Satellite Imagery Analysis in Python

4.7
stars
6 ratings
Offered By
Coursera Project Network
In this Guided Project, you will:

Learn how to use and process earth observation data with Python

Perform spatial analysis with satellite imagery using Python

Derive insights from earth observation data using data science and machine learning techniques

Clock60 minutes
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 1-hour long project-based course, you will learn how to process, visualize and train machine learning model on satellite images in Python. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Machine LearningPython ProgrammingRemote SensingSpatial AnalysisNormalized difference vegetation index

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Opening Satellite Images with Python

  2. Reading Satellite images

  3. Visualizing Satellite Images

  4. Manipulating Satellite Images as Numpy Arrays

  5. Clipping images to Boundaries

  6. Creating your first Vegetation Index

  7. Deriving Statistics from Images

  8. Clustering Satellite Images

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.