PHENOLOGICAL METRICS DERIVED FROM SENTINEL-2 DATA FOR SOLIDAGO GIGANTEA MAPPING

The mapping of invasive species is essential for effective management and conservation efforts. In this study, we aimed to map the distribution of the invasive species Solidago gigantea using phenology and remote sensing. Phenological descriptors are temporal patterns of plant life cycle events, such as flowering and fruiting, which can provide valuable information for species identification and monitoring. We collected field data on Solidago gigantea's phenological characteristics, including the timing and duration of flowering and fruiting, across the floodplains. Remote sensing data, including aerial imagery and satellite images, were integrated with the field data to create a spatial distribution map of Solidago gigantea. The results revealed distinct phenological patterns associated with the plant, allowing for accurate identification and mapping of its distribution. The spatial distribution map highlighted areas of high risk of invasion, providing valuable information for targeted management strategies. Overall, the combination of phenological descriptors and remote sensing data proved to be a powerful tool for mapping invasive species. This study contributes to the understanding of their spread and aids in the development of effective control measures.