Monitoring the spread and management of invasive and expansive species using advanced earth observation methods. Progress report 2025.

The main outcome of 2025 is the integration of detailed botanical mapping with advanced detection of invasive species from UAV imagery using machine learning methods. Field mapping was optimized to three key phenological periods, and 15 specialized maps, 98 thematic layers and 114 phytosociological relevés were produced. The botanical fieldwork provided new insights into the high regenerative capacity of Lupinus polyphyllus and highlighted the crucial importance of proper timing of management interventions. High detection accuracy using RGB data was confirmed, along with a functional system of field validation conducted immediately after image acquisition.