Bark beetle predictive model results (FirEUrisk)

This datasets contains three products developed within the FirEUrisk project. FirEUrisk is funded by the European Union as part of the Horizon 2020 framework program (Grant Agreement No. 101003890). It is focused on evaluating and promoting an integrated science-based strategy to improve forest fire risk assessments in Europe FirEUrisk_BarkBeetleAttackPredic_50m_DE.CZ.PL_20240126_V01.tif This product shows the probability of a bark beetle (Ips typographus) attack between September 2020 and October 2021. The assessment includes a set of risk factors that predispose forests to pest infestations and wildfires propagation for the FirEUrisk Central-Eastern Europe Pilot Site. This technological solution aims to identify areas prone to a bark beetle infestation using Earth Observation data and machine learning techniques. The geospatial results are provided in raster format (.tiff) to help managers optimise their resources and mitigate the negative effects of plagues. The results indicate the probability of a bark beetle attack, being ranged from 0 to 100. FirEUrisk_BarkBeetleDamage_10m_DE.CZ.PL_20240126_V01.tif This product contains an estimate of the real bark beetle damage between September 2020 and October 2021. This estimate was derived from Sentinel-2 imagery and was used as target to train the predictive model. FirEUrisk_SpruceClassification_10m_DE.CZ.PL_20240126_V01.tif This product contains a classification of spruce (Picea abies) area for September 2020. It was derived from Sentinel-2 imagery and used as input for the estimation of bark beetle damage and the predictive model.