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The dependence of polarimetric decomposition parameters on biophysical forest parameters, frequency and methodology


Zuberbühler, L; Meier, E (2007). The dependence of polarimetric decomposition parameters on biophysical forest parameters, frequency and methodology. In: IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain, 23 July 2007 - 28 July 2007, 4148-4151.

Abstract

The increasing availability of fully polarimetric SAR
data provides a large potential for the assessment of biophysical forest parameters. Aiming at an inversion of polarimetric parameters into forest parameters, this study shows the sensitivity of polarimetric decomposition theorems (Pauli- and H-/ decompositions) to biophysical forest parameters, especially forest density. Effects of non-biophysical parameters on the estimation of decomposition parameters are also shown. The investigations
were carried out on fully polarimetric data at L-band (1.3 GHz) and P-band (350 MHz) acquired in 2003 in a preAlpine region in Switzerland with the German E-SAR (Experimental SAR) platform.

Abstract

The increasing availability of fully polarimetric SAR
data provides a large potential for the assessment of biophysical forest parameters. Aiming at an inversion of polarimetric parameters into forest parameters, this study shows the sensitivity of polarimetric decomposition theorems (Pauli- and H-/ decompositions) to biophysical forest parameters, especially forest density. Effects of non-biophysical parameters on the estimation of decomposition parameters are also shown. The investigations
were carried out on fully polarimetric data at L-band (1.3 GHz) and P-band (350 MHz) acquired in 2003 in a preAlpine region in Switzerland with the German E-SAR (Experimental SAR) platform.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Uncontrolled Keywords:941
Language:English
Event End Date:28 July 2007
Deposited On:04 May 2011 13:29
Last Modified:12 Aug 2017 10:13
Series Name:IEEE International Geoscience and Remote Sensing Symposium, 2007
ISBN:978-1-4244-1211-2
Additional Information:In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). The theme of this years symposium was “Sensing and Understanding Our Planet". © 2007 IEEE
Publisher DOI:https://doi.org/10.1109/IGARSS.2007.4423763
Related URLs:http://cerser.ecsu.edu/07events/070723igarss/igarss07.html

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