Machine Learning with Big Earth Data in Google Earth Engine
Become an expert in machine learning, big geospatial data & land use land cover in Google Earth Engine
Description
Welcome to the Machine Learning with Big Earth Data in Google Earth Engine course.
This Earth Engine course is without a doubt the most comprehensive course for anyone who wants to apply machine learning using satellite data. Even if you have zero programming experience, this course will take you from beginner to mastery.
Here's why:
The course is taught by an experienced spatial data scientist.
The course has been updated to be 2024-ready and you'll be learning the latest tools available on the cloud.
We've taught over 20,000 students how to code and apply spatial data science and cloud computing.
You will have access to example data and sample scripts.
In this course, we will cover the following topics:
Introduction to Earth Engine JavaScript API
Sign Up with Earth Engine
Create training data for supervised classification
Import Landsat data
Remove clouds from satellite data
Run a supervised classification (machine learning) algorithm
Calculate accuracy assessment
Download land cover classification data
The course includes HD video tutorials. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to apply remote sensing and cloud computing for forest monitoring applications.
So, what are you waiting for? Click the buy now button and join the course.
What You Will Learn!
- Create training data for supervised classification
- Import Landsat data
- Remove clouds from satellite data
- Run supervised classification algorithm
- Calculate accuracy assessment
- Download land cover classification
Who Should Attend!
- Anyone who wants to learn machine learning using remote sensing data.