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Integration of remote sensing data for forest risk assessment and disturbance monitoring in the Krkonoše National Park Cover

Integration of remote sensing data for forest risk assessment and disturbance monitoring in the Krkonoše National Park

Open Access
|Feb 2026

Abstract

Forest disturbances are a natural phenomenon, however, understanding of their spatial progression is essential to adapt appropriate management strategies. Because most disturbances are to some extent influenced by management measures, it is necessary to study disturbances in areas with minimal human interference. This study aims to detect and analyse the progress of disturbance in and around a non-intervention zone of the Krkonoše National Park in the Czech Republic. Our analysis showed that either Sentinel-2 based or airborne-based approach was able to detect ongoing disturbances, however, spatial resolution is a key parameter for the detection of small-scale forest disturbances. Both sources independently identified a distance of up to 125 m from previous disturbances as the area with the highest risk of further propagation. The specific distance depends on the phase of disturbance at the site. The distance is lower in areas experiencing a progressive disturbance phase (i.e. 75 m in areas with a high population density of bark beetles). A sequence of remote sensing detection and buffer zone creation could be used as a tool for assessing risk areas in forest stands.

DOI: https://doi.org/10.2478/forj-2025-0016 | Journal eISSN: 2454-0358 | Journal ISSN: 2454-034X
Language: English
Page range: 74 - 84
Published on: Feb 14, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Vojtěch Bárta, Lucie Homolová, Petr Lukeš, Lucie Červená, Jakub Lysák, Zuzana Lhotáková, Eva Neuwirthová, Jana Albrechtová, Markéta Potůčková, Lucie Kupková, published by National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.