DOBROVOLNÝ, Petr. Change detection of uranium ore mining areas using remote sensing and image processing techniques. Drbohlav, D., Kalvoda, J., Voženílek, V., eds. In Czech Geography at the Dawn of the Millenium. Olomouc: Czech Geographic Society, 2004, p. 351-362, 428 pp. ISBN 80-244-0858-9.
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Basic information
Original name Change detection of uranium ore mining areas using remote sensing and image processing techniques.
Name (in English) Change detection of uranium ore mining areas using remote sensing and image processing techniques.
Authors DOBROVOLNÝ, Petr.
Drbohlav, D., Kalvoda, J., Voženílek, V., eds.
Edition Olomouc, Czech Geography at the Dawn of the Millenium. p. 351-362, 428 pp. 2004.
Publisher Czech Geographic Society
Other information
Type of outcome Chapter(s) of a specialized book
Confidentiality degree is not subject to a state or trade secret
Organization unit Faculty of Science
ISBN 80-244-0858-9
Keywords in English remote sensing; change detection; uranium ore miming; LANDSAT imagery; Czech Republic
Tags change detection, Czech Republic, LANDSAT imagery, Remote sensing, uranium ore miming
Changed by Changed by: prof. RNDr. Petr Dobrovolný, CSc., učo 680. Changed: 3/1/2005 09:25.
Abstract
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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