Complete Google Earth Engine for Remote Sensing & GIS from Udemy

Are you currently enrolled in any of my GIS and remote sensing related courses?

Or perhaps you have prior experience in GIS or tools like R and QGIS?

You don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis?

The next step for you is to gain proficiency in satellite remote sensing data analysis and GIS using GEE, a cloud based endeavor by Google that can help process several petra-byte of imagery data

My course provides a foundation to carry out By taking this course, you are taking an important step forward in your GIS journey to become an expert in geospatial analysis.

Why Should You Take My Course?

I am an Oxford University MPhil (Geography and Environment) graduate. I also completed a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life spatial remote sensing data from different sources and producing publications for international peer reviewed journals.

In this course, actual satellite remote sensing data such as Landsat from USGS and radar data from JAXA will be used to give a practical hands-on experience of working with remote sensing and understanding what kind of questions remote sensing can help us answer.

This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis.

Remote sensing software tools are very expensive, and their cost can run into thousands of dollars. Instead of shelling out so much money or procuring pirated copies (which puts you at arisk of prosecution), you will learn to carry out some of the most important and common remote sensing analysis tasks using one of the most powerful earth observation data and analysis platform. GEE is rapidly demonstrating its importance in the geo-spatial sector and improving your skills in GEE will give you an edge over other job applicants..

This is a fairly comprehensive course, i.e. we will focus on learning the most important and widely encountered remote sensing data processing and and GIS analysis techniques in Google Earth Engine

You will also learn about the different sources of remote sensing data there are and how to obtain these

In addition to all the above, you’ll have

ENROLL NOW :)

What's inside

Learning objectives

Students will gain access to and a thorough knowledge of the google earth engine platform
Carry out pre-processing and processing of satellite data in the cloud
Implement some of the most common gis techniques on satellite data

Implement time series analysis of multi-temporal optical data
Implement machine learning algorithms on satellite data
Gain proficiency in javascript for satellite data processing

Students will gain access to and a thorough knowledge of the google earth engine platform
Carry out pre-processing and processing of satellite data in the cloud
Implement some of the most common gis techniques on satellite data
Implement time series analysis of multi-temporal optical data
Implement machine learning algorithms on satellite data
Gain proficiency in javascript for satellite data processing

Syllabus

(a) What is Google Earth Engine? (b) Introduction to the interface of GEE (c) Introduction to the course and instructor

What is Google Earth Engine?

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches the Google Earth Engine software, which is widely used in remote sensing

Taught by Minerva Singh, who is a qualified instructor in the domain of GIS, remote sensing, and earth observation

Provides understanding and skills in the processing of high-resolution satellite data

Introduces techniques for implementing time series analysis and machine learning algorithms on satellite data

Helps learners gain proficiency in JavaScript for satellite data processing

Emphasizes hands-on learning through detailed tutorials and exercises

Reviews summary

Foundational google earth engine for geospatial analysis

According to learners, this course offers a strong foundation in Google Earth Engine for remote sensing and GIS. Students consistently praise the instructor's clear explanations, deep knowledge, and passion for the subject. The course provides invaluable hands-on experience with real satellite data and practical coding examples, making it directly applicable to professional work and research. While generally well-received, some learners noted that a basic understanding of JavaScript is beneficial, as the pace can be challenging for complete programming beginners. Overall, it's considered an exceptional value for those in geospatial analysis seeking to master GEE.

Covers a wide range of essential GEE topics effectively.

"The course covers a wide range of topics from basic data manipulation to advanced classification."

"It's truly 'complete' as stated in the title for getting started with GEE."

"As someone with a strong GIS background but new to GEE, this course was perfect."

"It bridged the gap between traditional GIS software and cloud-based platforms."

Focuses on hands-on coding with real-world data.

"The practical examples using Landsat and other real data sources are invaluable."

"The hands-on coding and projects are the strongest part of the course for me."

"I learned a ton about GEE and JavaScript. Very practical and directly applicable to my work."

"This course definitely provides a strong foundation for GEE."

Instructor is knowledgeable, clear, and highly responsive.

"The instructor is very clear, knowledgeable, and the hands-on exercises are excellent."

"The instructor breaks down complex topics well."

"The instructor's expertise shines through, making even complex operations understandable."

"I appreciated the instructor's responsiveness to questions in the Q&A."

Pace can be fast, especially for programming novices.

"Some sections felt a bit rushed, and I wished there were more advanced examples..."

"The pace can be fast at times."

"The presentation could be improved... the pace was a bit too fast for me to follow without constantly pausing."

Requires some prior JavaScript knowledge for smoother learning.

"I found the JavaScript part to be a bit challenging as a complete beginner to programming."

"It assumes some basic coding knowledge. If you're new to JavaScript, be prepared to do some external learning."

"I think it's better for those who have some prior coding experience. Newcomers to JavaScript might struggle."

"For a true beginner, it felt overwhelming at times."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Complete Google Earth Engine for Remote Sensing & GIS with these activities:

Practice basic JavaScript

Show steps

Helps you familiarize yourself with the programming language required for this course

Browse courses on JavaScript

Show steps

Complete tutorial on basic JavaScript syntax
Practice writing simple JavaScript programs

Organize and Review Course Materials

Show steps

Enhance your understanding by organizing and reviewing course materials, including notes, assignments, and quizzes, to consolidate your knowledge.

Show steps

Gather and organize course materials
Review and summarize the key concepts and techniques

Explore GEE Tutorials and Documentation

Show steps

Familiarize yourself with the GEE platform by exploring official tutorials and documentation to enhance your understanding of its capabilities.

