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Merging the Minnaert-k parameter with spectral unmixing to map forest heterogeneity with CHRIS/PROBA data

By J Verrelst, J G P W Clevers and Michael E Schaepman

Abstract

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

Topics: Institute of Geography, 910 Geography & travel, Alpine coniferous forest, CHRIS data, CHRIS subpixel scale, Compact High Resolution Imaging Spectrometer, Minnaert-k parameter, PROBA data, Project for Onboard Autonomy spacecraft, Rahman-Pinty-Verstraete model, angular domain, canopy cover map, forest cover heterogeneity map, high spatial resolution, linear spectral unmixing, nadir image, near-infrared region, nonvegetated targets, pixelwise inversion, reflectance anisotropy, single-source optical data set, solar spectrum, spectral domain, surface heterogeneity, viewing angles, visible region, geophysical image processing, vegetation mapping,
Publisher: IEEE
Year: 2010
DOI identifier: 10.1109/TGRS.2010.2047400
OAI identifier: oai:www.zora.uzh.ch:38613
Provided by: ZORA

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