Published October 24, 2024 | Version v1
Computational notebook Open

pytRIBS Example: Newman Canyon, AZ, USA

Description

This repostiory contains a JupyterLab Notebook that documents and end-to-end workflow utilizing pytRIBS in setting up, executing, and analyzing a TIN-based Real-time Integrated Basin Simulator (tRIBS 5.2; Raming et al. 2024) distributed hydrologic modeling simulation. The repostiory contains 3 directories, one for the inital required data (a digital elevation model and canopy height raster from Tolan et al. 2024), one for JupyterLab Notebook assets, and the last one containing the JupyterLab Notebook (newman_demo). In order to use the notebook, users will need to have access to a Python 3 environment and have installed pytRIBS via pip. Users are also encouraged to review tRIBS documentation and pytRIBS documentation

Files

pytRIBS_Newman_Canyon.zip

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Additional details

Software

Programming language
Python, Jupyter Notebook

References

  • Raming, L.W., Vivoni, E.R., Mascaro, G., Cederstrom, C.J., Ko, A., Schreiner-McGraw, P, A., Lizarraga-Celaya, C, 2024. tRIBS v5.2: A multi-resolution, parallel platform for tributary hydrology in forest applications. Journal of Open Source Software 9, 6747. https://doi.org/10.21105/joss.06747
  • Tolan, J., Yang, H.-I., Nosarzewski, B., Couairon, G., Vo, H.V., Brandt, J., Spore, J., Majumdar, S., Haziza, D., Vamaraju, J., Moutakanni, T., Bojanowski, P., Johns, T., White, B., Tiecke, T., Couprie, C., 2024. Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar. Remote Sensing of Environment 300, 113888. https://doi.org/10.1016/j.rse.2023.113888