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Fusing Minnaert-k parameter with spectral unmixing for forest heterogeneity mapping using CHRIS-PROBA data


Verrelst, J; Schaepman, M E; Clevers, J G P W (2009). Fusing Minnaert-k parameter with spectral unmixing for forest heterogeneity mapping using CHRIS-PROBA data. In: First Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2009), Grenoble, FR, 26 August 2009 - 28 August 2009.

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.

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:28 August 2009
Deposited On:19 Mar 2010 12:18
Last Modified:07 Dec 2017 00:46
ISBN:978-1-4244-4686-5
Additional Information:Alternativer Kongressname: First IEEE GRSS Workshop on Hyperspectral Image and Signal Processing (WHISPERS 2009). - © 2009 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:https://doi.org/10.1109/WHISPERS.2009.5289093
Official URL:http://www.ieee-whispers.com/2009/

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