Hyperspectral Data

Imaging spectroscopy, or hyperspectral imaging, is one of the most advanced optical Earth observation technologies. For over two decades, CCRS has contributed expertise to developing hyperspectral imaging hardware and software for these data sets.


Some examples of current hyperspectral research activities at CCRS include:

Spectral Reflectance Characteristics of Arctic Vegetation for Mapping Ecozones with Hyperspectral Imaging Systems (2010 - 04)

Advanced radiative transfer modelling for information extraction (2009 – 01): the Four Scale Linear Model for Anisotropic Reflectance (FLAIR) model was developed with a focus on flexibility and tractability, particularly as applied to hyperspectral applications

Contaminated Site Remediation Monitoring (2009 – 01): environmental monitoring of remediation management activities researched includes the evaluation of imaging spectrometer data for characterising environmentally contaminated sites and providing techniques to monitor their remediation.

Hyperspectral Data for Arctic Geology and Mineral Resources (2009 – 01): Hyperspectral remote sensing is providing the mineral exploration community a new tool to explore larger areas and focus on key lithological detections to reduce exploration costs and increase development.