Big Geospatial Data Analysis with Google Earth Engine

Big Geospatial Data Analysis with Google Earth Engine

Do you want to access satellite sensors?

Do you want to visualize big Earth observation Remote Sensing GIS data?

Do you want extract information from satellite sensors?

 

Enroll in my new course to Big Geospatial Data Analysis with Google Earth Engine.

I will provide you with hands-on training with example GIS and Remote Sensing 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 accessing satellite sensors, visualize big Earth observation data and extract information from satellite data.

  

In this Big Geospatial Data Analysis with Google Earth Engine course, I will help you get up and running on the Earth Engine cloud platform access satellites, visualize big data and extract information from satellites.

By the end of this course, you will be equipped with a set of new skills including accessing, downloading, visualizing big data, and extracting information.

In this course, I will use real satellite data including Landsat, MODIS, Sentinel-2, and others to provide you a hands-on practical experience of working with Earth observation data.

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 open source cloud platform. Additionally, I will walk you through using a step by step video tutorials to process and analyze GIS and Remote Sensing 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.

Learn to analyze, visualize big Earth observation data, Remote Sensing, GIS, Google Earth Engine Cloud Computing

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What you will learn

• Download varies satellite data for free
• Students will access and sign up the Google Earth Engine platform
• Apply Remote Sensing and GIS techniques to process and analyze various vector data

Rating: 3.85

Level: All Levels

Duration: 3.5 hours

Instructor: Dr. Alemayehu M.