%% $Date: 2012-07-06 17:42:54#$
%% $Revision: 148 $
\index{SWIRLI}
\algdescgeneral{SWIRLI}
%
{ %%%%%% Algorithm name %%%%%%
biophys\_indices (SWIRLI is one index calculated within the overall program)
}
%
{ %%%%%% Algorithm summary %%%%%%
Calculation SWIR index: litter (SWIRLI)
}
%
{ %%%%%% Category %%%%%%
Biophysics - cover indices
}
%
{ %%%%%% Inputs %%%%%%
Narrow band multi- or hyperspectral imagery (ENVI standard image data) including channels close to the wavelengths of 2090nm, 2210nm and 2280nm.\bigskip
}
%
{ %%%%%% Outputs %%%%%%
Single band with SWIRLI values
}
%
{ %%%%%% Formula %%%%%%
\begin{displaymath}
SWIRLI= 3.87 * (R_{2210}-R_{2090}) -27.51 * (R_{2280} - R_{2090}) -0.20
\end{displaymath}
}
%
{ %%%%%% Author %%%%%%
DLR-DFD
}
%
{ %%%%%% References %%%%%% 
Lobell, D.B., Asner, G.P., Law, B.E., Treuhaft R.N. (2001): Subpixel canopy cover estimation of coniferous forests in Oregon using SWIR imaging spectrometry. In: Journal of geophysical research, 106, p.5151-5160
}
