作者: Asa Gholizadeh , Jan Mišurec , Veronika Kopačková , Christian Mielke , Christian Rogass
DOI: 10.3390/F7100226
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摘要: Systematic quantification and monitoring of forest biophysical biochemical variables is required to assess the response ecosystems climate change gain a deeper understanding carbon cycle. Red-Edge Position (REP) hyperspectrally detectable parameter, which sensitive Chlorophyll (Chl) content. In current study, REP was modelled for Norway spruce Forest canopy Reflectance Transmittance (FRT) using Radiative Transfer Modelling (RTM) (resampled HyMap Sentinel-2 spectral resolution) as well calculated from real simulated image data. Different extraction methods (PF, LE, 4PLI its optimized versions were assessed. The lowest differences in values image-extracted spectra theoretical RTM simulations found method including (4PLIH 4PLIS). Despite simplicity, technique demonstrated potential usefulness estimating chlorophyll (Chl × LAI) content both airborne hyperspectral (HyMap) data space-borne