Harness Earth Engine

Overview

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Harness Earth Engine is a beginner-level course designed for learners who want to explore environmental change using satellite data without managing complex data pipelines. Across a series of focused, hands-on lessons, this course introduces Google Earth Engine as a practical tool for analyzing vegetation patterns at scale. Learners begin by understanding NDVI and its role in environmental monitoring, then progress to working directly with the MODIS NDVI dataset inside Earth Engine. Through guided videos, readings, Coach dialogues, and hands-on practice, learners build skills to load satellite image collections, reduce time-series data into annual summaries, and visualize long-term vegetation trends using charts. The course emphasizes real-world application, preparing learners to create NDVI trend charts suitable for environmental or sustainability reports. By the end of the course, learners will have a clear, repeatable workflow for transforming raw satellite imagery into meaningful, report-ready insights.

Syllabus

Explore NDVI with Google Earth Engine

In this module, you will explore how satellite data can be used to understand vegetation change and why NDVI is a widely trusted indicator in environmental analysis. You will begin by reflecting on how NDVI trends support real-world environmental reporting, then get oriented to Google Earth Engine as a platform for working with large datasets. Through guided examples, you will write your first Earth Engine script to load and visualize the MODIS NDVI collection. By the end of the module, you will be comfortable navigating Earth Engine and working with NDVI data as a foundation for deeper analysis.

Turn NDVI Data into Annual Insights

In this module, you will learn how to transform raw NDVI time-series data into summaries that are easier to interpret and communicate. You will reflect on why raw satellite imagery can be difficult to use in reports and explore how temporal reduction helps reveal meaningful patterns. By the end of the module, you will be able to create annual median NDVI datasets that are ready for trend analysis and visualization.

Visualize NDVI Trends That Tell a Story

This module focuses on turning summarized NDVI data into insights that others can understand and act on. You will reflect on why charts play a critical role in environmental communication and learn how to create NDVI time-series charts in Google Earth Engine. By the end of the module, you will interpret NDVI trends and evaluate whether your chart supports a clear, defensible conclusion for an environmental report.