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Forests 2016, 7(10), 226; doi:10.3390/f7100226

Assessment of Red-Edge Position Extraction Techniques: A Case Study for Norway Spruce Forests Using HyMap and Simulated Sentinel-2 Data

1
Czech Geological Survey, Klárov 3, Prague 1 11821, Czech Republic
2
Helmholtz Center Potsdam, GFZ German Research Center for Geoscience, Potsdam 14473, Germany
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Phillip G. Comeau and Timothy A. Martin
Received: 18 July 2016 / Revised: 22 September 2016 / Accepted: 26 September 2016 / Published: 9 October 2016
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Abstract

Systematic quantification and monitoring of forest biophysical and biochemical variables is required to assess the response of ecosystems to climate change and gain a deeper understanding of the carbon cycle. Red-Edge Position (REP) is a hyperspectrally detectable parameter, which is sensitive to Chlorophyll (Chl) content. In the current study, REP was modelled for Norway spruce Forest canopy Reflectance and Transmittance (FRT) using Radiative Transfer Modelling (RTM) (resampled to HyMap and Sentinel-2 spectral resolution) as well as calculated from the real HyMap and simulated Sentinel-2 image data. Different REP extraction methods (PF, LE, 4PLI and its optimized versions for HyMap and Sentinel-2 spectral resolution) were assessed. The lowest differences in REP values calculated from image-extracted spectra and from the theoretical RTM simulations were found for the 4PLI method including its HyMap and Sentinel-2 optimized versions (4PLIH and 4PLIS). Despite its simplicity, the 4PLI REP extraction technique demonstrated its potential usefulness for estimating canopy chlorophyll (Chl × LAI) content using both airborne hyperspectral (HyMap) data as well as space-borne Sentinel-2 image data. View Full-Text
Keywords: REP extraction techniques; HyMap; Sentinel-2; Norway spruce; forest modelling; chlorophyll REP extraction techniques; HyMap; Sentinel-2; Norway spruce; forest modelling; chlorophyll
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Gholizadeh, A.; Mišurec, J.; Kopačková, V.; Mielke, C.; Rogass, C. Assessment of Red-Edge Position Extraction Techniques: A Case Study for Norway Spruce Forests Using HyMap and Simulated Sentinel-2 Data. Forests 2016, 7, 226.

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