https://github.com/mallickboy/land-slide-prediction
📌 Landslide Detection with Satellite Imagery & Machine Learning . The CNN model trained on multi-channel satellite images. Achieved 89.2% F1-score by using NDVI, slope, and elevation features. Optimized model accuracy through hyperparameter tuning and threshold adjustments.
https://github.com/mallickboy/land-slide-prediction
cnn data-analysis-python data-visualization deep-learning hdf5-format keras-tensorflow machine-learning tensorflow
Last synced: 7 months ago
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📌 Landslide Detection with Satellite Imagery & Machine Learning . The CNN model trained on multi-channel satellite images. Achieved 89.2% F1-score by using NDVI, slope, and elevation features. Optimized model accuracy through hyperparameter tuning and threshold adjustments.
- Host: GitHub
- URL: https://github.com/mallickboy/land-slide-prediction
- Owner: mallickboy
- Created: 2025-01-30T18:25:45.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-01-31T13:26:38.000Z (9 months ago)
- Last Synced: 2025-04-04T08:03:03.285Z (7 months ago)
- Topics: cnn, data-analysis-python, data-visualization, deep-learning, hdf5-format, keras-tensorflow, machine-learning, tensorflow
- Language: Jupyter Notebook
- Homepage: https://colab.research.google.com/github/mallickboy/land-slide-prediction/blob/main/code_for_google_colab.ipynb
- Size: 2.94 GB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md