Google Earth Engine for Machine Learning & Change Detection faq

star-rating
4.1
learnersLearners: 3,416
instructor Instructor: Kate AlisonGeorg Müller instructor-icon
duration Duration: duration-icon

This course is designed to take users who use GIS for basic geospatial data/GIS/Remote Sensing analysis to the next level. Learn how to use Google Earth Engine for land use and land cover (LULC) mapping and change detection. With this course, you will gain the practical knowledge of unsupervised and supervised classification strategies for LULC mapping, and be able to apply advanced Geospatial analysis and Machine Learning algorithms. You will also learn how to acquire satellite data, assess the accuracy of your map, and design a beautiful change map. This course is ideal for professionals such as geographers, programmers, social scientists, geologists, and all other experts who need to use LULC maps in their field. With the practical exercises, you will gain the confidence to understand and solve geospatial problems. Don't miss out on this opportunity to improve your GIS and Remote Sensing skills and knowledge of the cutting edge LULC techniques.

ADVERTISEMENT

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:

2022-11-11

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 course is designed to take users who use GIS for basic geospatial data/GIS/Remote Sensing analysis to the next level by introducing them to the exciting capabilities of Google Earth Engine. Through this course, users will learn how to use Machine Learning algorithms for land use and land cover (LULC) mapping and change detection. By the end of the course, users will be proficient in unsupervised and supervised classification strategies for LULC mapping, spectral indices calculation, and change detection. They will also gain an understanding of the practical aspects of GIS and Remote Sensing, such as acquiring satellite data, assessing the accuracy of their map, and designing a beautiful change map. This course is ideal for professionals such as geographers, programmers, social scientists, geologists, and all other experts who need to use LULC maps in their field. Through practical exercises, users will be given precise instructions, codes, and datasets to create LULC maps and change maps using Google Earth Engine. Downloadable materials will also be provided to teach users how to sign in to Google Earth Engine.

Course Syllabus

Introduction

Getting started with Google Earth Engine & EO browser

Basics of Jave Scrips for Google Earth Engine and first steps in image analysis

Theory: on Machine Learning and Image CLassification

Unsupervised (K-means) image analysis in Google Earth Engine

Supervised image analysis in Google Earth Engine

Introduction to change detection in Google Earth Engine

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Google Earth Engine for Machine Learning & Change Detection

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 3416 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.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.