sseb: Simple Surface Energy Balance
In WaterMap: Mapping evapo-transpiration from satellite images.
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
Computes Energy Balance according to Senay et al., 2007 (see below).
Input required are daily Penman-Monteith ETo (FAO56), LST, LST_hot and LST_cold. Computes Daily ETa.
Usage
1
sseb_eta(lst_h, lst_c, lst, et0PM)
Arguments
lst_h
hot pixel value
lst_c
cold pixel value
lst
Land Surface Temperature (band) data
et0PM
ETo PM FAO56 (band) data
Details
Senay et al. found a correlation coefficient of 0.95 with METRIC and correlation coefficients between 0.55-0.79 with SEBAL.
Value
Simple Surface Energy Balance
Author(s)
Yann Chemin, Umair Rabbani
References
Senay, G.B, M. Budde, J.P. Verdin, A.M. Melesse (2007). A Coupled Remote Sensing and Simplified Energy Balance Approach to Estimate Actual Evapotranspiration from Irrigated Fields. Sensors 7: 979-1000.
WaterMap documentation built on May 2, 2019, 4:43 p.m.
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Description Usage Arguments Details Value Author(s) References
Description
Computes Energy Balance according to Senay et al., 2007 (see below). Input required are daily Penman-Monteith ETo (FAO56), LST, LST_hot and LST_cold. Computes Daily ETa.
Usage
1 | sseb_eta(lst_h, lst_c, lst, et0PM)
|
Arguments
lst_h |
hot pixel value |
lst_c |
cold pixel value |
lst |
Land Surface Temperature (band) data |
et0PM |
ETo PM FAO56 (band) data |
Details
Senay et al. found a correlation coefficient of 0.95 with METRIC and correlation coefficients between 0.55-0.79 with SEBAL.
Value
Simple Surface Energy Balance
Author(s)
Yann Chemin, Umair Rabbani
References
Senay, G.B, M. Budde, J.P. Verdin, A.M. Melesse (2007). A Coupled Remote Sensing and Simplified Energy Balance Approach to Estimate Actual Evapotranspiration from Irrigated Fields. Sensors 7: 979-1000.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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