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RuiGao9/README.md

Rui Gao

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Rui obtained his Ph.D. degree from Utah State University in 2023. His dissertation focused on utilizing high-resolution imagery from small unmanned aerial systems, combined with eddy-covariance flux tower data and field labor measurements, to assess plant water status and stress in California vineyards. With a master’s degree in hydrology emphasizing watershed-scale processes, he remains passionate about applying both physical and data-driven approaches to tackle real-world environmental challenges across different spatial scales. While science and technology deeply fascinate him, it is the people behind them, their perspectives on the environment, agriculture, and sustainability, that inspire him the most.
Check my current website here to learn more!

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  1. pyDTO pyDTO Public

    Fast, Python-based calculation of distances to the California coastline, terrestrial borders, and latitudinal extremes.

    Jupyter Notebook

  2. met_gfit met_gfit Public

    10 statistics are included. What you need to provide are two vectors: label column and prediction column.

    Jupyter Notebook 1

  3. pyETo pyETo Public

    A Python package for calculating reference crop evapotranspiration (ETo).

    Python

  4. openet_download openet_download Public

    Downloading OpenET data based on coordinates.

    Jupyter Notebook

  5. flux-footprint-py flux-footprint-py Public

    Using the Kljun footprint model to generate footprint/footprints.

    Python

  6. RuiGao9.github.io RuiGao9.github.io Public

    HTML