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Potentials of the VNIR airborne hyperspectral system AISA Eagle
Hanuš, Jan ; Malenovský, Zbyněk ; Homolová, Lucie ; Kaplan, Věroslav ; Cudlín, Pavel ; Lukeš, Petr
Airborne hyperspectral remote sensing (imaging spectroscopy) sensors acquire images of several (from tens to hundreds) narrow spectral bands in visible, near and short infrared wavelengths. Use of hyperspectral remote sensing (RS) data in scientific and even commercial applications is quite broad, starting from agriculture, forestry, and natural vegetation (precision farming, assessment of general plant status, biomass estimation, species composition mapping), through geology (mapping of minerals, land degradation assessment), up to limnology (water quality evaluation), and other domains. Since 2004 the Institute of Systems Biology and Ecology (ISBE) (Academy of Sciences of the Czech Republic) has been operating the VNIR airborne hyperspectral sensor AISA Eagle. The workgroup for remote sensing of vegetation at ISBE is currently capable to facilitate the complete flight/ground hyperspectral campaign including the standard image data pre-processing.
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Efekt různých měřítek a podrobností mapování na hodnocení krajiny
Prokopová, Marcela ; Burešová, Renata ; Seják, J. ; Cudlín, Pavel
The main purpose of this paper is examining the utilization of various mapping data for biotope evaluation by BVM (biotope valuation method, modified from Hessian method). The evaluation of landscape segments of different size was performed and compared while using mapping data of different scale (Corine LC and NATURA 2000 mapping). The result shows advisable combinations of map extent and mapping data for biotope evaluation in order to maximize the effectivity and leave the high information value.
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Space localization and quantification of surface runoff using LOREP model
Pechanec, V. ; Cudlín, Pavel
Developed model LOREP constitutes a tool for identification and space localization of the plots with low water retention and comparison of various scenarios of proposed measurements. A structuralized catalogue of measurement to increase water retention in the landscape is an integrated part of the model. Suggested approach of computation of territorially specified surface water runoff is based on the combination of specific functions of GIS which enables to work with fuzzy sets and hydrological equations derived from Curve Number Method and from spatially distributed unit hydrogram.
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Biotopes evaluation and assessing using Natura 2000 mapping system
Cudlín, Pavel ; Kučera, Tomáš ; Prokopová, Marcela ; Francírková, Tereza ; Burešová, Renata ; Smrž, T. ; Boucníková, Eva ; Hellebrandová, K. ; Petříček, V. ; Dejmal, I. ; Seják, J.
For creating price maps, data from NATURA 2000 mapping system are useful and they give topographically more accurate data than CORINE Land Cover. Nevertheless the total price differed very slightly, probably because of the studied area was large enough. Individual evaluation changed the total value mainly in case of natural and close to nature biotopes. The total value of the whole area was changed by only approximately 2 or 5% (according to used procedure of data transfer). It means that individual evaluation could be ignored for price map formation, in the last resort.
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Remote-sensed monitoring of norway spruce forest ecosystems
Malenovský, Z. ; Cudlín, Pavel ; Moravec, Ivo
This contribution informes about methods and preliminary results of the project following objectives:Investigate possibilities of the recognition of individual types and periods of multiple stress response behaviour and spectral properties of Norway spruce (Picea abies (L.) K a r s t.) at the shoot and crown levels through spectrometric measurements of needles, shoots and branches, supported by the foliar pigments and cellular compound laboratory analyses, and through analysis of canopies from remote-sensed hyperspectral imagery.Propose a method for estimation and interpretation of multiple stress response history and crown-status assessment of Norway spruce forest stands by the remote sensing approach, via analysis of hyperspectral images.
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