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Application of imaging spectroscopy in monitoring of vegetation stress caused by soil pollutants in the Sokolov lignite basin
Mišurec, Jan ; Kupková, Lucie (advisor) ; Pavelka, Karel (referee) ; Homolová, Lucie (referee)
Forests can be considered as one of the most important Earth's ecosystems not only because of oxygen production and carbon sequestration via photosynthesis, but also as a source of many natural resources (such as wood) and as a habitat of many specific plants and animals. Monitoring of forest health status is thus crucial activity for keeping all production and ecosystem functions of forests. The main aim of the thesis is development of an alternative approach for forest health status based on airborne hyperspectral data (HyMap) analysis supported by field sampling. The proposed approach tries to use similar vegetation parameters which are used in case of the current methods of forest health status assessment based on field inspections. It is believed that importance of such new methods will significantly increase in the time when the planned satellite hyperspectral missions (e.g. EnMap) will move into operational phase. The developed forest health monitoring approach is practically demonstrated on mature Norway spruce (Picea abies L. Karst) forests of the Sokolov lignite basin which were affected by long-term coal mining and heavy industry and therefore high variability of forest health status was assumed in this case. Two leaf level radiative transfer models were used for simulating spectral...
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Application of imaging spectroscopy in monitoring of vegetation stress caused by soil pollutants in the Sokolov lignite basin
Mišurec, Jan ; Kupková, Lucie (advisor) ; Pavelka, Karel (referee) ; Homolová, Lucie (referee)
Forests can be considered as one of the most important Earth's ecosystems not only because of oxygen production and carbon sequestration via photosynthesis, but also as a source of many natural resources (such as wood) and as a habitat of many specific plants and animals. Monitoring of forest health status is thus crucial activity for keeping all production and ecosystem functions of forests. The main aim of the thesis is development of an alternative approach for forest health status based on airborne hyperspectral data (HyMap) analysis supported by field sampling. The proposed approach tries to use similar vegetation parameters which are used in case of the current methods of forest health status assessment based on field inspections. It is believed that importance of such new methods will significantly increase in the time when the planned satellite hyperspectral missions (e.g. EnMap) will move into operational phase. The developed forest health monitoring approach is practically demonstrated on mature Norway spruce (Picea abies L. Karst) forests of the Sokolov lignite basin which were affected by long-term coal mining and heavy industry and therefore high variability of forest health status was assumed in this case. Two leaf level radiative transfer models were used for simulating spectral...
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Polkovice-2014
Hanuš, Jan
Summary Research Report Polkovice-2014 describes acquisition, pre-processing and evaluation of airborne hyperspectral data acquired within campaign 9.6. a 8.9.2014. Report evaluates data quality and its usability for given purpose
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Vír-2014
Hanuš, Jan
Summary Research Report Vír-2014 describes acquisition, pre-processing and evaluation of airborne hyperspectral data acquired within campaign 8.9.2013. Report evaluates data quality and its usability for given purpose.
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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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