worldstrat/worldstrat
The WorldStrat Dataset
This project offers a comprehensive dataset of nearly 10,000 km² of high-resolution satellite imagery, paired with lower-resolution Sentinel-2 images from the same locations and times. It provides tools to explore, extend, and even generate high-resolution images from lower-resolution inputs using machine learning. This is ideal for researchers and practitioners in remote sensing, environmental monitoring, or humanitarian mapping who need diverse, high-quality satellite data.
276 stars. No commits in the last 6 months.
Use this if you need a large, globally stratified dataset of satellite imagery, or if you want to develop and test machine learning models for tasks like super-resolution on satellite data.
Not ideal if you're looking for real-time satellite data analysis or if your work does not involve image processing or machine learning applications.
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276
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31
Language
Jupyter Notebook
License
BSD-3-Clause
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Last pushed
Mar 02, 2024
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