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Google Earth Engine: The Complete Guide

Category: Tutorials



Google Earth Engine: The Complete Guide
Google Earth Engine: The Complete Guide
Last updated 9/2025
Duration: 5h 4m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 5.12 GB
Genre: eLearning | Language: English


Google Earth Engine for Remote Sensing, GIS and Environmental Monitoring

What you'll learn
- Understand Google Earth Engine fundamentals
- Working with Vector and Raster dataset
- Preprocess satellite imagery
- Work with indices such NDVI, NDWI
- Creating Time Series Chart
- Perform land cover classification
- Creating GIF
- Detect environmental changes
- Visualize and share your Earth Engine App

Requirements
- A computer (no need for high-end or powerful hardware)
- A stable internet connection
- A Google account to access Earth Engine

Description
Do you want to learn how to analyze satellite data without needing coding experience or a powerful computer? This course is designed just for you! Whether you are a beginner with no prior knowledge or a professional looking to upgrade your skills, this course will guide you step by step into the world ofGoogle Earth Engine (GEE).

Google Earth Engine is a cloud-based platform that allows you to process, visualize and analyze massive amounts of satellite data easily. With GEE, you can monitor environmental changes, map land use and land cover, calculate vegetation indices and even create interactive apps — all from your browser.

This course starts from scratch, covering the basics ofremote sensing and GIS, and then gradually moves toward advanced applications such asclassification, change detection, and app development. By the end of this course, you will be confident in using satellite imagery to solve real-world problems.

What You Will Learn

LearnGoogle Earth Engine (GEE)from scratch – no prior knowledge required.

Understand the basics ofRemote Sensing and GIS.

Work with satellite imagery datasets.

Calculate important indices such asNDVI, NDWI, NDBI, etc.

PerformLand Use / Land Cover (LULC) classification.

Detect environmental changes.

Visualize temporal changes withtime series analysis and GIFs.

Buildinteractive web apps and mapsusing GEE.

Who this course is for:
- Students and researchers exploring environmental or geospatial studies
- Professionals working in GIS, remote sensing, or disaster management
- Policymakers and organizations who want to use data-driven insights
- Curious learners from any background who want to gain practical skills in Earth observation
More Info




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