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Note: This document is for an older version of GRASS GIS that will be discontinued soon. You should upgrade, and read the current manual page.


i.eb.soilheatflux - Soil heat flux approximation (Bastiaanssen, 1995).


imagery, energy balance, soil heat flux, SEBAL


i.eb.soilheatflux --help
i.eb.soilheatflux [-r] albedo=name ndvi=name temperature=name netradiation=name localutctime=name output=name [--overwrite] [--help] [--verbose] [--quiet] [--ui]


HAPEX-Sahel empirical correction (Roerink, 1995)
Allow output files to overwrite existing files
Print usage summary
Verbose module output
Quiet module output
Force launching GUI dialog


albedo=name [required]
Name of albedo raster map [0.0;1.0]
ndvi=name [required]
Name of NDVI raster map [-1.0;+1.0]
temperature=name [required]
Name of Surface temperature raster map [K]
netradiation=name [required]
Name of Net Radiation raster map [W/m2]
localutctime=name [required]
Name of time of satellite overpass raster map [local time in UTC]
output=name [required]
Name for output raster map

Table of contents


i.eb.soilheatflux calculates the soil heat flux approximation (g0) after Bastiaanssen (1995). The main reference for implementation is Alexandridis, 2009. It takes input of Albedo, NDVI, Surface Skin temperature, Net Radiation (see r.sun), time of satellite overpass, and a flag for the Roerink empirical modification from the HAPEX-Sahel experiment. The "time of satellite overpass" map can be obtained as follows: For Landsat, the overpass map can be computed by using a two-step method:
# 1) extract the overpass time in GMT from metadata file

i.landsat.toar -p input=dummy output=dummy2 \
   metfile=LC81250452013338LGN00_MTL.txt lsatmet=time
# ... in this example approx. 03:12am GMT

# 2) create map for computational region of Landsat scene
g.region rast=LC81250452013338LGN00_B4 -p
r.mapcalc "overpasstime = 3.211328"


r.sun, i.albedo, i.emissivity, i.eb.hsebal01, i.eb.evapfr i.landsat.toar


Bastiaanssen, W.G.M., 1995. Estimation of Land surface parameters by remote sensing under clear-sky conditions. PhD thesis, Wageningen University, Wageningen, The Netherlands. (PDF)

Chemin Y., Alexandridis T.A., 2001. Improving spatial resolution of ET seasonal for irrigated rice in Zhanghe, China. Asian Journal of Geoinformatics. 5(1):3-11,2004.

Alexandridis T.K., Cherif I., Chemin Y., Silleos N.G., Stavrinos E., Zalidis G.C. Integrated methodology for estimating water use in Mediterranean agricultural areas. Remote Sensing. 2009, 1, 445-465. (PDF)

Chemin, Y., 2012. A Distributed Benchmarking Framework for Actual ET Models, in: Irmak, A. (Ed.), Evapotranspiration - Remote Sensing and Modeling. InTech. (PDF)


Yann Chemin, Asian Institute of Technology, Thailand


Available at: i.eb.soilheatflux source code (history)

Latest change: Monday Nov 18 20:15:32 2019 in commit: 1a1d107e4f6e1b846f9841c2c6fabf015c5f720d

Note: This document is for an older version of GRASS GIS that will be discontinued soon. You should upgrade, and read the current manual page.

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