| --- |
| tags: |
| - renewable-energy |
| - geospatial |
| - satellite-imagery |
| - site-suitability |
| - olmoearth |
| - sentinel-2 |
| - foundation-model |
| - embeddings |
| license: mit |
| task_categories: |
| - tabular-classification |
| language: |
| - en |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # O3 EartH Dataset |
|
|
| Geospatial site suitability dataset with OlmoEarth foundation model embeddings for renewable energy infrastructure assessment. |
|
|
| **Key result:** OlmoEarth embeddings achieve AUC 0.867 under spatial cross-validation (leave-one-country-out). |
|
|
| ## Files |
|
|
| | File | Description | |
| |------|-------------| |
| | suitability_dataset_v2_shuffled.parquet | 24,866 labeled samples (lat, lon, energy_type, label, country) | |
| | all_energy_locations.parquet | 321,614 global energy plant locations from EIA + OSM | |
| | embeddings/embeddings.npy | 8,000 OlmoEarth 768-dim embeddings | |
| | embeddings/embeddings_meta.csv | Metadata for each embedding | |
| | models/xgb_*.json | Trained XGBoost classifiers per energy type | |
| | models/scaler_*.pkl | StandardScaler for each energy type | |
|
|
| ## How Embeddings Were Extracted |
|
|
| Sentinel-2 L2A (12 bands, 10m resolution) patches are passed through frozen OlmoEarth BASE encoder (97M params), then mean-pooled to produce a 768-dimensional landscape fingerprint per location. |
|
|
| - Source imagery: Microsoft Planetary Computer |
| - Model: allenai/olmoearth_pretrain (OLMOEARTH_V1_BASE) |
| - Patch size: 128x128 pixels (~1.28km) |
| - Time range: 2022-2023, max 30% cloud cover |
| |
| ## Coverage |
| |
| - 100+ countries across 6 continents |
| - 4 energy types: solar (10K), wind (10K), hydro (4K), geothermal (866) |
| - Balanced positive (existing sites) and negative (random locations) samples |
| |
| ## Results |
| |
| | Method | AUC | |
| |--------|-----| |
| | Geography only (lat/lon) | 0.579 | |
| | OlmoEarth embeddings | 0.902 | |
| | Spatial CV (leave-one-country-out) | 0.867 | |
| |
| ## Citation |
| |
| Qi, Ziming. "O3 EartH: Geospatial Site Suitability Assessment Using Foundation Model Embeddings." 2026. Northeastern University. |
| |
| ## Links |
| |
| - GitHub: https://github.com/2imi9/O3earth |
| - OlmoEarth: https://github.com/allenai/olmoearth_pretrain |
|
|
