European Facility For Airborne Research

European Facility For Airborne Research Jan. 17, 2019, 04:49

Software tools - HSDAR

Data Processing / Hyperspectral Imagery

Hyperspectral data analysis in R image


Hyperspectral data analysis in R
Publisher: HSDAR development team
Producer: Other
Platform: Platform Indenpendant
Software / Code: R
Requirements: R
Software version: 2016
Status: Ready to use


  • 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.

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This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 312609

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