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Machine learning-based system for analyzing Northern Hemisphere snow cover data with high accuracy.

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AsanoSaki/MODIS-FSC-Retrieval-System

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MODIS FSC Retrieval System

Environment

  • Python 3.9
  • PyTorch 1.13.0
  • Streamlit 1.21.0
  • PyMySQL 1.0.3
  • NumPy 1.21.5
  • Pandas 1.5.3
  • Scikit-Learn 1.1.3
  • Rasterio 1.2.10
  • Rioxarray 0.13.4
  • Plotly 5.13.1

Database

  • User: root
  • Password: root
  • Database Name: modis
  • Table Name: users
    • username (varchar, key, not null)
    • password (varchar)

Instructions

  • Run img2csv.py can convert images to CSV files.
  • Run train_nn.py can train neural network model.
  • Run train_regressors.py can train scikit-learn regressor models.
  • Use streamlit run app.py console command can launch Streamlit web server.

Author's Information

  • Yujie Yi, Lanzhou University of Technology.
  • Links: Github | BLOG | CSDN

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Machine learning-based system for analyzing Northern Hemisphere snow cover data with high accuracy.

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