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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

—

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Europen Journal of Remote Sensing [online]

ISSN

2279-7254

e-ISSN

—

Svazek periodika

2020

Číslo periodika v rámci svazku

53

Stát vydavatele periodika

IT - Italská republika

Počet stran výsledku

27

Strana od-do

40-66

Kód UT WoS článku

000517563600001

EID výsledku v databázi Scopus

2-s2.0-85081026566