Knotweed (Reynoutria japonica) UAV imagery and reference data (raw)

This dataset includes drone (Uncrewed Aerial Vehicles, UAV) orthomosaics (RGB, n =3) of Reynoutria japonica (Knotweed) acquired in 2021 in Germany. The resolution (ground sampling distance) of the orthomosaics is below 1 cm. The orthomosaics are labelled (polygon shapefiles) in terms of Knotweedcover. Each orthomosaic comes with an AOI (area of interest, polygon shapefile) that indicates the areas where the labelling was performed. Within the extent of this AOI Knotweedcanopies are assumed to be completely delineated (by visual interpretation). For visual inspection of the imagery we recommend to generate image pyramids since the image data has a very high spatial resolution. Details on the dataset are mentioned in the corresponding publication: Soltani, S., Feilhauer, H., Duker, R., &amp; Kattenborn, T. (2022). Transfer learning from citizen science photographs enables plant species identification in UAVs imagery. <em>ISPRS Open Journal of Photogrammetry and Remote Sensing</em>, 100016. https://doi.org/10.1016/j.ophoto.2022.100016 https://www.sciencedirect.com/science/article/pii/S2667393222000059