Header

UZH-Logo

Maintenance Infos

Spectrodirectional Minnaert-k retrieval using CHRIS/PROBA data - Zurich Open Repository and Archive


Verrelst, J; Schaepman, M E; Koetz, B; Clevers, J G P W (2009). Spectrodirectional Minnaert-k retrieval using CHRIS/PROBA data. In: 6th EARSeL Imaging Spectroscopy SIG workshop , Tel Aviv, Israel, 16 March 2009 - 18 March 2009.

Abstract

This work uncovers the spectral trajectory of the unique structurally-related information content that is embedded in the angular domain of multi-angular remote sensing data. CHRIS (Compact High Resolution Imaging Spectrometer) 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. The spectral anisotropic behavior of an Alpine coniferous forest during wintertime in relation to forest cover density was investigated using the Minnaert-k parameter of the Rahman-Pinty-Verstraete (RPV) model. Although earlier studies have demonstrated that it is possible to use Minnaert-k as a proxy for characterizing surface heterogeneity at subpixel scale, its spectral dependency has not yet been fully assessed. Minnaert-k parameter retrievals over the full spectral domain of CHRIS data revealed that a turnover from bell-shaped to bowl-shaped
anisotropic reflectance patterns occurs when entering the red edge. Specifically, analysis of the underlying dynamics revealed that forest cover density controls the spectral location where this turnover takes place. Due to the bright snow background situation the 773 nm spectral band of CHRIS yielded Minnaert-k values that were best related to forest cover density. In this region, medium forest cover densities (40-70%) led to bell-shaped anisotropy patterns, while either sparse canopy covers or dense canopy covers led to bowl-shaped reflectance anisotropy patterns.

Abstract

This work uncovers the spectral trajectory of the unique structurally-related information content that is embedded in the angular domain of multi-angular remote sensing data. CHRIS (Compact High Resolution Imaging Spectrometer) 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. The spectral anisotropic behavior of an Alpine coniferous forest during wintertime in relation to forest cover density was investigated using the Minnaert-k parameter of the Rahman-Pinty-Verstraete (RPV) model. Although earlier studies have demonstrated that it is possible to use Minnaert-k as a proxy for characterizing surface heterogeneity at subpixel scale, its spectral dependency has not yet been fully assessed. Minnaert-k parameter retrievals over the full spectral domain of CHRIS data revealed that a turnover from bell-shaped to bowl-shaped
anisotropic reflectance patterns occurs when entering the red edge. Specifically, analysis of the underlying dynamics revealed that forest cover density controls the spectral location where this turnover takes place. Due to the bright snow background situation the 773 nm spectral band of CHRIS yielded Minnaert-k values that were best related to forest cover density. In this region, medium forest cover densities (40-70%) led to bell-shaped anisotropy patterns, while either sparse canopy covers or dense canopy covers led to bowl-shaped reflectance anisotropy patterns.

Citations

Downloads

68 downloads since deposited on 16 Feb 2010
44 downloads since 12 months
Detailed statistics

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:18 March 2009
Deposited On:16 Feb 2010 10:55
Last Modified:11 Aug 2017 14:54
Additional Information:Proceedings of the 6th EARSeL SIG IS workshop IMAGING SPECTROSCOPY: Innovative tool for scientific and commercial environmental applications, Tel Aviv, Israel, 16-18 March 2009
Official URL:http://www.earsel6th.tau.ac.il/~earsel6/CD/

Download

Preview Icon on Download
Preview
Content: Accepted Version
Filetype: PDF
Size: 2MB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations