Introduction to Google Earth Engine
What you'll 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
- Apply GIS techniques to process and analyze various vector data
- Master JavaScript programming language to process Earth observations data
Requirements
- This course has no requirements.
Description
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 that 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 powered by Google.
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 scripts 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.
Who this course is 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.
Instructor
- 3.9 Instructor Rating
- 2,605 Reviews
- 21,165 Students
- 23 Courses
Dr. Alemayehu Midekisa is a geospatial data scientist with over 15 years of professional experience in academia and industry. His research focus is on leveraging geospatial AI, big Earth observation data, and cloud computing to monitor environmental changes. Dr. Midekisa is particularly interested in applying machine learning models, large-scale remote sensing data, and cloud computing such as Google Earth Engine to quantify land surface changes including land cover changes, urbanization trends, disease outbreaks, and surface water dynamics.