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The spectral within- and between-class variability of reed beds and reference species was evaluated in this study in order to determine the possibilities to discriminate reed beds from other green vegetation using airborne hyperspectral data. Five reed bed and five reference sites representing other greenish vegetation were chosen for this study, 15 sample plots at each site. The differences in within-class...
This method presented in this paper was tested using CASI&SASI data collected from a site at the Huailai County, Hebei Province, China. Various methods for retrieving AOT and CWV specific to this region were assessed. Results show that retrieval of AOT from the remote sensing data required establishing empirical relationships between 465.6nm, 659nm and 2105nm augmented by ground-based reflectance...
Sparse hyperspectral unmixing is a widely used technique in remote sensing data characterization. It aims at inferring, from a large spectral library, the pure spectral signatures (endmembers) present in each pixel of a hyperspectral image, jointly with their corresponding abundances. The input to sparse unmixing is represented, thus, by a hyperspectral image acquired from a platform flying at high...
Urban microclimate models can provide knowledge on the climate, however, most microclimate studies use assumptions and generalizations to define the model area. Remote sensing based data products provide an alternative allowing both the detailed spatial and thematic scale required by urban climate models. This study shows how microclimate simulations for a series of real world urban areas can be supported...
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