---
library_name: tte
pipeline_tag: feature-extraction
tags: [location-encoder, geospatial, remote-sensing, sentinel-2, voronoi]
license: mit
---

# Tessellating the Earth (TTE) — location encoder

Maps a geographic coordinate `(lat, lon)` to a 512-dim embedding via a learnable
Spherical Voronoi partition of S² with global semantic tokens. ECCV 2026.

- Code: https://github.com/mvrl/TTE
- Project page: https://dcher95.github.io/TTE/

```python
import torch
from tte import TTE                       # pip install from github.com/mvrl/TTE

model = TTE.from_pretrained("dcher95/TTE").eval()
coords = torch.tensor([[37.77, -122.42],  # (lat, lon) in degrees
                       [-3.12,   60.02]])
emb = model.encode(coords)                # (N, 512), L2-normalized
```

Image backbone used during training (not needed here): frozen SSL4EO-S12 MAE ViT-L/16.