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Physically-based retrievals of Norway spruce canopy variables from very high spatial resolution hyperspectral data


Malenovský, Zbyněk; Homolová, Lucie; Cudlín, Pavel; Zurita-Milla, Raúl; Schaepman, Michael E; Clevers, J G P W; Martin, Emmanuel; Gastellu-Etchegorry, Jean-Philippe (2007). Physically-based retrievals of Norway spruce canopy variables from very high spatial resolution hyperspectral data. In: Geoscience and Remote Sensing Symposium (IGARSS), Barcelona (E), 23 July 2007 - 28 July 2007, 4057-4060.

Abstract

This study was conducted to answer two research questions: (1) what is the spatial variability of the leaf optical properties between 400–1600 nm (hemispherical-directional reflectance, transmittance, absorption) within young Norway spruce crowns, and (2) how to design a suitable physically-based approach retrieving the total chlorophyll content of a complex coniferous canopy from very high spatial resolution (0.4 m) hyperspectral data? It was proved that sun exposed needles of current age-class statistically differ (α-level = 0.01) from rest of the needles in reflectance between 510-760 nm. Last four age- classes of sun exposed needles were also found to be significantly different from almost all age-classes of sun shaded needles in transmittance from 760-1350 nm. An operational estimation of chlorophyll a+b content (Cab) from an airborne AISA Eagle hyperspectral image was proposed by means of a PROSPECT- DART inversion employing an artificial neural network (ANN). A spatial pattern of estimated Cab was successfully validated against the Cab map produced by a vegetation index ANCB650-720. Coefficients of determination (R²) between ground measured and retrieved Cab were 0.81 and 0.83, respectively, with root mean square errors (RMSE) of 2.72 μg cm⁻² for ANN and 3.27 μg cm⁻² for ANCB650-720.

Abstract

This study was conducted to answer two research questions: (1) what is the spatial variability of the leaf optical properties between 400–1600 nm (hemispherical-directional reflectance, transmittance, absorption) within young Norway spruce crowns, and (2) how to design a suitable physically-based approach retrieving the total chlorophyll content of a complex coniferous canopy from very high spatial resolution (0.4 m) hyperspectral data? It was proved that sun exposed needles of current age-class statistically differ (α-level = 0.01) from rest of the needles in reflectance between 510-760 nm. Last four age- classes of sun exposed needles were also found to be significantly different from almost all age-classes of sun shaded needles in transmittance from 760-1350 nm. An operational estimation of chlorophyll a+b content (Cab) from an airborne AISA Eagle hyperspectral image was proposed by means of a PROSPECT- DART inversion employing an artificial neural network (ANN). A spatial pattern of estimated Cab was successfully validated against the Cab map produced by a vegetation index ANCB650-720. Coefficients of determination (R²) between ground measured and retrieved Cab were 0.81 and 0.83, respectively, with root mean square errors (RMSE) of 2.72 μg cm⁻² for ANN and 3.27 μg cm⁻² for ANCB650-720.

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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 July 2007
Deposited On:14 May 2013 07:43
Last Modified:05 Aug 2017 12:09
Publisher:IEEE Xplore
ISBN:978-1-4244-1211-2
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/IGARSS.2007.4423740
Official URL:http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4423740
Related URLs:http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4423740 (Publisher)

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