https://github.com/artefactory/medium_satellite_imagery

https://github.com/artefactory/medium_satellite_imagery

Last synced: 4 days ago
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• Host: GitHub
• URL: https://github.com/artefactory/medium_satellite_imagery
• Owner: artefactory
• License: agpl-3.0
• Created: 2021-05-03T15:01:39.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2022-02-14T10:08:36.000Z (over 2 years ago)
• Last Synced: 2024-03-15T22:56:08.617Z (8 months ago)
• Language: Jupyter Notebook
• Size: 715 KB
• Stars: 12
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Medium Satellite Imagery 

This repository is meant to allow reproducibility of the steps provided in an [article on 

preprocessing satellite imagery for machine learning application](https://medium.com/artefact-engineering-and-data-science/leveraging-satellite-imagery-for-machine-learning-computer-vision-applications-d22143f72d94) 

showcased in the [Artefact tech medium](https://medium.com/artefact-engineering-and-data-science)

 

 

All the code is included in `notebooks/preprocessing_satellite_imagery.ipynb`

Before running the notebook, do the following steps first:

- run `pip install requirements.txt`

- create a geojson file of the zone you want a satellite imagery of and save it in `data/target_zone.geojson`

- create an account at [Coppernicus Open Access Hub](https://scihub.copernicus.eu/dhus/#/home). 

Write the username and the password in a json file and save it in `secrets/sentinel_api_credentials.json`.

Format: `{"username": "XXXX", "password": "XXXX"}`