lm.nsr

It is a normalization of SR by doing NSR = (1-SR)/(1+SR), with the same two spectral bands.

Provides easy-to-use tools for data analysis and visualization for hyperspectral remote sensing (also known as imaging spectroscopy), with
a particular focus on vegetation hyperspectral data analysis. It consists of a set of functions, ranging from the organization of hyperspectral data
in the proper data structure for spectral feature selection, calculation of vegetation index, multivariate analysis, as well as to the visualization
of spectra and results of analysis in the 'ggplot2' style.

Kang Yu

visa

Vegetation Imaging Spectroscopy Analyzer

nsr function

<dl><dt>s</dt>
<dd>Spectral data in the format of visa's Spectra object, spectra.dataframe or spectra.matrix.</dd>
<dt>b1</dt>
<dd>A integer number which defines the wavelength of the 1st spectral band.</dd>
<dt>b2</dt>
<dd>A integer number which defines the wavelength of the 2nd spectral band.</dd>
<dt>y</dt>
<dd>A numeric variable to correlate with SR</dd></dl>

Arguments

Calculate Normalized Simple Ratio (NSR) index. — nsr

<dl>

<dt>s</dt>
<dd>Spectral data in the format of visa's Spectra object, spectra.dataframe or spectra.matrix.</dd>


<dt>b1</dt>
<dd>A integer number which defines the wavelength of the 1st spectral band.</dd>


<dt>b2</dt>
<dd>A integer number which defines the wavelength of the 2nd spectral band.</dd>


<dt>y</dt>
<dd>A numeric variable to correlate with SR</dd>

</dl>

nsr: Calculate Normalized Simple Ratio (NSR) index.

Description

Usage

Value

Arguments

Details

Examples