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Laser spectroscopy with high spatial resolution
Surýnek, Miloslav ; Němec, Petr (advisor) ; Preclíková, Jana (referee)
Spintronics is a fast developing branch of electronics, which uses for data storage and processing not only the electric charge of electrons, but also their spin. However, for a research of materials which can be used for a construction of spintronic devices it is necessary to use experimental methods that are able to achieve both high temporal and spatial resolutions. In Laboratory of Optospintronics at the Department of Chemical Physics and Optics there is currently developed a method based on Kerr microscope, which is expected to achieve a high spatial resolution and in a future also a high temporal resolution. The goal of this thesis is to characterize some parts of the experimental setup: Namely, a characterization of the laser speckle reducer LSR-3005-24D made by Optotune and a characterization of the piezo-driven mirror mount CONEX-AG-M100D made by Newport. Powered by TCPDF (www.tcpdf.org)
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Potential of the sentinel-2 red edge spectral bands for estimation of eco-physiological plant parameters
Malenovský, Zbyněk ; Homolová, Lucie ; Janoutová, Růžena ; Landier, L. ; Gastelluetchegorry, J-P. ; Bertholt, B. ; Huck, A.
In this study we investigated importance of the spaceborne instrument Sentinel-2 red edge spectral bands and reconstructed red edge position (REP) for retrieval of the three eco-physiological plant parameters, leaf and canopy chlorophyll content and leaf area index (LAI), in case of maize agricultural fields and beech and spruce forest stands. Sentinel-2 spectral bands and REP of the investigated vegetation canopies were simulated in the Discrete Anisotropic Radiative Transfer (DART) model. Their potential for estimation of the plant parameters was assessed through training support vector regressions (SVR) and examining their P-vector matrices indicatingsignificance of each input. The trained SVR were then applied on Sentinel-2 simulated images and the acquired\nestimates were cross-compared with results from high spatial resolution airborne retrievals. Results showed that contribution of REP was significant for canopy chlorophyll content, but less significant for leaf chlorophyll content and insignificant for leaf area index estimations. However, the red edge spectral bands contributed strongly to the retrievals of all parameters, especially canopy and leaf chlorophyll content. Application of SVR on Sentinel-2 simulated images demonstrated, in general, an overestimation of leaf chlorophyll content and an underestimation of LAI when compared to the reciprocal airborne estimates. In the follow-up investigation, we will apply the trained SVR algorithms on real Sentinel-2 multispectral images acquired during vegetation seasons 2015 and 2016.
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