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Big Geospatial Data Analysis with Google Earth Engine

Dr. Alemayehu Midekisa, Geospatial Scientist and Instructor

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9 Videos (1h 7m)
    • Introduction

    • Earth Engine Up and Running

    • Coding on Earth Engine

    • Code Editor

    • Lab 1: Earth Engine

    • Landsat Satellite

    • Lab 2: Earth Engine

    • Sentinel Data

    • MODIS Data


About This Class

This course provides both theoretical knowledge and practical skills in Advanced Satellite Data Analysis with Google Earth Engine. In this course, you will be given hands on practical exercises to master analyzing big geospatial data on the cloud. You will learn to access, process and analyze satellite data including Landsat, MODIS, and Sentinel and others using an open source platform. You will also learn to classify satellite images using machine learning algorithms. You will also have access to the lab exercise scripts as part of this course. 






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Dr. Alemayehu Midekisa

Geospatial Scientist and Instructor

Dr. Alemayehu Midekisa (PhD) is a research scientist at the University of California San Francisco. He has a Master of Science degree in GIS and Remote Sensing and a PhD in Geospatial Science & Engineering. Dr. Midekisa is also the recipient of the prestigious NASA Earth and Space Science Fellowship and various other awards. He has over 10 years of experience applying geospatial science and technologies in various applications including public health, agriculture, and natural resources.


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