Repository containing code, data, model weights, and example notebook for manuscript titled Predicting lake bathymetry from the topography of the surrounding terrain using deep learning published in Limnology and Oceanography: Methods (DOI: 10.1002/lom3.10573).
Python version 3.8 and R version >4.0. See the 'requirements.txt' file for specific Python package versions used for the analysis.
See Example notebook.ipynb for a demonstration of using the model and example data provided in here. Download this GitHub repository as a '.zip', extract the contents, and open the Jupyter Notebook file. To run the notebook, install the following Python packages: torch (deep learning library), rasterio (geographic data handling), and optionally matplotlib for plotting.
Example of ground truth and predicted lake bathymetry
