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

TL;DR
TerraTorch is a comprehensive, open-source toolkit built on PyTorch Lightning that simplifies fine-tuning and benchmarking geospatial foundation models for satellite, weather, and climate data applications.
Contribution
It introduces a modular, no-code framework with integrated hyperparameter optimization and benchmarking capabilities tailored for geospatial data.
Findings
Enables easy fine-tuning of models with minimal expertise.
Supports systematic benchmarking with GEO-Bench integration.
Reduces time and effort in developing geospatial AI models.
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…
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Taxonomy
TopicsGeographic Information Systems Studies · 3D Modeling in Geospatial Applications
