Tutorials
Getting Started
Learn what EOTDL offers for training datasets and ML models for Earth Observation.
Use Cases
Leverage EOTDL to create and train ML models for specific use cases.
Community Webinar 2025
Workshop conducted at Community Webinar on November 2025. Learn how to explore and stage datasets and models from EOTDL, train an ML model locally or in the cloud, ingest new datasets and models, create a brand new dataset and get involved in the project.
LPS 2025
Workshop conducted at LPS premises on June 2025. Learn how to explore and stage datasets and models from EOTDL, train an ML model locally or in the cloud, ingest new datasets and models, create a brand new dataset and get involved in the project.
PhiLab 2024
Workshop conducted at PhiLab premises on May 2024. Learn how to explore and stage datasets and models from EOTDL, train an ML model locally or in the cloud, ingest new datasets and models, create a brand new dataset with STAC metadata and get involved in the project.
BiDS 2023
Workshop conducted during the Big Data from Space (BiDS) 2023 conference. Lear how to explore and stage datasets and models from EOTDL, train an ML model locally or in the cloud, ingest new datasets and models, create a brand new dataset with STAC metadata and get involved in the project. A Youtube video of the workshop is available at the following link.
DATASETS
Recent datasets
Popular datasets
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MODELS
Recent models
Popular models
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Recent posts
use cases
tutorials
Published on October 10, 2025
Explore EOTDL through different use cases 📊
In this post we present multiple use cases developed with EOTDL so you can get an idea of how to use EOTDL for your own projects.
events
lps
Published on May 28, 2025
Join us at the Living Planet Symposium 2025
In this post we present EOTDL's participation at the Living Planet Symposium 2025 and how you can get in touch with us.
benchmark
datasets
models
pangaea
Published on May 7, 2025
PANGAEA Benchmark now available in EOTDL
We present the PANGAEA Benchmark, a new set of datasets for benchmarking the performance of Earth Observation Foundation Models.
