Top 5 Jupyter Notebook satellite-imagery Projects
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geospatial-data-catalogs
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
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Awesome_Satellite_Benchmark_Datasets
Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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ml-earth-observation-101
An introduction to applying machine learning to satellite imagery (remote sensing).
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SaaSHub
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Project mention: Satellite Cloud Generator: A tool to generate clouds for satellite images | news.ycombinator.com | 2023-08-24
Project mention: A sneak-peak Jupyter Notebook lesson on machine learning applied to Earth observation | /r/learnmachinelearning | 2023-07-14
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Index
What are some of the best open-source satellite-imagery projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | geospatial-data-catalogs | 482 |
| 2 | Awesome_Satellite_Benchmark_Datasets | 284 |
| 3 | SatelliteCloudGenerator | 97 |
| 4 | ml4eo-bootcamp-2021 | 87 |
| 5 | ml-earth-observation-101 | 1 |
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