Sebastian Preidl

Sebastian Preidl
Helmholtz-Zentrum für Umweltforschung | UFZ · Department of Computational Landscape Ecology

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5
Publications
734
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70
Citations

Publications

Publications (5)
Article
Overcoming the obstacle of frequent cloud coverage in optical remote sensing data is essential for monitoring dynamic land surface processes from space. APiC, a novel adaptable pixel-based compositing and classification approach, is especially designed to use high resolution spatio-temporal space-borne data. Here, pixel-based compositing is used se...
Article
Full-text available
In numerous studies, spatial and spectral aggregations of pixel information using average values from imaging spectrometer data are suggested to derive spectral indices and the subsequent vegetation parameters that are derived from these. Currently, there are very few empirical studies that use hyperspectral data, to support the hypothesis for deri...
Conference Paper
This study compares the performance of radiative transfer model inversion techniques to estimate leaf chlorophyll content (LCC) from summer barley based on hyperspectral data. The PROSAIL model was used to simulate vegetation reflectances. Model performance was tested against 168 ASD measurements taken under controlled conditions in an experimental...

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