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Introduction to Google Earth Engine

Learn google earth engine and GIS data with open source cloud computing platform
4.3
4.3/5
(152 reviews)
1,514 students
Created by

9.1

Classbaze Grade®

9.5

Freshness

8.2

Popularity

9.1

Material

Learn to access and analyze Remote Sensing and GIS data with open source cloud computing platform
Platform: Udemy
Video: 1h 12m
Language: English
Next start: On Demand

Best Google Earth classes:

Classbaze Rating

Classbaze Grade®

9.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.5 / 10
This course was last updated on 11/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.2 / 10
We analyzed factors such as the rating (4.3/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.1 / 10
Video Score: 7.7 / 10
The course includes 1h 12m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 1 hours 40 minutes of 6 Google Earth courses on Udemy.
Detail Score: 9.6 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
2 resources.
0 exercise.
0 test.

In this page

About the course

Do you want to learn how to access and analyze geospatial data on the cloud?
Are you interested in writing JavaScript programming to process satellite data?
Do you want to get the next cool GIS technology job which requires new cloud based analytic skills?

Enroll in my new course to master geospatial analysis with Google Earth Engine cloud computing.

I will provide you with hands-on training with example data, sample scripts, and real-world applications.  
By taking this course, you will take your geospatial data science skills to the next level by gaining proficiency in satellite remote sensing and geospatial analysis with Google Earth Engine JavaScript API, a cloud-based Earth observation data visualization analysis by powered by Google.
 
What makes me qualified to teach you?
I am Dr. Alemayehu Midekisa, PhD. I am a geospatial data scientist, instructor and author. I have over 15 plus years of experience in processing and analyzing real big Earth observation data from various sources including Landsat, MODIS, Sentinel-2, SRTM and other remote sensing products.
In this Introduction to Google Earth Engine course, I will help you get up and running on the Google Earth Engine cloud platform to process and analyze geospatial data In the course, we will introduce you to the Google Earth Engine cloud computing platform. Then we will cover a range of topics on Earth Engine including image visualization, image metadata, mathematical operations, filtering image collections, geometric operations, filtering feature collection, plotting histograms and time series charts.
I have designed the course to teach you JavaScript from scratch and no prior programming experience is necessary. I will also provide you with practical exercises so that you will get hands-on experience.
 
One of the common problems with learning image processing is the high cost of software. In this course, I entirely use the Google Earth Engine JavaScript API open source cloud platform. Additionally, I will walk you through a step by step video tutorials to process and analyze Earth observation and geospatial data with GEE. All sample data and script will be provided to you as an added bonus throughout the course.

Jump in right now to enroll. To get started click the enroll button.

What can you learn from this course?

✓ 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
✓ Apply GIS techniques to process and analyze various vector data
✓ Master JavaScript programming language to process Earth observations data

What you need to start the course?

• This course has no requirements.

Who is this course is made for?

• This course is for students who want to learn geospatial 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 big Earth observations data.

Are there coupons or discounts for Introduction to Google Earth Engine ? What is the current price?

The course costs $14.99. And currently there is a 70% discount on the original price of the course, which was $49.99. So you save $35 if you enroll the course now.
The average price is $15.7 of 6 Google Earth courses. So this course is 5% cheaper than the average Google Earth course on Udemy.

Will I be refunded if I'm not satisfied with the Introduction to Google Earth Engine course?

YES, Introduction to Google Earth Engine has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Introduction to Google Earth Engine course, but there is a $35 discount from the original price ($49.99). So the current price is just $14.99.

Who will teach this course? Can I trust Alemayehu Midekisa?

Alemayehu Midekisa has created 21 courses that got 2,115 reviews which are generally positive. Alemayehu Midekisa has taught 18,725 students and received a 4.1 average review out of 2,115 reviews. Depending on the information available, we think that Alemayehu Midekisa is an instructor that you can trust.
Lead Instructor & Geospatial Data Scientist
Dr. Alemayehu Midekisa, PhD is an applied remote sensing scientist with 15 plus years of expertise in big Earth observation data and various methods such as machine learning, time series analysis, deep learning, and cloud computing. He is proficient in different scripting languages including Python, JavaScript, R, and Google Earth Engine. He is a former NASA Earth and Space Science fellow. With global experience in USA, Europe and Africa, his research focus is in the application of multi-sensor remote sensing data utilizing Landsat, VIIRS, Sentinel 2, MODIS, GPM, and SMAP to answer complex environmental problems in land use, water resource, agriculture, and public health.
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9.1

Classbaze Grade®

9.5

Freshness

8.2

Popularity

9.1

Material

Platform: Udemy
Video: 1h 12m
Language: English
Next start: On Demand

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