metadata
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 density aerial Lidar point clouds (10 pulse/m²) totalling 118 Go, in LAZ format.
- High resolution aerial images (250x250p at 0.2 m spatial resolution) totalling 34 Go, in GeoTIFF 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.
| Class | Train (%) | Val (%) | Test (%) |
|---|---|---|---|
| (0) Deciduous oak | 22.92% | 32.35% | 52.59% |
| (1) Evergreen oak | 16.80% | 2.75% | 19.61% |
| (2) Beech | 10.14% | 12.03% | 7.62% |
| (3) Chestnut | 4.83% | 1.09% | 0.38% |
| (4) Black locust | 2.41% | 2.40% | 0.60% |
| (5) Maritime pine | 6.61% | 7.10% | 3.85% |
| (6) Scotch pine | 16.39% | 17.95% | 8.51% |
| (7) Black pine | 6.30% | 6.98% | 3.64% |
| (8) Aleppo pine | 5.83% | 1.72% | 0.83% |
| (9) Fir | 0.14% | 5.32% | 0.05% |
| (10) Spruce | 3.73% | 4.64% | 1.64% |
| (11) Larch | 3.67% | 3.73% | 0.48% |
| (12) Douglas | 0.23% | 1.95% | 0.20% |
Dataset structure
The PureForest dataset consists of a total of 135,569 patches: 69111 in the train set, 13523 in the validation set, and 52935 in the test set. Each patch includes a high-resolution aerial image (250x250) at 0.2 m resolution, and a point cloud of high density aerial Lidar (10 pulses/m², ~40pts/m²). Band order is Near Infrared, Red, Green, Blue. for convenience, the Lidar point clouds are vertically colorized with the aerial images.
| Lidar points clouds | Aerial imagery |
|---|---|
Citation
Please include a citation to the following article if you use the PureForest dataset:
@article{gaydon2024pureforest,
title={PureForest: A Single-label Lidar Benchmark Dataset for Tree Species Classification},
author={Charles Gaydon and Rémi Pas and Daniel Mijalcevic and Floryne Roche},
year={2024},
doi={TBD},
}
Dataset license
The "OPEN LICENCE 2.0/LICENCE OUVERTE" is a license created by the French government specifically for the purpose of facilitating the dissemination of open data by public administration.
This licence is governed by French law.
This licence has been designed to be compatible with any free licence that at least requires an acknowledgement of authorship, and specifically with the previous version of this licence as well as with the following licences: United Kingdom’s “Open Government Licence” (OGL), Creative Commons’ “Creative Commons Attribution” (CC-BY) and Open Knowledge Foundation’s “Open Data Commons Attribution” (ODC-BY).