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Potentials of the hyperspectral remote sensing - Aisa Eagle system and future perspectives
Lukeš, Petr ; Hanuš, Jan ; Kaplan, Věroslav ; Zemek, František
Since 2004 the Global Change Research Centre (CVGZ) operates a hyperspectral airborne imaging system AISA Eagle. A basic introduction to hyperspectral remote sensing and its potential applications in science as well as for commercial and military uses are presented, followed by a description of the system together with an overview of the key data pre-processing steps. The application of a rapidly developing technology, hyperspectral remote sensing, is presented within the field of quantitative remote sensing of plant health status. Finally, the future development of hyperspectral remote sensing at the CVGZ is outlined.
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Individual tree crowns delineation using local maxima approach and seeded region growing technique
Novotný, Jan ; Hanuš, Jan ; Lukeš, Petr ; Kaplan, Věroslav
Remote sensing applications in forestry can profit from a rapid development of optical sensors. Applied algorithms should be suited to the new properties of the data (very high resolution and wide spectral range). Segmentation of the image into objects is an important task in forestry applications of optical remote sensing. Segmentation of individual tree crowns involves two parts — detection and delineation phase. Local maxima approach and seeded region growing technique are presented as the key concepts. Furthermore improvements, namely histogram equalization and Voronoi diagram, are incorporated. Two datasets were processed and results of the segmentation are presented. Hyperspectral data with spatial resolution of 0.8m were found as a suitable for segmentation process with 84% and 78% accuracy of detection phase and 64% and 52% accuracy in delineation phase respectively. Finally discussion of recommended settings in the algorithm is presented.
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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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