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本数据集包含2021年于德国采集的日本虎杖（Reynoutria japonica，Knotweed）无人机（Uncrewed Aerial Vehicles, UAV）正射镶嵌影像（RGB格式，共3幅）。该正射镶嵌影像的地面采样距离（ground sampling distance）低于1厘米。所有正射镶嵌影像均已基于虎杖覆盖范围完成标注，标注采用多边形形状文件（polygon shapefiles）格式。每幅正射镶嵌影像均附带标注作业所用的感兴趣区域（area of interest, AOI）多边形形状文件，该文件划定了本次标注的实施范围。在该感兴趣区域的范围内，虎杖冠层经目视解译已被完整勾勒。鉴于本影像数据空间分辨率极高，建议生成影像金字塔以开展影像目视检查。本数据集的详细信息参见对应发表文献：Soltani, S., Feilhauer, H., Duker, R. 与 Kattenborn, T. (2022). 从公民科学照片开展迁移学习实现无人机影像的植物物种识别。《ISPRS Open Journal of Photogrammetry and Remote Sensing》，100016。https://doi.org/10.1016/j.ophoto.2022.100016 https://www.sciencedirect.com/science/article/pii/S2667393222000059