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Assessment of canopy structure and heterogeneity from multi-angular CHRIS-PROBA data


Koetz, Benjamin; Kneubühler, Mathias; Widlowski, Jean-Luc; Morsdorf, Felix; Schaepman, Michael E; Itten, Klaus I (2005). Assessment of canopy structure and heterogeneity from multi-angular CHRIS-PROBA data. In: 9th international symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS), Beijing, China, 17 October 2005 - 19 October 2005, 76-78.

Abstract

The spaceborne ESA-mission CHRIS-PROBA (Compact High Resolution Imaging Spectrometer-Project for On-board Autonomy) provides hyperspectral and multi-angular data of selected terrestrial targets (Barnsley et al. 2004). For vegetated surfaces, the spectral information content of CHRIS data may yield the biochemical and biophysical properties of a vegetation canopy, while the directional component may deliever additional information on its canopy structure. Here, the multi-angular CHRIS observations are investigated and related to surface structure using the parametric Rahman-Pinty-Verstraete (RPV) model. RPV parameters, in particular the Minnaert function parameter k, are able to quantify the anisotropy of surface reflectance, which in turn is sensitive to the structure and heterogeneity of the observed surface. Thus to investigate the potential of multi-angular high spatial resolution data for delivering quantitative surface structure information the retrieved values of the k parameter are compared with proxies derived from detailed LIDAR observations describing the 3-D canopy structure of the target site.

Abstract

The spaceborne ESA-mission CHRIS-PROBA (Compact High Resolution Imaging Spectrometer-Project for On-board Autonomy) provides hyperspectral and multi-angular data of selected terrestrial targets (Barnsley et al. 2004). For vegetated surfaces, the spectral information content of CHRIS data may yield the biochemical and biophysical properties of a vegetation canopy, while the directional component may deliever additional information on its canopy structure. Here, the multi-angular CHRIS observations are investigated and related to surface structure using the parametric Rahman-Pinty-Verstraete (RPV) model. RPV parameters, in particular the Minnaert function parameter k, are able to quantify the anisotropy of surface reflectance, which in turn is sensitive to the structure and heterogeneity of the observed surface. Thus to investigate the potential of multi-angular high spatial resolution data for delivering quantitative surface structure information the retrieved values of the k parameter are compared with proxies derived from detailed LIDAR observations describing the 3-D canopy structure of the target site.

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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:19 October 2005
Deposited On:14 Jul 2014 07:19
Last Modified:08 Dec 2017 06:24
Publisher:ISPRS
Series Name:International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN:1682-1750
Additional Information:Proc. 9th ISPMSRS, Beijing, China, ISPRS Vol. XXXVI(7/W20), pp: 76-78, ISSN 1682-1750
Related URLs:https://earth.esa.int/pub/ESA_DOC/PROBA/

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