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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., & 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. Remote sensing of environment, 227, 61-73. https://doi.org/10.1016/j.rse.2019.03.025 https://www.sciencedirect.com/science/article/abs/pii/S0034425719301166
remote sensing, Pinus radiata, drones, plant species mapping, classification, UAV, Convolutional Neural Networks, segmentation, pattern recognition, mapping
remote sensing, Pinus radiata, drones, plant species mapping, classification, UAV, Convolutional Neural Networks, segmentation, pattern recognition, mapping
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