README.md

---
license: mit
tags:
- pytorch
- pytorch-lightning
- dem
- super-resolution
- remote-sensing
---

# DEM Super-Resolution Model

This is a trained PyTorch Lightning model for super-resolving 30m SRTM DEMs to 10m resolution using Sentinel-2 imagery.

## Model Details
- **Architecture**: U-Net with ResNet34 encoder
- **Input Channels**: 7 (SRTM, RGB, NIR, NDVI, mask)
- **Output**: Residual corrections for DEM super-resolution
- **Training Data**: McKinley Mine LiDAR DEM
- **Inference**: Applied to Marrakech, Morocco

## Usage
```python
import torch
from your_model_loading_code import DeepDEMRefinement

model = DeepDEMRefinement.load_from_checkpoint("deepdem_model.ckpt")
# Use as needed