Remote Sensing, Volume 17, Issue 11
June-1 2025 - 157 articles
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Cover Story: In recent years, German forests have been severely affected by a series of droughts, heatwaves and large storm events and windthrow, often followed by insect infestations, primarily bark beetle, in monoculture Norway spruce stands. As bark beetle infestations are typically fatal, decision makers often need an educated estimation of potential future loss. This study adapts the spatio-temporal matrix (STM) method to work with a canopy cover loss product based on EO data. Since past canopy cover loss has neighborhood effects, a model was developed using STM data, its percentiles and environmental data to predict the probability of future canopy cover loss in German spruce forests. The modelled results for loss were compared with real loss for different locations, time periods and predictors where good capacity of prediction was achieved. View this paper