Note: This document is for an older version of GRASS GIS that has been discontinued. You should upgrade, and read the current manual page.
NAME
i.biomass - Computes biomass growth, precursor of crop yield calculation.
KEYWORDS
imagery,
biomass,
FPAR,
yield
SYNOPSIS
i.biomass
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]
Flags:
- --overwrite
- Allow output files to overwrite existing files
- --help
- Print usage summary
- --verbose
- Verbose module output
- --quiet
- Quiet module output
- --ui
- Force launching GUI dialog
Parameters:
- 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.
i.biomass 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.
i.eb.evapfr,
r.latlong,
r.sun
[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
SOURCE CODE
Available at:
i.biomass source code
(history)
Latest change: Monday Nov 18 20:15:32 2019 in commit: 1a1d107e4f6e1b846f9841c2c6fabf015c5f720d
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© 2003-2023
GRASS Development Team,
GRASS GIS 7.8.9dev Reference Manual