Pinus (Pinus radiata) UAV imagery and reference data (raw)

This dataset includes drone (Uncrewed Aerial Vehicles, UAV) orthomosaics (RGB, n =4) of Pinus radiata acquired between 2016-2017 in Chile. The resolution (ground sampling distance) of the orthomosaics amounts to approx. 3-4 cm. The orthomosaics are partially labelled (polygon shapefiles) in terms of Pinus cover. 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 Pinus canopies 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: Kattenborn, T., Lopatin, J., Förster, M., Braun, A. C., &amp; Fassnacht, F. E. (2019). UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data. <em>Remote sensing of environment</em>, <em>227</em>, 61-73. https://doi.org/10.1016/j.rse.2019.03.025 https://www.sciencedirect.com/science/article/abs/pii/S0034425719301166本数据集涵盖2016至2017年间于智利采集的辐射松（*Pinus radiata*）无人机（Uncrewed Aerial Vehicles, UAV）正射影像（orthomosaics），共计4幅RGB格式影像。该正射影像的地面采样距离（ground sampling distance）约为3至4厘米。 该批正射影像已针对辐射松覆盖范围进行部分标注，标注格式为多边形矢量形状文件（polygon shapefiles）。每幅正射影像均附带一份感兴趣区域（area of interest, AOI）多边形矢量形状文件，用以标注已完成标注的影像区域。在该感兴趣区域范围内，辐射松冠层已通过目视解译完成全部勾画。 鉴于本影像数据空间分辨率极高，建议生成影像金字塔（image pyramids）以方便进行目视检查。 本数据集的详细信息可参阅以下已发表文献：Kattenborn, T., Lopatin, J., Förster, M., Braun, A. C., & Fassnacht, F. E. (2019). 《基于Sentinel-1与Sentinel-2联合数据的木本入侵物种制图：利用无人机数据替代野外采样》，《环境遥感》（*Remote Sensing of Environment*），第227卷，第61-73页。DOI: 10.1016/j.rse.2019.03.025，论文链接：https://doi.org/10.1016/j.rse.2019.03.025 及 https://www.sciencedirect.com/science/article/abs/pii/S0034425719301166