Research Papers

Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status

[+] Author Affiliations
Jan Mišurec, Veronika Kopačková

Czech Geological Survey, Klárov 3, Prague 1, 118 21, Czech Republic

Charles University in Prague, Faculty of Science, Department of Applied Geoinformatics and Cartography, Albertov 6, Prague 2, 128 43, Czech Republic

Zuzana Lhotáková, Jana Albrechtová

Charles University in Prague, Faculty of Science, Department of Experimental Plant Biology, Vinicná 5, Prague 2, 128 44, Czech Republic

Jan Hanuš

The Academy of Sciences of the Czech Republic, Global Change Research Centre, Belidla 686/4a, Brno, 603 00, Czech Republic

Jörg Weyermann

University of Zurich, Remote Sensing Laboratories, Wintherthurerstrasse 190, CH-8057, Zurich, Switzerland

Petya Entcheva-Campbell

NASA Goddard Space Flight Center, Biospheric Sciences Branch, Code 614.4, building 33, Greenbelt, 20771, Maryland

J. Appl. Remote Sens. 6(1), 063545 (Jun 29, 2012). doi:10.1117/1.JRS.6.063545
History: Received November 25, 2011; Revised May 10, 2012; Accepted May 11, 2012
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Abstract.  The work is concerned with assessing the health status of trees of the Norway spruce species using airborne hyperspectral (HS) data (HyMap). The study was conducted in the Sokolov basin in the western part of the Czech Republic. First, statistics were employed to assess and validate diverse empirical models based on spectral information using the ground truth data (biochemically determined chlorophyll content). The model attaining the greatest accuracy (D718/D704RMSE=0.2055mg/g, R2=0.9370) was selected to produce a map of foliar chlorophyll concentrations (Cab). The Cab values retrieved from the HS data were tested together with other nonquantitative vegetation indicators derived from the HyMap image reflectance to create a statistical method allowing assessment of the condition of Norway spruce. As a result, we integrated the following HyMap derived parameters (Cab, REP, and SIPI) to assess the subtle changes in physiological status of the macroscopically undamaged foliage of Norway spruce within the four studied test sites. Our classification results and the previously published studies dealing with assessing the condition of Norway spruce using chlorophyll contents are in a good agreement and indicate that this method is potentially useful for general applicability after further testing and validation.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Jan Mišurec ; Veronika Kopačková ; Zuzana Lhotáková ; Jan Hanuš ; Jörg Weyermann, et al.
"Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status", J. Appl. Remote Sens. 6(1), 063545 (Jun 29, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.063545


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