Geografic-Information-System/imagery/i.biomass/i.biomass.html

<h2>DESCRIPTION</h2>

<em>i.biomass</em> calculates the biomass growth for a day after [1][2]. 

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

<h2>NOTES</h2>

<em>i.biomass</em> can use the output of <em>i.eb.evapfr</em> directly
as water availability input.

<h2>TODO</h2>

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

<h2>SEE ALSO</h2>

<em>
<a href="i.eb.evapfr.html">i.eb.evapfr</a>,
<a href="r.latlong.html">r.latlong</a>,
<a href="r.sun.html">r.sun</a>
</em>

<h2>REFERENCES</h2>

<p>[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. (<a href="http://edepot.wur.nl/206553">PDF</a>)

<p>[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.


<h2>AUTHOR</h2>

Yann Chemin, Bec de Mortagne, France

<p><i>Last changed: $Date$</i>