The Google Earth Engine Mega Course: Remote Sensing & GIS

Rating 4.17 out of 5 (287 ratings in Udemy)

What you'll learn

Students will access and sign up the Google Earth Engine platform
Download, process and visualize various satellite data including Landsat, MODIS, Sentinel and VIIRS
Apply GIS techniques to process and analyze various vector data
Generate various visualizations including time series and histogram charts from remote sensing data
Export various vector data including KML and CSV files
Export images, charts and videos
Learn to …

Rating 4.17 out of 5 (287 ratings in Udemy)

What you'll learn

Students will access and sign up the Google Earth Engine platform
Download, process and visualize various satellite data including Landsat, MODIS, Sentinel and VIIRS
Apply GIS techniques to process and analyze various vector data
Generate various visualizations including time series and histogram charts from remote sensing data
Export various vector data including KML and CSV files
Export images, charts and videos
Learn to perform various image processing including mosaicking, compositing, zonal statistics, and neighborhood analysis
Classification of satellite data with Machine learning
Master JavaScript programming language to process Earth observations data
Complete a final GIS project on downloading, processing, analyzing and visualizing big data

Description

Welcome to the The Google Earth Engine Mega Course: Remote Sensing & GIS, the only course you need to learn to code and become an Earth Engine expert. With a 4.8 average rating, my Earth Engine course is one of the HIGHEST RATED courses.

At 12+ hours, this Earth Engine course is without a doubt the most comprehensive Google Earth Engine course available online. Even if you have zero programming experience, this course will take you from beginner to mastery.

Here's why:

The course is taught by an experienced spatial data scientist and former NASA fellow.
The course has been updated to be 2021 ready and you'll be learning the latest tools available on the cloud.
The curriculum was developed over a period of four years, with comprehensive student testing and feedback.
We've taught over 16,000 students how to code and apply spatial data science and cloud computing.
The course is constantly updated with new content, with new projects and modules.
You will have access to example data and sample scripts.

In this course we will cover the following topics:

Introduction to Earth Engine JavaScript API
Explore Earth Engine
Sign Up with Earth Engine
Basic JavaScript Syntax
Sources of Earth Observation Data
Landsat Image Visualization
Mathematical Operations with Images
Image Collection Metadata
Filtering Image Collection
Mapping Image Collection
Reducing Image Collections
Earth Engine Feature Collections
Earth Engine Geometries
Geometric Operations
Mapping Feature Collections
Reducing Feature Collections
Raster to Vector Conversion
Vector to Raster Conversion
Time Series Charts
Histograms
Export Images
Image compositing
Image convolutions
Image mosaicing
Satellite data summary
Remote sensing for land cover mapping
Remote sensing for water resources
Remote sensing for forest mapping
Machine learning with satellite data

The course includes over 7 hours of HD video tutorials. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a spatial data scientist and Earth Engine expert.

So, what are you waiting for? Click the buy now button and join the highest-rated Google Earth Engine course.

Duration 12 Hours 58 Minutes

Paid

Self paced

All Levels

English (US)

1753

Rating 4.17 out of 5 (287 ratings in Udemy)

Go to the Course
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