DOBROVOLNÝ, Petr. Change detection of uranium ore mining areas using remote sensing and image processing techniques. Online. Drbohlav, D., Kalvoda, J., Voženílek, V., eds. In Czech Geography at the Dawn of the Millenium. Olomouc: Czech Geographic Society, 2004. s. 351-362, 428 s. ISBN 80-244-0858-9. [citováno 2024-04-23]
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Základní údaje
Originální název Change detection of uranium ore mining areas using remote sensing and image processing techniques.
Název anglicky Change detection of uranium ore mining areas using remote sensing and image processing techniques.
Autoři DOBROVOLNÝ, Petr
Drbohlav, D., Kalvoda, J., Voženílek, V., eds.
Vydání Olomouc, Czech Geography at the Dawn of the Millenium. od s. 351-362, 428 s. 2004.
Nakladatel Czech Geographic Society
Další údaje
Typ výsledku Kapitola resp. kapitoly v odborné knize
Utajení není předmětem státního či obchodního tajemství
Organizační jednotka Přírodovědecká fakulta
ISBN 80-244-0858-9
Klíčová slova anglicky remote sensing; change detection; uranium ore miming; LANDSAT imagery; Czech Republic
Štítky change detection, Czech Republic, LANDSAT imagery, Remote sensing, uranium ore miming
Změnil Změnil: prof. RNDr. Petr Dobrovolný, CSc., učo 680. Změněno: 3. 1. 2005 09:25.
Anotace
In this paper, we examine the impact of uranium-ore mining on the territory of the Bohemian-Moravian Highland, Czech Republic. Our input data sets include aerial photos, satellite imagery, and geophysical data. By processing aerial photos, we were able to compile orthophotos. From these photos, we interpreted land-use and land-cover maps. We also classified individual types of change in the territory and identified potential risks for the spread of contaminated substances. Using LANDSAT TM imagery and PC methods, we present a procedure by which it is possible to enhance the specific spectral response of contaminated mining areas. This procedure outlines areas with the highest content of 238U for three time slices (1986, 1994 and 2001) in satellite imagery. These areas correlate highly with results obtained from aerial gamma-ray spectrometry. In our conclusions, we stress the benefits of using remote-sensory data in the future monitoring of the study area.
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