Create README.md

README.md

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+---
+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