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Evaluation of the influence of disturbances on forest vegetation using Landsat time series; a case study of the Low Tatras National Park

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F20%3A10409400" target="_blank" >RIV/00216208:11310/20:10409400 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=0o4mLcokvr" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=0o4mLcokvr</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/22797254.2020.1713704" target="_blank" >10.1080/22797254.2020.1713704</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of the influence of disturbances on forest vegetation using Landsat time series; a case study of the Low Tatras National Park

  • Original language description

    This study is focused on the evaluation of forest vegetation changes that took place between 1992 and 2015 in the Low Tatras National Park in Slovakia, using time series on Landsat 4, 5, 7, and 8 data. Time-series analysis was performed by evaluating the development of six vegetation indices in nine different localities selected based on the type of damage. The CDR (Climate Data Records) of the Landsat data was first normalized using the PIF method, and the trajectories of the used vegetation indices were compared with in-situ data. The area was damaged by both wind and bark beetles that significantly affected the forest vegetation in the Low Tatras National Park at the beginning of the 21st century. The results confirmed the excellent predictive abilities of vegetation indices based on SWIR bands (e.g. NDMI) for the purpose of evaluating the individual stages of a disaster. The use of the Landsat data CDR in the research of long-term forest vegetation changes is of high relevance and perspective owing to the free availability and distribution of the corrected data. Finally, several applications of remote sensing data are proposed for the management and the protection of national parks.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10508 - Physical geography

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Europen Journal of Remote Sensing [online]

  • ISSN

    2279-7254

  • e-ISSN

  • Volume of the periodical

    2020

  • Issue of the periodical within the volume

    53

  • Country of publishing house

    IT - ITALY

  • Number of pages

    27

  • Pages from-to

    40-66

  • UT code for WoS article

    000517563600001

  • EID of the result in the Scopus database

    2-s2.0-85081026566