Advanced Satellite Data Analysis with Google Earth Engine
3.6 (6 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.
36 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Advanced Satellite Data Analysis with Google Earth Engine to your Wishlist.

Add to Wishlist

Advanced Satellite Data Analysis with Google Earth Engine

Learn visualizing, processing and analyzing big earth observation data on the cloud with Google Earth Engine
3.6 (6 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.
36 students enrolled
Last updated 5/2017
English
Current price: $10 Original price: $200 Discount: 95% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 1 hour on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Download varies satellite data for free.
  • Get an in-depth knowledge of the different satellite sensors.
  • Hands on programming with JavaScript.
  • Process, analyze and download satellite data
  • Classification of satellite data using machine learning algorithms.
  • Knowledge of the various remote sensing products.
  • Applications of satellite data to various specializations.
View Curriculum
Requirements
  • Have a Google Earth Engine user account.
  • Be able to write JavaScript programming language.
Description

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. 

Who is the target audience?
  • GIS professionals
  • Epidemiologists
  • Ecologists
  • Foresters
  • Geographers
  • Anyone who wants to learn to code on Google Earth Engine mAPI to analyze big geospatial data
Students Who Viewed This Course Also Viewed
Curriculum For This Course
8 Lectures
01:04:45
+
1. Earth Engine Up and Running
2 Lectures 15:18

This lecture will provide an overview of the Google Earth Engine cloud computing platform. 

Preview 05:52

Earth Engine Quiz
1 question

This lecture will give a step by step guide on how to sign up for a Google Earth Engine user account.

Sign Up
09:26
+
2. Lets Start Coding on Earth Engine
2 Lectures 15:37

This lecture will give a guide on how to start coding with JavaScript programming language on the the Google Earth Engine Code Editor. You will be able to start writing your first JavaScript program. 

Coding with Earth Engine Part 1
06:06

In this lecture, we will use the Google Earth Engine API to access, process and analyze Landsat satellite data for the United States. 

Preview 09:31
+
3. Earth Engine Data Catalogue
1 Lecture 09:21

In this lecture, we will explore the various data types including satellite images, geophysical, climate and demographic data sets on the Google Earth data library.

Earth Engine Data Catalogue
09:21
+
4. Landsat Satellite
1 Lecture 09:28

In this lecture, we will discuss the Landsat satellite and do a practical lab exercise using JavaScript programs to map Landsat images.

Preview 09:28

Landsat Quiz
1 question
+
5. Sentinel Satellite
1 Lecture 07:31

In this lecture, we will discuss the Sentinel 2 satellite and do a practical lab exercise using JavaScript programs to map Sentinel 2 images.

Sentinel 2
07:31

Setinel 2 Quiz
1 question
+
6. MODIS Instrument on the Aqua and Terra Satellites
1 Lecture 07:30

In this lecture, we will discuss the MODIS instrument and do a practical lab exercise using JavaScript programs to map MODIS images.

MODIS
07:30

MODIS Quiz
1 question
About the Instructor
Dr. Alemayehu Midekisa
3.8 Average rating
118 Reviews
3,981 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.