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Visualize time series obtained from Google Earth Engine and run pyccd on them.

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tstools-online

Visualize time series obtained from Google Earth Engine and run pyccd on them.

In order to use the Google Earth Engine API you need to have an active account. Check the installation instructions to set up the environment and authentication credentials.

Widget and map interaction should work right away with a classic jupyter notebook. To enable appmode, run:

jupyter nbextension     enable --py --sys-prefix appmode
jupyter serverextension enable --py --sys-prefix appmode

In order to use them with a JupyterLab notebook, three extensions are required. They can be installed with the commands below.

jupyter labextension install jupyter-leaflet
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install bqplot

This repo has similar requirements to the measures_collection, so if you created a conda environment using that project's requirements file, you don't need to create a new one.

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Visualize time series obtained from Google Earth Engine and run pyccd on them.

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