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Vegetation

Workflow repository for the HYDRA-EO project, hosting processing pipelines, scripts, and documentation supporting hybrid machine learning and radiative transfer modelling for crop stress, pests, and disease monitoring using multi-sensor Earth Observation data.

The script focuses on assessing tree vitality trends in urban areas of the Netherlands using high-resolution satellite data and vegetation indices. It employs tree segmentation, trend analysis with weighted linear regression, and classification based on slope values. The methodology enables scalable monitoring of tree health and stress, providing valuable insights for urban forestry management and planning.