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.

Project Activity

See All Activity >

License

Creative Commons Attribution License

Follow Hyperspectral data analysis in R

Hyperspectral data analysis in R Web Site

Other Useful Business Software
Migrate to innovate with Red Hat Enterprise Linux on Azure Icon
Migrate to innovate with Red Hat Enterprise Linux on Azure

Streamline your IT modernization journey with a holistic environment running Red Hat Enterprise Linux on Azure.

With Red Hat Enterprise Linux on Azure, businesses can confidently modernize their IT environment, knowing they don’t have to compromise on security, scalability, reliability, and ease of management. Securely accelerate innovation and unlock a competitive edge with enterprise-grade modern cloud infrastructure.
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Hyperspectral data analysis in R!