Update README.md

README.md

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 ## Geolayers-Data
 
+![Preview_OSM](osm_usavars.pdf "Sample Geographic Inputs with the USAVars Dataset")
+
 This dataset card contains usage instructions and metadata for all data-products released with our paper:  
 *Using Multiple Input Modalities can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery.* We release 3 modified versions of 3 benchmark datasets spanning land-cover segmentation, tree-cover regression, and multi-label land-cover classification tasks. These datasets are augmented with auxiliary, geographic inputs. A full list of contributed data products is shown in the table below.
 
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 | [SustainBench](https://arxiv.org/abs/2111.04724)      | Farmland boundary delineation      | Sentinel-2 RGB             | U-Net      | OSM rasters, EU-DEM                                    | ✗                         |
 | [EnviroAtlas](https://arxiv.org/abs/2202.14000)       | Land-cover segmentation            | NAIP RGB + NIR              | FCN        | [Prior](https://arxiv.org/abs/2202.14000), OSM rasters | ✓                         |
 | [BigEarthNet v2.0](https://bigearth.net/static/documents/Description_BigEarthNet_v2.pdf) | Land-cover classification          | Sentinel-2 (10 bands)       | ViT        | [SatCLIP](https://arxiv.org/abs/2311.17179) embeddings | ✓                         |
-| [USAVars](https://arxiv.org/abs/2010.08168)           | Tree-cover regression               | NAIP RGB + NIR              | ResNet-50  | OSM rasters, DEM                                        | ✗                         |
+| [USAVars](https://arxiv.org/abs/2010.08168)           | Tree-cover regression               | NAIP RGB + NIR              | ResNet-50  | OSM rasters                                        | ✗                         |
 
 ## 📦 Datasets & Georeferenced Auxiliary Layers
 
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 * **Optical input:** NAIP RGB-NIR images (1 km² tiles); ≈ 100 k samples with tree-cover % labels.  
 * **Auxiliary layers:**  
   * Extended OSM raster stack (roads, buildings, land-use, biome classes, …)  
-  * Continental Europe Digital Elevation Model (DEM) resampled to 10 m GSD  
 * **Notes:** Stacking the OSM raster boosts R² by 0.16 in the low-data regime (< 250 images); DEM is provided raw for flexibility.
 
 ## Usage Instructions