https://github.com/jpgiant/land-classification-using-kmeans
Application of KMeans algorithm on a satellite image and identifying its feasibility in land use classification
https://github.com/jpgiant/land-classification-using-kmeans
clustering-algorithm data-science gdal-python geospatial-analysis jupyter-notebook kmeans-clustering machine-learning-algorithms satellite-image-classification sklearn
Last synced: 6 months ago
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Application of KMeans algorithm on a satellite image and identifying its feasibility in land use classification
- Host: GitHub
- URL: https://github.com/jpgiant/land-classification-using-kmeans
- Owner: jpgiant
- Created: 2025-05-06T20:19:50.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-05-06T20:25:52.000Z (7 months ago)
- Last Synced: 2025-05-06T21:29:12.375Z (7 months ago)
- Topics: clustering-algorithm, data-science, gdal-python, geospatial-analysis, jupyter-notebook, kmeans-clustering, machine-learning-algorithms, satellite-image-classification, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 12.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# land-classification-using-kmeans
Application of KMeans algorithm on a satellite image and identifying its feasibility in land use classification. More information can be obtaining by exploring the **notebook.ipynb** file.