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arXiv · 2503.20563

TerraTorch: The Geospatial Foundation Models Toolkit

Carlos Gomes·Benedikt Blumenstiel·Joao Lucas de Sousa Almeida·Pedro Henrique de Oliveira·Paolo Fraccaro·Francesc Marti Escofet·Daniela Szwarcman·Naomi Simumba·Romeo Kienzler·Bianca Zadrozny
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Abstract

TerraTorch is a fine-tuning and benchmarking toolkit for Geospatial Foundation Models built on PyTorch Lightning and tailored for satellite, weather, and climate data. It integrates domain-specific data modules, pre-defined tasks, and a modular model factory that pairs any backbone with diverse decoder heads. These components allow researchers and practitioners to fine-tune supported models in a no-code fashion by simply editing a training configuration. By consolidating best practices for model development and incorporating the automated hyperparameter optimization extension Iterate, TerraTorch reduces the expertise and time required to fine-tune or benchmark models on new Earth Observation use cases. Furthermore, TerraTorch directly integrates with GEO-Bench, allowing for systematic and reproducible benchmarking of Geospatial Foundation Models. TerraTorch is open sourced under Apache 2.0, available at https://github.com/IBM/terratorch, and can be installed via pip install terratorch.

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Carlos Gomes, Benedikt Blumenstiel, Joao Lucas de Sousa Almeida, Pedro Henrique de Oliveira, Paolo Fraccaro, Francesc Marti Escofet, Daniela Szwarcman, Naomi Simumba, Romeo Kienzler, Bianca Zadrozny. 2025-03-26. TerraTorch: The Geospatial Foundation Models Toolkit. https://arxiv.org/abs/2503.20563

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