The SentinelHubTimelapse class allows automatic creation of time-lapses using our sentinelhub and s2cloudless python packages.
The class allows creation of GIF and AVI videos, given a bounding box and a time interval. Sentinel-Hub's cloud detection classifier is used to filter cloudy images out of the time-lapse.
The package requires the following Python packages: (versions listed are the versions that we have used):
- sentinelhub version
2.3.0 - s2cloudless version
1.1.0 - opencv-python version
3.4.0.14 - numpy version
1.13.3 - scipy version
0.19.0 - matplotlib version
2.1.0 - Pillow version
5.0.0 - imageio version
2.2.0
Examples of how to automatically create time-lapses are provided in the SentinelHubTimelapseExamples Jupyter notebook.
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