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Hyperspectral data analysis in R to run in Windows online

Free download Hyperspectral data analysis in R to run in Windows online over Linux online Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Hyperspectral data analysis in R to run in Windows online over Linux online whose latest release can be downloaded as hsdar_0.7.1.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Hyperspectral data analysis in R to run in Windows online over Linux online with OnWorks for free.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

Hyperspectral data analysis in R to run in Windows online over Linux online


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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



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.


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