EVALUATION OF FOREST DISTURBANCES IN THE LOW TATRAS NATIONAL PARK USING TIME SERIES OF SATELLITE IMAGES
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F17%3A10364344" target="_blank" >RIV/00216208:11310/17:10364344 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/ijgi8020071" target="_blank" >https://doi.org/10.3390/ijgi8020071</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijgi8020071" target="_blank" >10.3390/ijgi8020071</a>
Alternative languages
Result language
angličtina
Original language name
EVALUATION OF FOREST DISTURBANCES IN THE LOW TATRAS NATIONAL PARK USING TIME SERIES OF SATELLITE IMAGES
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10508 - Physical geography
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SGEM2017 Conference Proceedings
ISBN
978-619-7408-03-4
ISSN
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e-ISSN
neuvedeno
Number of pages
14
Pages from-to
87-100
Publisher name
SGEM
Place of publication
Vienna, Albena
Event location
Albena, Bulgaria
Event date
Jun 29, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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