i.biomass.1grass man page

i.biomass — Computes biomass growth, precursor of crop yield calculation.


imagery, biomass, FPAR, yield


i.biomass --help
i.biomass fpar=name lightuse_efficiency=name latitude=name dayofyear=name transmissivity_singleway=name water_availability=name output=name  [--overwrite]  [--help]  [--verbose]  [--quiet]  [--ui]



Allow output files to overwrite existing files


Print usage summary


Verbose module output


Quiet module output


Force launching GUI dialog


fpar=name [required]

Name of fPAR raster map

lightuse_efficiency=name [required]

Name of light use efficiency raster map (UZB:cotton=1.9)

latitude=name [required]

Name of degree latitude raster map [dd.ddd]

dayofyear=name [required]

Name of Day of Year raster map [1-366]

transmissivity_singleway=name [required]

Name of single-way transmissivity raster map [0.0-1.0]

water_availability=name [required]

Value of water availability raster map [0.0-1.0]

output=name [required]

Name for output daily biomass growth raster map [kg/ha/d]


i.biomass calculates the biomass growth for a day after [1][2]. Input:

  • fPAR, the modified Photosynthetic Active Radiation for crops.
  • Light Use Efficiency [0.0-1.0], in Uzbekistan cotton is at 1.9 most of the time.
  • Latitude [0.0-90.0], from r.latlong.
  • DOY [1-366].
  • Transmissivity of the Atmosphere single-way [0.0-1.0], mostly around 0.7+ in clear sky.
  • Water availability [0.0-1.0], possibly using direct output from i.eb.evapfr.


It can use the output of i.eb.evapfr directly as water availability input.


Remove Latitude, DOY and Tsw from input and replace with a raster input compatible with r.sun output.

See Also

i.eb.evapfr, r.latlong


[1] Bastiaanssen, W.G.M., Ali, S., 2002. A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan. Agriculture, Ecosystems and Environment, 94(3):321-340. (PDF)

[2] Chemin, Y., Platonov, A., Abdullaev, I., Ul-Hassan, M. 2005. Supplementing farm level water productivity assessment by remote sensing in transition economies. Water International. 30(4):513-521.


Yann Chemin, Bec de Mortagne, France

Last changed: $Date: 2014-12-09 18:31:29 +0100 (Tue, 09 Dec 2014) $

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