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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-38613

Verrelst, J; Clevers, J G P W; Schaepman, M E (2010). Merging the Minnaert-k parameter with spectral unmixing to map forest heterogeneity with CHRIS/PROBA data. IEEE Transactions on Geoscience and Remote Sensing, 48(11):4014-4022.

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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.

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
DDC:910 Geography & travel
Uncontrolled Keywords: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;
Language:English
Date:November 2010
Deposited On:29 Dec 2010 09:42
Last Modified:27 Nov 2013 20:09
Publisher:IEEE
ISSN:0196-2892
Additional Information:© 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Publisher DOI:10.1109/TGRS.2010.2047400
Official URL:http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5466035&tag=1
Citations:Web of Science®. Times Cited: 15
Google Scholar™
Scopus®. Citation Count: 15

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