 meters above the ground surface, at 13:00 local time, °C
and are calibration parameters based on surface roughness and atmospheric stability
Seguin et al.[5](2)

are radiated ground surface temperature and the temperature at 50 meters above ground surface, at 13:00 local time, °C
is average overall conductivity of daily apparent heat flux
is correction parameters for non-neutral static stability
Carlson et al.[6](3)

is daily reference evapotranspiration, mm· are parameters fitted using the PM formula based on local meteorological dataRivas and Caselles [7](4)