Sentinel-2-Based Forest Health Survey of ICP Forests Level I and II Plots in Hungary

Forest damage has been increasingly recorded over the past decade in both Europe and Hungary, primarily due to prolonged droughts, causing a decline in forest health. In the framework of ICP Forests, the forest damage has been monitored for decades; however, it is labour-intensive and time-consuming. Satellite-based remote sensing offers a rapid and efficient method for assessing large-scale damage events, combining the ground-based ICP Forests datasets. This study utilised cloud computing and Sentinel-2 satellite imagery to monitor forest health and detect anomalies. Standardised NDVI (Z NDVI) maps were produced for the period from 2017 to 2023 to identify disturbances in the forest. The research focused on seven active ICP Forests Level II and 78 Level I plots in Hungary. Z NDVI values were divided into five categories based on damage severity, and there was agreement between Level II field data and satellite imagery. In 2017, severe damage was caused by late frost and wind; however, the forest recovered by 2018. Another decline was observed in 2021 due to wind and in 2022 due to drought. Data from the ICP Forests Level I plots, which represent forest condition in Hungary, indicated that 80% of the monitored stands were damaged, with 30% suffering moderate damage and 15% experiencing severe damage. Z NDVI classifications aligned with the field data, showing widespread forest damage across the country.

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Publication Details

Journal
Journal of Imaging
Published
2025-11-14
DOI
https://doi.org/10.3390/jimaging11110413
Primary Topic
Tree Root and Stability Studies
Type
article
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article

Sentinel-2-Based Forest Health Survey of ICP Forests Level I and II Plots in Hungary

Orsolya Szabó, Tamás Molnár, A. Koltay, Bence Bolla
Journal of Imaging
Tree Root and Stability Studies
article

Sentinel-2-Based Forest Health Survey of ICP Forests Level I and II Plots in Hungary

Orsolya Szabó, Tamás Molnár, A. Koltay, Bence Bolla
article en

Abstract

Forest damage has been increasingly recorded over the past decade in both Europe and Hungary, primarily due to prolonged droughts, causing a decline in forest health. In the framework of ICP Forests, the forest damage has been monitored for decades; however, it is labour-intensive and time-consuming. Satellite-based remote sensing offers a rapid and efficient method for assessing large-scale damage events, combining the ground-based ICP Forests datasets. This study utilised cloud computing and Sentinel-2 satellite imagery to monitor forest health and detect anomalies. Standardised NDVI (Z NDVI) maps were produced for the period from 2017 to 2023 to identify disturbances in the forest. The research focused on seven active ICP Forests Level II and 78 Level I plots in Hungary. Z NDVI values were divided into five categories based on damage severity, and there was agreement between Level II field data and satellite imagery. In 2017, severe damage was caused by late frost and wind; however, the forest recovered by 2018. Another decline was observed in 2021 due to wind and in 2022 due to drought. Data from the ICP Forests Level I plots, which represent forest condition in Hungary, indicated that 80% of the monitored stands were damaged, with 30% suffering moderate damage and 15% experiencing severe damage. Z NDVI classifications aligned with the field data, showing widespread forest damage across the country.

Journal of ImagingVol. 11(11)
Forest Research Institute (HU), University of Sopron (HU)
Openalex Percentile: Top 64%
Tree Root and Stability Studies
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Sentinel-2-Based Forest Health Survey of ICP Forests Level I and II Plots in Hungary — Orsolya Szabó, Tamás Molnár, et al. · Journal of Imaging (2025) | TGRS Research Map | TGRS