The Google Earth Engine Mega Course: Remote Sensing & GIS faq

star-rating
4.1
learnersLearners: 2,352
instructor Instructor: Spatial eLearningDr. Alemayehu Midekisa instructor-icon
duration Duration: duration-icon

This Google Earth Engine Mega Course: Remote Sensing & GIS is the only course you need to learn to code and become an Earth Engine expert. With a 4.8 average rating, it is one of the highest-rated courses. Over 12 hours of HD video tutorials, this comprehensive course will take you from beginner to mastery, even if you have zero programming experience. Taught by an experienced spatial data scientist and former NASA fellow, the course is updated to be 2023-ready and covers topics such as Landsat Image Visualization, Image Collection Metadata, Mapping Feature Collections, Raster to Vector Conversion, and more. Join the highest-rated Google Earth Engine course and become an Earth Engine expert today!

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2023-06-11

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 25th, 2023]

This Google Earth Engine Mega Course: Remote Sensing & GIS is the only course needed to learn to code and become an Earth Engine expert. With an average rating of 4.8, it is one of the highest-rated courses available online. At 12+ hours, this course is the most comprehensive Google Earth Engine course available. Even those with no programming experience can take this course and go from beginner to mastery. The course is taught by an experienced spatial data scientist and former NASA fellow, and has been updated to be 2023-ready. The curriculum was developed over four years, with comprehensive student testing and feedback. Over 20,000 students have been taught how to code and apply spatial data science and cloud computing. The course is constantly updated with new content, projects, and modules, and includes example data and sample scripts. Topics covered include: 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, and Machine learning with satellite data. The course includes over 12 hours of HD video tutorials, taking students step-by-step through engaging video tutorials and teaching them everything they need to know to succeed as a spatial data scientist and Earth Engine expert. Click the buy now button and join the highest-rated Google Earth Engine course.

Course Syllabus

Explore Earth Engine API

Earth Engine Code Editor

Images

Geospatial Data Sources

Image Collections

Vector Calculations

Explore Reducers

Visualization of Geospatial Data

Export Geospatial Data

Digital Image Processing

Satellite Data Summary

Land Use Land Cover Products

Water Resources Application

Public Health Application: Human Population

Public Health Application: Forest Fire Mapping

Public Health Application: Air Pollution

Forest Application: Global Forest Cover Mapping

Forest Application: National Forest Cover Mapping

Forest Application: Other Forest Indices

Machine Learning: Unsupervised Classification

Machine Learning: Training Data

Machine Learning: Supervised Classification (CART)

Machine Learning: Supervised Classification (Random Forest)

Final Project

Bonus Lectures

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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faq FAQ for Google Earth Engine Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 2352 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Google Earth Engine courses and certifications, our extensive collection at azclass.net will help you.

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