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---
license: etalab-2.0
pretty_name: PureForestt
size_categories:
- 100K<n<1M
task_categories:
- image-classification
tags:
- IGN
- Aerial
- Environement
- Multimodal
- Earth Observation
- Lidar
- ALS
- Point Cloud
- Forest
- Tree Species
---
# Dataset Card for PureForest
## PureForest in a nutshell
- Data from 449 distinct closed forests in 40, mostly southern, French departments
- 135,569 patches (50m*50m), totalling 339km² of exploitable data.
- Two modalities:
- High resolution aerial images (250x250p at 0.2 m spatial resolution) totalling 34 Go, in GeoTIFF format.
- High density aerial Lidar point clouds (10 pulse/m²) totalling 118 Go, in LAZ format.
- Patches of pure species forest, with a single tree species label, for classification tasks.
- 13 semantic classes, hierarchically grouping 18 tree species from 9 tree genus.
- A reference train/val/test split with class stratification
- Data for each forest exclusively belongs to either the train, val, or test set.
## Dataset structure
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