Published March 9, 2026 | Version v3
Dataset Open

Data for: Geospatial foundation models enable data-efficient tree species mapping in temperate mountain forests

  • 1. University of Cambridge
  • 2. Fondazione Edmund Mach
  • 3. University of Natural Resources and Life Sciences, Vienna

Description

This dataset accompanies the paper "Geospatial foundation models enable data-efficient tree species mapping in temperate mountain forests" published in Remote Sensing of Environment.

It contains pre-distilled training datasets (NumPy archives), preprocessed forestry parcel reference data (GeoPackage), a wall-to-wall 10 m species map, experiment result files, trained model weights, and class registries for 18 tree species across the Autonomous Province of Trento (Italian Alps).

See the included README.md for full documentation. Source code: https://github.com/PatBall1/trentino-trees

Files

data__class_registry_jana.csv

Files (48.5 GB)

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Additional details

Related works

Is supplemented by
Software: https://github.com/PatBall1/trentino-trees (URL)