Remote Sensing with Google Earth Engine Crash Course
Remote Sensing with Google Earth Engine Crash Course, available at $19.99, has an average rating of 4.35, with 7 lectures, based on 19 reviews, and has 859 subscribers.
You will learn about Write your first JavaScript program Access the Google Earth Engine cloud computing platform Download Landsat Data Perform image processing using satellite data Apply machine learning algorithm This course is ideal for individuals who are Anyone who wants to lean Google Earth Engine from scratch It is particularly useful for Anyone who wants to lean Google Earth Engine from scratch.
Enroll now: Remote Sensing with Google Earth Engine Crash Course
Summary
Title: Remote Sensing with Google Earth Engine Crash Course
Price: $19.99
Average Rating: 4.35
Number of Lectures: 7
Number of Published Lectures: 7
Number of Curriculum Items: 7
Number of Published Curriculum Objects: 7
Original Price: $29.99
Quality Status: approved
Status: Live
What You Will Learn
- Write your first JavaScript program
- Access the Google Earth Engine cloud computing platform
- Download Landsat Data
- Perform image processing using satellite data
- Apply machine learning algorithm
Who Should Attend
- Anyone who wants to lean Google Earth Engine from scratch
Target Audiences
- Anyone who wants to lean Google Earth Engine from scratch
Do you want to write your first JavaScript program?
Do you want to analyze satellite data on the Google cloud?
Do you want to start a spatial data scientist career?
This course will get you up and running on the Earth Engine JavaScript API. Once you complete this course, you will be able to write your first JavaScript program to access and analyze geospatial data on the cloud.
We will cover topics:
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Get Started with Google Earth Engine.
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Sign Up with Google earth Engine
-
Download Landsat Data
-
Analyze satellite data
-
Apply machine learning algorithm
In this course, I will use the Google Earth Engine JavaScript API. I will help you get started to write your first code on the cloud and you will be able to access and analyze big spatial data. Additionally, I will give you access to all sample data and script.
Spatial data science is one of the hottest topics with high-paying jobs in the geospatial industry. Almost 80% of the data is associated with location which means that companies need spatial data scientist to analyze and generate insight from these locational data.
Are you ready to take your spatial data science career to the next level and start learning new cloud computing skills? What are you waiting for?
Get started with your cloud computing skills and enroll now!
Course Curriculum
Chapter 1: Overview of Earth Engine
Lecture 1: Welcome
Lecture 2: Get Started with Earth Engine
Chapter 2: Sign Up with Earth Engine
Lecture 1: Sing Up with Earth Engine
Chapter 3: Download Landsat Data
Lecture 1: Download Landsat Data
Chapter 4: Mapping Landsat Data
Lecture 1: Map Landsat Images
Chapter 5: Machine Learning with Satellite Data
Lecture 1: Unsupervised Classification: Clustering
Chapter 6: Bonus Lecture
Lecture 1: Bonus Lecture
Instructors
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Dr. Alemayehu Midekisa
Geospatial Data Scientist
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 10 votes
- 5 stars: 6 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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