Harness Earth Engine

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Harness Earth Engine

This course is part of Satellite Imagery, Remote Sensing & Machine Learning Specialization

Instructor: ansrsource instructors

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

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Shareable certificate

Add to your LinkedIn profile

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This course is part of the Satellite Imagery, Remote Sensing & Machine Learning Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

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.

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.

What's included

2 videos2 readings1 assignment

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.

What's included

1 video2 readings2 assignments

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.

What's included

2 videos2 readings2 assignments

2 videosTotal 9 minutes

Creating an NDVI Time-Series Chart6 minutes
Congratulations and Next Steps 3 minutes

2 readingsTotal 10 minutes

Interpreting NDVI Trends for Reports8 minutes
Stepwise Walkthrough: How to Generate NDVI Trend Chart2 minutes

2 assignmentsTotal 35 minutes

Graded Assessment: NDVI Trend Analysis Task20 minutes
Hands-on Learning: Generate NDVI Trend Chart15 minutes

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Instructor

ansrsource instructors

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200 Courses8,244 learners

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