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README.md
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- Tree Species
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# Dataset
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The Lidar data was acquired via the [Lidar HD program (2020-2025)](https://geoservices.ign.fr/lidarhd), an ambitious initiative undertaken by the IGN - the French Mapping Agency - to obtain a detailed 3D description of the French territory using ALS.
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Aerial images come from the [ORTHO HR®](https://geoservices.ign.fr/bdortho), a mosaic of aerial images acquired during national aerial surveys by the IGN.
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Lidar and imagery data were acquired over several years in distinct programs, and up to 3 years might separate them. The years of acquisition are given as metadata.
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# PureForest: A Large-Scale Aerial Lidar and Aerial Imagery Dataset for Tree Species Classification in Monospecific Forests
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> - PureForest dataset is derived from 449 different forests located in 40 French departments, mainly in the southern regions.
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> - This dataset includes 135,569 patches, each measuring 50 m x 50 m, covering a cumulative exploitable area of 339 km².
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> - Each patch represents a monospecific forest, annotated with a single tree species label.
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> - The proposed classification has 13 semantic classes, hierarchically grouping 18 tree species.
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> - PureForest features 3D and 2D modalities:
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> - High density Aerial Lidar Scanning (ALS) point clouds of high density: 10 pulses/m², or about 40 pts/m².
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The Lidar data was acquired via the [Lidar HD program (2020-2025)](https://geoservices.ign.fr/lidarhd), an ambitious initiative undertaken by the IGN - the French Mapping Agency - to obtain a detailed 3D description of the French territory using ALS.
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> - Very High Resolution (VHR) aerial images with RGB + Near-Infrared channels at a spatial resolution of 0.2 m (250 × 250 pixels).
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Aerial images come from the [ORTHO HR®](https://geoservices.ign.fr/bdortho), a mosaic of aerial images acquired during national aerial surveys by the IGN.
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Lidar and imagery data were acquired over several years in distinct programs, and up to 3 years might separate them. The years of acquisition are given as metadata.
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