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

Molnár, Tamás és Bolla, Bence Kálmán és Szabó, Orsolya és Koltay, András (2025) Sentinel-2-Based Forest Health Survey of ICP Forests Level I and II Plots in Hungary. JOURNAL OF IMAGING, 11 (11). ISSN 2313-433X

Szöveg jimaging-11-00413-v2.pdf Download (20MB)

Absztrakt (kivonat)

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.

Tudományterület / tudományág

agrártudományok > erdészeti és vadgazdálkodási tudományok
műszaki tudományok > informatikai tudományok

Kar

Nem releváns

Intézmény

Soproni Egyetem

Mű tipusa:	Cikk
SWORD Depositor:	Teszt Sword
Felhasználó:	Csaba Horváth
A mű MTMT azonosítója:	MTMT:36441239
Dátum:	05 Dec 2025 12:01
Utolsó módosítás:	05 Dec 2025 12:01
URI:	http://publicatio.uni-sopron.hu/id/eprint/3840

Actions (login required)

Tétel nézet