Evaluation of the Influence of Disturbances on Forest Vegetation Using the Time Series of Landsat Data: A Comparison Study of the Low Tatras and Sumava National Parks

This study focused on the evaluation of forest vegetation changes from 1992 to 2015 in the Low Tatras National Park (NAPANT) in Slovakia and the Sumava National Park in Czechia using a time series (TS) of Landsat images. The study area was damaged by wind and bark beetle calamities, which strongly i...

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Main Authors: Premysl Stych, Josef Lastovicka, Radovan Hladky, Daniel Paluba
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/8/2/71
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author Premysl Stych
Josef Lastovicka
Radovan Hladky
Daniel Paluba
author_facet Premysl Stych
Josef Lastovicka
Radovan Hladky
Daniel Paluba
author_sort Premysl Stych
collection DOAJ
description This study focused on the evaluation of forest vegetation changes from 1992 to 2015 in the Low Tatras National Park (NAPANT) in Slovakia and the Sumava National Park in Czechia using a time series (TS) of Landsat images. The study area was damaged by wind and bark beetle calamities, which strongly influenced the health state of the forest vegetation at the end of the 20th and beginning of the 21st century. The analysis of the time series was based on the ten selected vegetation indices in different types of localities selected according to the type of forest disturbances. The Landsat data CDR (Climate Data Record/Level 2) was normalized using the PIF (Pseudo-Invariant Features) method and the results of the Time Series were validated by in-situ data. The results confirmed the high relevance of the vegetation indices based on the SWIR bands (e.g., NDMI) for the purpose of evaluating the individual stages of the disturbance (especially the bark beetle calamity). Usage of the normalized Landsat data Climate Data Record (CDR/Level 2) in the research of long-term forest vegetation changes has a high relevance and perspective due to the free availability of the corrected data.
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spelling doaj.art-9eb5237962ca464d8d333bc71e4088b32022-12-22T01:37:39ZengMDPI AGISPRS International Journal of Geo-Information2220-99642019-01-01827110.3390/ijgi8020071ijgi8020071Evaluation of the Influence of Disturbances on Forest Vegetation Using the Time Series of Landsat Data: A Comparison Study of the Low Tatras and Sumava National ParksPremysl Stych0Josef Lastovicka1Radovan Hladky2Daniel Paluba3Department of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Albertov 6, 128 43 Prague 2, Czech RepublicDepartment of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Albertov 6, 128 43 Prague 2, Czech RepublicDepartment of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Albertov 6, 128 43 Prague 2, Czech RepublicDepartment of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Albertov 6, 128 43 Prague 2, Czech RepublicThis study focused on the evaluation of forest vegetation changes from 1992 to 2015 in the Low Tatras National Park (NAPANT) in Slovakia and the Sumava National Park in Czechia using a time series (TS) of Landsat images. The study area was damaged by wind and bark beetle calamities, which strongly influenced the health state of the forest vegetation at the end of the 20th and beginning of the 21st century. The analysis of the time series was based on the ten selected vegetation indices in different types of localities selected according to the type of forest disturbances. The Landsat data CDR (Climate Data Record/Level 2) was normalized using the PIF (Pseudo-Invariant Features) method and the results of the Time Series were validated by in-situ data. The results confirmed the high relevance of the vegetation indices based on the SWIR bands (e.g., NDMI) for the purpose of evaluating the individual stages of the disturbance (especially the bark beetle calamity). Usage of the normalized Landsat data Climate Data Record (CDR/Level 2) in the research of long-term forest vegetation changes has a high relevance and perspective due to the free availability of the corrected data.https://www.mdpi.com/2220-9964/8/2/71time seriesLandsatvegetation indicesthe Low Tatrasbark beetle disturbanceSumava
spellingShingle Premysl Stych
Josef Lastovicka
Radovan Hladky
Daniel Paluba
Evaluation of the Influence of Disturbances on Forest Vegetation Using the Time Series of Landsat Data: A Comparison Study of the Low Tatras and Sumava National Parks
ISPRS International Journal of Geo-Information
time series
Landsat
vegetation indices
the Low Tatras
bark beetle disturbance
Sumava
title Evaluation of the Influence of Disturbances on Forest Vegetation Using the Time Series of Landsat Data: A Comparison Study of the Low Tatras and Sumava National Parks
title_full Evaluation of the Influence of Disturbances on Forest Vegetation Using the Time Series of Landsat Data: A Comparison Study of the Low Tatras and Sumava National Parks
title_fullStr Evaluation of the Influence of Disturbances on Forest Vegetation Using the Time Series of Landsat Data: A Comparison Study of the Low Tatras and Sumava National Parks
title_full_unstemmed Evaluation of the Influence of Disturbances on Forest Vegetation Using the Time Series of Landsat Data: A Comparison Study of the Low Tatras and Sumava National Parks
title_short Evaluation of the Influence of Disturbances on Forest Vegetation Using the Time Series of Landsat Data: A Comparison Study of the Low Tatras and Sumava National Parks
title_sort evaluation of the influence of disturbances on forest vegetation using the time series of landsat data a comparison study of the low tatras and sumava national parks
topic time series
Landsat
vegetation indices
the Low Tatras
bark beetle disturbance
Sumava
url https://www.mdpi.com/2220-9964/8/2/71
work_keys_str_mv AT premyslstych evaluationoftheinfluenceofdisturbancesonforestvegetationusingthetimeseriesoflandsatdataacomparisonstudyofthelowtatrasandsumavanationalparks
AT joseflastovicka evaluationoftheinfluenceofdisturbancesonforestvegetationusingthetimeseriesoflandsatdataacomparisonstudyofthelowtatrasandsumavanationalparks
AT radovanhladky evaluationoftheinfluenceofdisturbancesonforestvegetationusingthetimeseriesoflandsatdataacomparisonstudyofthelowtatrasandsumavanationalparks
AT danielpaluba evaluationoftheinfluenceofdisturbancesonforestvegetationusingthetimeseriesoflandsatdataacomparisonstudyofthelowtatrasandsumavanationalparks