![]() ![]() Earth Engine is used to access, clean, and reduce large amounts of spatiotemporal data, pandas is used to analyze and organize the results, and Altair is used to visualize the results. It combines a series of technologies, each best suited to a particular task in the data reduction process. ContextĪt the heart of this tutorial is the notion of data reduction and the need to transform data into insights to help inform our understanding of Earth processes and human's role in them. Note that this tutorial uses the Earth Engine Python API in a Colab notebook. Data representation with various Altair chart types.Converting an Earth Engine table to a pandas DataFrame.Transferring an Earth Engine table to a Colab Python kernel.Time series region reduction in Earth Engine.This tutorial provides methods for generating time series data in Earth Engine and visualizing it with the Altair library using drought and vegetation response as an example. ![]()
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December 2022
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