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ISPRS Int. J. Geo-Inf. 2019, 8(2), 71; https://doi.org/10.3390/ijgi8020071

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

1
Department of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Albertov 6, 128 43 Prague 2, Czech Republic
2
Administration of the Low Tatras National Park, State Nature Conservation of the Slovak Republic (NAPANT), Partizanska cesta 69, 974 01 Banska Bystrica, Slovakia
*
Author to whom correspondence should be addressed.
Received: 15 December 2018 / Revised: 24 January 2019 / Accepted: 29 January 2019 / Published: 31 January 2019
(This article belongs to the Special Issue GIS for Safety & Security Management)
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Abstract

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. View Full-Text
Keywords: time series; Landsat; vegetation indices; the Low Tatras; bark beetle disturbance; Sumava time series; Landsat; vegetation indices; the Low Tatras; bark beetle disturbance; Sumava
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Stych, P.; Lastovicka, J.; Hladky, R.; Paluba, D. 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 Int. J. Geo-Inf. 2019, 8, 71.

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