Python: The Secret Weapon for Analyzing Google Earth Engine Data

Published: 05 October 2025
on channel: Milos Makes Maps

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In this video, we explore the powerful combination of Google Earth Engine and Python programming for advanced land cover analysis, a crucial aspect of earth analytics and earth data science. The tutorial will take you from raw Google satellite embeddings to actionable insights with k-means clustering and clear visualizations. We will cover:

Loading satellite embeddings in Python
Smart sampling strategies for large imagery
K-means clustering with sensible defaults and diagnostics
Visualizing the results on a map for interpretation

Chapters
0:00 Install and import packages
01:03 Setup and Environment Configuration
02:12 Earth Engine: Project Creation
03:05 Earth Engine: Authentication and Initialization
04:39 Selecting Areao of Interest (AOI)
05:00 AOI Definition
05:53 Satellite Embeddings Data Acquisition
06:52 Training Data Generation for Clustering
07:40 K-means Clustering Function
08:49 Interactive Visualization Setup
11:10 Interactive Map Display
11:31 Batch Export and Download
13:25 Multi-Panel Visualization Creation
18:08 Multi-Panel Map Displayed
18:18 Multi-Temporal Data Acquisition
21:13 Cosine Similarity Analysis
24:53 Visualizing Change Analysis
27:19 Change Visualization

🔗 Resources Mentioned:

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