Machine Learning with Remote Sensing in Google Earth Engine

About Machine Learning with Remote Sensing in Google Earth Engine

Do you want to learn how to access, process, and analyze

remote sensing

data using open-source cloud-based platforms? Do you want to master

machine learning

algorithms to predict Earth Observation big data? Do you want to start a spatial data scientist career in the

geospatial

industry?

Enroll in my new course to master

Machine Learning with Remote Sensing in Google Earth Engine. 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 applying

machine learning algorithms

to predict satellite data using an open-source big data analytics tool,

Earth Engine API

, a cloud-based Earth observation data visualization analysis by powered by Google. In this

Machine Learning with Earth Engine API

course, I will help you get up and running on the Google Earth Engine cloud platform. Then you will apply various

machine learning

algorithms including

linear regression, clustering, CART, and random forests

. We will use

Landsat satellite data

to predict land use land cover classification. 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.