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Title: EVALUATION OF FOREST DISTURBANCES IN THE LOW TATRAS NATIONAL PARK USING TIME SERIES OF SATELLITE IMAGES
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EVALUATION OF FOREST DISTURBANCES IN THE LOW TATRAS NATIONAL PARK USING TIME SERIES OF SATELLITE IMAGES
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1314-2704
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English
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17
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23
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The study focusses on an evaluation of the forest changes in the Low Tatras National Park. The used methods are based on the time series of the satellite Landsat images. The impacts of disturbances on the health of vegetation, particularly forest ecosystems, are investigated using time series methods. The main data source is the archive of satellite Landsat data. The selected vegetation indices are used and tested for the purposes of the detection of land cover changes and evaluation of the health of forest. From point of view data sources and methods, Landsat CDR data and calculated vegetation indices based on this data reflect very well the disturbance events, especially wind storms and biological calamities (bark beetle, in this article). The results express the high relevance of the radiometric normalizations in the time series analysis. Especially, tested methods Pseudoinvariant Features (Linear Based), Ridge (Linear Based) are useful. Time series analysis validated by in-situ data is efficient to detect the individual phases of forest disturbances and subsequent regeneration. The methods and results are very useful for the study of the changes of forest health and bring relevant information for the management of national parks.
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conference
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17th International Multidisciplinary Scientific GeoConference SGEM 2017
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17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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87-100
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29 June - 5 July, 2017
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website
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cdrom
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3182
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Disturbance; vegetation indices; radiometric normalization; time series; Landsat
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