Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy |
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| Authors: | Martin Schlerf Clement Atzberger Joachim Hill Henning Buddenbaum Willy Werner Gebhard Schüler |
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| Institution: | 1. International Institute for Geo-Information Science and Earth Observation, P.O. Box 6, 7500 AA Enschede, The Netherlands;2. Joint Research Center (JRC) of the European Commission, Via Enrico Fermi 2749, 21027 Ispra, Italy;3. University of Trier, Remote Sensing Department, Behringstraße, D-54286 Trier, Germany;4. University of Trier, Department of Geobotany, Behringstraße, D-54286 Trier, Germany;5. Forest Research Institute Rheinland-Pfalz, Schloss, D-67705 Trippstadt, Germany |
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| Abstract: | The research evaluated the information content of spectral reflectance (laboratory and airborne data) for the estimation of needle chlorophyll (CAB) and nitrogen (CN) concentration in Norway spruce (Picea abies L. Karst.) needles. To identify reliable predictive models different types of spectral transformations were systematically compared regarding the accuracy of prediction. The results of the cross-validated analysis showed that CAB can be well estimated from laboratory and canopy reflectance data. The best predictive model to estimate CAB was achieved from laboratory spectra using continuum-removal transformed data (R2cv = 0.83 and a relative RMSEcv of 8.1%, n = 78) and from hyperspectral HyMap data using band-depth normalised spectra (R2cv = 0.90, relative RMSEcv = 2.8%, n = 13). Concerning the nitrogen concentration, we observed somewhat weaker relations, with however still acceptable accuracies (at canopy level: R2cv = 0.57, relative RMSEcv = 4.6%). The wavebands selected in the regression models to estimate CAB were typically located in the red edge region and near the green reflectance peak. For CN, additional wavebands related to a known protein absorption feature at 2350 nm were selected. The portion of selected wavebands attributable to known absorption features strongly depends on the type of spectral transformation applied. A method called “water removal” (WR) produced for canopy spectra the largest percentage of wavebands directly or indirectly related to known absorption features. The derived chlorophyll and nitrogen maps may support the detection and the monitoring of environmental stressors and are also important inputs to many bio-geochemical process models. |
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| Keywords: | Imaging spectrometry Hyperspectral Spectroscopy Spectral transformation Chlorophyll Nitrogen Norway spruce Forest |
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