Abstract
In this study we combine the spectral domain with the directional domain of hyperspectral CHRIS (Compact High Resolution Imaging Spectrometer) data to map 3D heterogeneity of an Alpine coniferous forest during wintertime. CHRIS mounted onboard the PROBA (Project for On-board Autonomy) spacecraft is capable of sampling terrestrial reflectance anisotropy over the visible/near-infrared region of the electromagnetic spectrum with high spatial resolution. In the spectral domain, linear unmixing of the nadir image led to a forest cover density map. In the directional domain, the Rahman-Pinty-Verstraete (RPV) model led to Minnaert-k parameter retrieval that provided information of surface heterogeneity at subpixel scale. Due to the bright snow background Minnaert-k yielded the best relationship with forest cover density at the 773 nm spectral band of CHRIS. Fusing both independently derived maps resulted in a forest cover map that includes information of 3D canopy heterogeneity at the subpixel scale.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
