Satellite Data and Cloud Computing with Google Earth Engine
4.3 (9 ratings)
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Satellite Data and Cloud Computing with Google Earth Engine

Learn JavaScript with Google Earth Engine cloud platform for analyzing earth observation and geospatial data
4.3 (9 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
351 students enrolled
Last updated 5/2017
English
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Current price: $10 Original price: $150 Discount: 93% off
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Includes:
  • 36 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Sign up Google Earth Engine
  • Write JavaScript to analyze spatial data
  • Access global scale geospatial data on Google cloud platform
  • Visualize and analyze satellite data
View Curriculum
Requirements
  • No programming experience needed.
  • Students should be comfortable with using computers.
  • Students should sign up for Google Earth Engine.
Description

Want to master new geospatial technology and skills?

Want to learn how to access and analyze geospatial data on the cloud?

Interested in writing JavaScript programming to process satellite data?

Want to get the next cool GIS technology job which requires new cloud based GIS analytic skills?

Bestselling Udemy instructor Dr. Alemayehu Midekisa teaches you the latest technology to master a Google Earth Engine cloud based analytic tool.

This course will teach you:

  • How to sign up for a Google Earth Engine account.
  • How to access geospatial data on the cloud.
  • How to JavaScript program to analyze satellite data.
  • How to visualize GIS layers on the cloud.

I hope you enjoy this course!

Dr. Alemayehu Midekisa


Who is the target audience?
  • This course is for students who want to learn GIS analysis using cloud computing.
  • This course is for students want to access, visualize and analyze geographic data on the cloud.
  • This course is meant for those looking for hands-on experience writing JavaScript programming language to process spatial data.
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Curriculum For This Course
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Google Earth Engine Overview
7 Lectures 36:09

This lecture will give background information on Google Earth Engine. Google Earth Engine is a cloud based platform to access and process global scale spatial data.

Preview 04:40

This lecture will give you a deep dive to the Google Earth Engine platform. 

Explore Google Earth Engine
09:44

This section will give you a step by step guide to the Google Earth Engine API code editor platform in which you will be able to write your own JavaScript codes to process and analyze GIS and satellite data.

Code Editor
01:35

In this exercise you will be able to practice writing JavaScript codes on Google Earth Engine code editor platform to visualize digital elevation model.

Preview 09:54

Programming with Java Script: Part 2
01:42

In this exercise you will be able to practice writing Javascript codes on Google Earth Engine code editor platform to customize map visualization.

Programming with JavaScript: Part 3
03:18

In this exercise you will be able to practice writing Javascript codes on Google Earth Engine code editor platform to add image collection using ID, filter images by date and run statistical algorithm to composite images and finally visualize maps.

Programming with JavaScript: Part 4
05:16
About the Instructor
Dr. Alemayehu Midekisa
3.2 Average rating
111 Reviews
3,960 Students
4 Courses
Researcher, Teacher, Entrepreneur

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.

His research work in the application of geographic information science has been published in various scientific journals. He has presented his research findings in various scientific meetings including the American Geophysical Union, Association of American Geographers, American Tropical and Hygiene and Medicine, and NASA Science Team Meetings. He teaches online courses in various themes including geospatial science and technology. He is also the founder of Nile Geospatial.