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 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.

Datasets:

IGNF
/

PureForest

Dataset Card for PureForest

PureForest in a nutshell

Dataset structure