This is the Windows app named Hyperspectral data analysis in R whose latest release can be downloaded as hsdar_0.4.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Hyperspectral data analysis in R
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DESCRIPTION
The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.
Features
- Data handling: hsdar is designed to handle even large sets of spectra. Spectra are stored in a speclib containing, amongst other details, the wavelength and reflectance for each spectrum. hsdar further contains functions for plotting spectral data (e.g. plot.speclib).
- Data manipulation: A variety of established methods for data manipulation such as filter func- tions (smooth.speclib), resampling of bands to various satellite sensors (spectral.resampling), continuum removal (transform_speclib), calculations of derivations (derivative.speclib) and extraction of absorption features (cut.specfeat) are implemented.
- Data analysis: Supported methods to analyse vegetation spectra are the calculation of red edge parameters (rededge), vegetation indices (vegindex) as well as ndvi-like narrow band indices (nri). hsdar further enables to perform spectral unmixing of spectra (unmix) by use of endmember spectra.
- Data simulation: hsdar has implemented the models PROSAIL 5B (PROSAIL, Jacquemoud et al. 2009)and PROSPECT 5 (PROSPECT, Jacquemoud and Baret 1990) to simulate spectra of canopy and plants.
Programming Language
Fortran, C, S/R
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/hsdar/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
