Do you want to learn how to access and analyze geospatial data on the cloud?

Are you interested in writing JavaScript programmingto process satellite data?

Do you want to get the next cool GIS technology job which 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 by powered by Google.

In thisIntroduction 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 learningimage 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 script 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.