These notebooks serve as tool for a quick development of Sentinel time lapses. They are not optimized for performance nor is the imagery visually enhanced.
- Windwos 10 (64-bit)
- Python 3.6.3 (Anaconda)
- requests
- json
- PIL
- pyproj
First, the timeseries data is downloaded and stored locally in order to provide easier data manipulation and video fiddling.
Second, the data is loaded into another jupyter notebook script. With a little bit of processing the video is created with openCV and saved locally.
In order to get your own Web Map Service (WMS) instance running (i.e. your own ID), you need to register on https://apps.sentinel-hub.com/configurator/#/ (click on login and then choose "don't have an account yet").
When starting the notebook via command line, add the following option:
jupyter notebook --NotebookApp.iopub_data_rate_limit=1e9