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Big Geospatial Data Analysis with Google Earth Engine

Master Earth observation data analysis with Remote Sensing, GIS, and Google Earth Engine. Learn powerful visualization techniques and cloud computing skills.

4.2(173)
1,037students
3h 20m
Certificate
Dr. Alemayehu Midekisa
Dr. Alemayehu MidekisaGeospatial Data Scientist

Course Content

Big Geospatial Data Analysis with Google Earth Engine is an all-levels Udemy course taught by Dr. Alemayehu Midekisa. It runs 3h 20m, is taught in English, and includes a certificate of completion. Learners rate it 4.2 out of 5 from 173 reviews, with 1,037 students enrolled. It is a paid course, last updated May 2025.

Unlock the Power of Earth Observation Data with Google Earth Engine!

Ready to dive into the world of big geospatial data analysis? This course will equip you with the skills to access, analyze, and visualize massive Earth observation datasets using the powerful Google Earth Engine.

Learn how to harness the potential of satellite sensors and extract valuable insights from remote sensing data. We'll cover everything you need to know to take your geospatial data science skills to the next level.

What you'll learn:

  • Accessing Satellite Sensors: Discover how to connect to and utilize a wide range of satellite data sources.
  • Visualizing Big Earth Observation Data: Master techniques for effectively visualizing and exploring large geospatial datasets.
  • Extracting Information from Satellite Data: Learn practical methods for extracting meaningful information from satellite imagery.
  • Google Earth Engine (GEE) Fundamentals: Get hands-on experience with the Google Earth Engine cloud platform, a free and open-source environment for geospatial analysis.
  • GIS and Remote Sensing Data Processing: Follow step-by-step video tutorials to process and analyze GIS data and remote sensing data using GEE.
  • Real-World Applications: Explore practical applications of Earth observation data in various fields.

We'll use real-world satellite data, including:

  • Landsat
  • MODIS
  • Sentinel-2
  • and more!

Why choose this course?

  • Cost-Effective: Leverage the Google Earth Engine JavaScript open-source cloud platform – no expensive software required!
  • Hands-on Training: Benefit from practical examples, sample scripts, and real-world case studies.
  • Comprehensive Support: All sample data and scripts are provided as a bonus.
  • Step-by-Step Video Tutorials: Easy-to-follow video tutorials guide you through the entire process.

Stop struggling with high software costs and start analyzing big geospatial data today! Click the enroll button now to begin your journey in remote sensing analysis and Earth observation.

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