About
This dataset release provides a small validation sample of canopy height model (CHM) data for select areas across the western United States. The data includes high-resolution GeoTIFF files for NAIP imagery, LiDAR-derived CHM, and VibrantVS CHM, allowing users to compare model outputs against benchmark LiDAR measurements.
Datasets Included:
- NAIP (National Agriculture Imagery Program) Imagery
- 4-band aerial imagery (red, green, blue, near-infrared)
- Serves as the primary input for vegetation structure modeling
- LiDAR-Derived Canopy Height Model (CHM)
- High-precision elevation data from 3DEP LiDAR surveys (2014–2021)
- Provides ground-truth canopy height measurements for validation
- VibrantVS Canopy Height Model (CHM)
- AI-generated CHM using a multi-task Vision Transformer (ViT) deep learning model
- Trained on NAIP imagery and benchmarked against LiDAR data
- Designed for broader spatial coverage and frequent updates (~3-year cycle)
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VibrantVS Canopy Height Model (CHM)
This dataset provides a small validation sample of canopy height data for select areas across the western U.S. It includes GeoTIFF files for NAIP, LiDAR, and VibrantVS CHM.
Direct Download (Full File) - HTTPS Link
Use this link to download the entire file directly to your local storage through the browser. This method is ideal for quick and easy access but requires sufficient local storage and bandwidth for the full download.
Direct Access
Get hands-on access to this dataset using interactive notebooks. Choose between the Google Colab notebook for quick exploration in your browser or access the hosted Jupyter Notebooks via Binder or GitHub for more advanced workflows.
Direct access to the Google Collab notebook
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Click the button to the left to launch an interactive notebook directly in your browser. This pre-configured Colab notebook provides a quick and easy way to explore, visualize, and analyze the data—no setup required.
GitHub hosted Jupyter Notebooks
Flexible access for advanced workflows
Access the full collection of Jupyter Notebooks hosted on GitHub. These notebooks can be used on your local machine or via cloud platforms like Binder or Google Colaboratory, providing flexibility for more advanced customizations.