Merging the Minnaert- k Parameter With Spectral Unmixing to Map Forest Heterogeneity With CHRIS/PROBA Data

The Compact High Resolution Imaging Spectrometer (CHRIS) mounted onboard the Project for Onboard Autonomy (PROBA) spacecraft is capable of sampling reflected radiation at five viewing angles over the visible and near-infrared regions of the solar spectrum with high spatial resolution. We combined th...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2010-11, Vol.48 (11), p.4014-4022
Main Authors: Verrelst, Jochem, Clevers, Jan G P W, Schaepman, Michael E
Format: Article
Language:English
Subjects:
Anisotropic magnetoresistance
Canopies
canopy
classification
Compact High Resolution Imaging Spectrometer (CHRIS)
cover
forest heterogeneity mapping
Forests
Heterogeneity
High-resolution imaging
hyperspectral data
Image sampling
imaging spectroscopy
land
Mathematical models
Merging
misr
multi-angular
Onboard
Optical surface waves
reflectance
reflectance anisotropy
Reflectivity
rpv model
Space vehicles
Spatial resolution
Spectra
Spectral lines
Spectroscopy
surface
Surface waves
vegetation indexes
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Summary:The Compact High Resolution Imaging Spectrometer (CHRIS) mounted onboard the Project for Onboard Autonomy (PROBA) spacecraft is capable of sampling reflected radiation at five viewing angles over the visible and near-infrared regions of the solar spectrum with high spatial resolution. We combined the spectral domain with the angular domain of CHRIS data in order to map the surface heterogeneity of an Alpine coniferous forest during winter. In the spectral domain, linear spectral unmixing of the nadir image resulted in a canopy cover map. In the angular domain, pixelwise inversion of the Rahman-Pinty-Verstraete (RPV) model at a single wavelength at the red edge (722 nm) yielded a map of the Minnaert-k parameter that provided information on surface heterogeneity at a subpixel scale. However, the interpretation of the Minnaert-k parameter is not always straightforward because fully vegetated targets typically produce the same type of reflectance anisotropy as non-vegetated targets. Merging both maps resulted in a forest cover heterogeneity map, which contains more detailed information on canopy heterogeneity at the CHRIS subpixel scale than is possible to realize from a single-source optical data set.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2010.2047400