Machine Learning with Remote Sensing in Google Earth Engine

Learn to apply machine learning, remote sensing, big spatial data using the Google Earth Engine cloud computing

3.50 (81 reviews)
Udemy
platform
English
language
Data Science
category
384
students
1.5 hours
content
Mar 2024
last update
$44.99
regular price

What you will learn

Learn to learn applying machine learning algorithms using satellite data

Learn processing analyzing large volume of remotely sensed satellite data with the Earth Engine API

Learn to collect reference training data for image classification

Learn to remove clouds from Landsat imageries

Learn to calculate multi-spectral indices with satellite bands

Learn to assess the accuracy of classification

Description

Do you want to learn how to access, process, and analyze remote sensing data using open-source cloud-based platforms?

Do you want to master machine learning algorithms to predict Earth Observation big data?

Do you want to start a spatial data scientist career in the geospatial industry?

 

Enroll in my new course to master Machine Learning with Remote Sensing in Google Earth Engine.

 

I will provide you with hands-on training with example data, sample scripts, and real-world applications.  

By taking this course, you will take your geospatial data science skills to the next level by gaining proficiency in applying machine learning algorithms to predict satellite data using an open-source big data analytics tool, Earth Engine API, a cloud-based Earth observation data visualization analysis by powered by Google.


In this Machine Learning with Earth Engine API course, I will help you get up and running on the Google Earth Engine cloud platform. Then you will apply various machine learning algorithms including linear regression, clustering, CART, and random forests. We will use Landsat satellite data to predict land use land cover classification. All sample data and scripts will be provided to you as an added bonus throughout the course.

 

Jump in right now to enroll. To get started click the enroll button.

Content

Get Started with Earth Engine API

Introduction to Earth Engine
Explore Earth Engine
Sign Up

Code Editor

Code Editor
JavaScript Syntax

Linear Regression

Linear Regression
Assignment: Linear Regression

Clustering

Clustering
Assignment: Clustering

Training Data

Training Data

CART

CART
Assignment: CART

Random Forests

Random Forests

Final Project

Final Project

Bonus

Bonus Lecture

Screenshots

Machine Learning with Remote Sensing in Google Earth Engine - Screenshot_01Machine Learning with Remote Sensing in Google Earth Engine - Screenshot_02Machine Learning with Remote Sensing in Google Earth Engine - Screenshot_03Machine Learning with Remote Sensing in Google Earth Engine - Screenshot_04

Reviews

Jeff
August 28, 2022
Code is outdated (i.e. fusion tables, CART classifier, etc). Poor or no explanation of contents or how imagery files are constructed. not worth it and Udemy should remove the course.
Loukili
August 2, 2022
The machine learning features used in the course are no longer available. he has to redo the course. here are the errors i got when i tried to test the scripts: ConfusionMatrix (Error) Classifier.cart: This classifier has been removed. For more information see: http://goo.gle/deprecated-classifiers. ConfusionMatrix (Error) Classifier.randomForest: This classifier has been replaced. For more information see: http://goo.gle/deprecated-classifiers. Number (Error) Classifier.randomForest: This classifier has been replaced. For more information see: http://goo.gle/deprecated-classifiers.
Brinda
July 12, 2022
so far it's good. I am very new to the concept of google earth engine ,hoping to get more clarity by the end of the course
Desmond
May 31, 2022
it was generally good, just a lot of repetition and explanatory lines of codes. It should also be reviewed if APIs are deprecated.
Bhavik
May 22, 2020
Yes so far this is meeting to my expectation. But there are couple of things that worries me like the interface of Google Earth Engine that course provider is using is not matching with the interface that i am using. And i have submitted my request to Google Earth Engine for an account 8 days ago and still awaiting the confirmation.
Shiva
May 8, 2020
I could not understand timestamp. So could you please elaborate about it in Detail? Also I need ensemble of all these algorithms.
Udit
April 11, 2020
I enjoyed this course, this course is very interesting who have the interest to work on the code platform for learning the satellite data handling and perform the study of optical remote sensing for classification.
Bruno
March 29, 2020
Most of the contents are outdated and mostly because of that I couldn't complete the final project. The course should be longer to explain better each section. Big gap between Section 2, "Code Editor" and Section 3, "Linear Regression"
Amna
February 15, 2020
very informative. would recommend both researchers and professionals in order to understand Earth Engine.
Ivan
January 27, 2020
I found it very Fast... I would have liked to understand better the predictors of the classifiers and to have applied the algorithms beyond simply changing a value in the script. It also does not explain what are the advantages/disadvantages of each of the classifiers.
Javier
September 24, 2019
The course is well structured. The examples provide a useful guide to further study the subjects covered.

Coupons

DateDiscountStatus
11/15/202181% OFF
expired

Charts

Price

Machine Learning with Remote Sensing in Google Earth Engine - Price chart

Rating

Machine Learning with Remote Sensing in Google Earth Engine - Ratings chart

Enrollment distribution

Machine Learning with Remote Sensing in Google Earth Engine - Distribution chart
1936792
udemy ID
9/28/2018
course created date
2/8/2020
course indexed date
Bot
course submited by