Application of satellite image series in the Hungarian forest disturbance monitoring

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Abstract

Application of satellite image time series in the Hungarian forest disturbance monitoring In my PhD thesis, a novel approach was created to utilize high-resolution Sentinel-2 satellite imagery of the European Space Agency and Google Earth Engine cloud computing. The processing, analysing, and visualization of vegetation and water index (NDVI, NDVI change standardized NDVI, etc.) maps and charts derived from satellite images took place online, in the cloud, to ensure the detection of forest disturbances in the three Hungarian study sites (Nagyerdő of Debrecen, Farkas-erdő of Sárvár, and Central Bükk) for the period 2017 – 2020. My results indicated that the combined dataset of satellite imagery and ground-based reports provided suitable input for forest damage monitoring conducted with GEE. The applied method successfully identified different types of forest damage on Z NDVI maps in the surveyed period with 78 % Total Accuracy

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