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Mapping LAI and chlorophyll content from at-sensor APEX data using a Bayesian optimisation of a coupled canopy-atmosphere model


Laurent, Valérie C E; Verhoef, W; Schaepman, Michael E; Damm, Alexander; Clevers, J G P W (2012). Mapping LAI and chlorophyll content from at-sensor APEX data using a Bayesian optimisation of a coupled canopy-atmosphere model. In: Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, Munich, Germany, 22 July 2012 - 27 July 2012, 5685-5688.

Abstract

This contribution proposes a methodological approach based on a coupled canopy-atmosphere radiative transfer model and a Bayesian optimization algorithm, which allows the use of a priori data in the retrieval. This approach was used to estimate LAI and leaf chlorophyll content (Cab) in the agricultural test site Oensingen, Switzerland, from at-sensor radiance data of the new airborne APEX imaging spectrometer. The Bayesian optimization allowed having up to 7 free variables in the optimization. The obtained maps of estimated LAI and Cab values at the field level show a good agreement with our expectations in terms of the values themselves, but also their variation range and spread.

Abstract

This contribution proposes a methodological approach based on a coupled canopy-atmosphere radiative transfer model and a Bayesian optimization algorithm, which allows the use of a priori data in the retrieval. This approach was used to estimate LAI and leaf chlorophyll content (Cab) in the agricultural test site Oensingen, Switzerland, from at-sensor radiance data of the new airborne APEX imaging spectrometer. The Bayesian optimization allowed having up to 7 free variables in the optimization. The obtained maps of estimated LAI and Cab values at the field level show a good agreement with our expectations in terms of the values themselves, but also their variation range and spread.

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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:27 July 2012
Deposited On:05 Dec 2012 16:36
Last Modified:08 Aug 2017 04:29
Publisher:IEEE International
ISBN:978-1-4673-1160-1
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/IGARSS.2012.6352321

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