Show steps

Visit the GEE website and explore the available tutorials
Review the GEE documentation to understand the API and its functionality

Six other activities

Expand to see all activities and additional details

Show all nine activities

Practice Raster Processing Techniques

Show steps

Sharpen your skills in raster operations, band arithmetic, and thresholding to enhance your understanding of image processing in GEE.

Browse courses on Image Analysis

Show steps

Implement band arithmetic operations on raster data
Apply thresholding techniques to extract specific information from raster bands
Resample raster data to change its resolution

Participate in a GEE Challenge

Show steps

Test your GEE skills and learn from others by participating in a GEE challenge or competition.

Show steps

Identify a GEE challenge or competition that aligns with your interests
Develop and submit a solution using GEE

Create a GEE Time Series Analysis

Show steps

Demonstrate your ability to analyze temporal changes in satellite data by creating a time series analysis in GEE.

Browse courses on Time Series Analysis

Show steps

Load and visualize multi-temporal optical data
Extract time series data for a specific location
Plot the time series data and analyze trends

Develop a GEE-Based Satellite Data Analysis Project

Show steps

Deepen your understanding of GEE and satellite data analysis by undertaking a project that addresses a specific research question or application.

Show steps

Identify a topic or problem that interests you
Design and implement a GEE-based solution to address the topic or problem

Practice image classification techniques

Show steps

Helps you develop proficiency in applying image classification techniques to satellite data

Browse courses on Image Classification

Show steps

Review different image classification algorithms
Practice applying supervised and unsupervised classification algorithms
Evaluate the accuracy of classification results

Develop a GEE-Based Forest Loss Monitoring System

Show steps

Apply your GEE skills to a real-world problem by developing a system for monitoring forest loss using satellite data.

Browse courses on Environmental Monitoring

Show steps

Acquire and preprocess Landsat data for the study area
Implement forest loss detection algorithms in GEE
Generate and visualize forest loss maps

Career center

Learners who complete Complete Google Earth Engine for Remote Sensing & GIS will develop knowledge and skills that may be useful to these careers:

Remote Sensing Scientist

Remote Sensing Scientists use satellite and aerial imagery to study the Earth's surface. They work in a variety of industries, including environmental science, agriculture, and natural resource management. This course may be useful in providing a foundation in remote sensing and GIS techniques, which are essential for Remote Sensing Scientists.

See salaries and explore the career path for Remote Sensing Scientist

Cartographer

Cartographers create maps and other graphic representations of geographic data. They work in a variety of industries, including government, business, and academia. This course may be useful in providing a foundation in remote sensing and GIS techniques, which are essential for Cartographers.

See salaries and explore the career path for Cartographer

GIS Analyst

GIS Analysts use geographic information systems (GIS) to create and analyze maps and other spatial data. They work in a variety of industries, including government, business, and academia. This course may be useful in providing a foundation in remote sensing and GIS techniques, which are essential for GIS Analysts.

See salaries and explore the career path for GIS Analyst

Conservation Scientist

Conservation Scientists study the conservation of natural resources and ecosystems. They work in a variety of industries, including government, non-profit organizations, and private companies. This course may be useful in providing a foundation in remote sensing and GIS techniques, which can be used to monitor and manage wildlife populations and habitats.

See salaries and explore the career path for Conservation Scientist

Natural Resources Manager

Natural Resources Managers plan and oversee the use and conservation of natural resources, such as forests, water, and minerals. They work in a variety of industries, including government, non-profit organizations, and private companies. This course may be useful in providing a foundation in remote sensing and GIS techniques, which can be used to monitor and manage natural resources.

See salaries and explore the career path for Natural Resources Manager

Geomatics Technician

Geomatics Technicians use specialized equipment and software to collect, analyze, and interpret spatial data. They work in a variety of industries, including surveying, mapping, and construction. This course may be useful in providing a foundation in remote sensing and GIS techniques, which are essential for Geomatics Technicians.

See salaries and explore the career path for Geomatics Technician

Urban Planner

Urban Planners design and plan the use of land in urban areas. They work with government agencies, developers, and community groups to create plans that promote sustainable growth and development. This course may be useful in providing a foundation in remote sensing and GIS techniques, which can be used to analyze land use patterns and plan for future development.

See salaries and explore the career path for Urban Planner

Hydrologist

Hydrologists study the movement and distribution of water on the Earth's surface and subsurface. They work in a variety of industries, including government, non-profit organizations, and private companies. This course may be useful in providing a foundation in remote sensing and GIS techniques, which can be used to study water resources and manage water quality.

See salaries and explore the career path for Hydrologist

Geologist

Geologists study the Earth's physical features and history. They work in a variety of industries, including mining, oil and gas exploration, and environmental science. This course may be useful in providing a foundation in remote sensing and GIS techniques, which can be used to study the Earth's surface and subsurface.

See salaries and explore the career path for Geologist

Machine Learning Engineer

Machine Learning Engineers design and build machine learning models. They work in a variety of industries, including technology, finance, and healthcare. This course may be useful in providing a foundation in machine learning and data analysis techniques, which are essential for Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve business problems. They work in a variety of industries, including technology, finance, and healthcare. This course may be useful in providing a foundation in machine learning and data analysis techniques, which are essential for Data Scientists.

See salaries and explore the career path for Data Scientist

Computer Scientist

Computer Scientists research and develop new computer technologies. They work in a variety of industries, including technology, finance, and healthcare. This course may be useful in providing a foundation in JavaScript, which is a programming language used to develop computer applications.

See salaries and explore the career path for Computer Scientist

Web Developer

Web Developers design and develop websites. They work in a variety of industries, including government, business, and academia. This course may be useful in providing a foundation in JavaScript, which is a programming language used to create interactive web applications.

See salaries and explore the career path for Web Developer

Software Engineer

Software Engineers design and develop software applications. They work in a variety of industries, including technology, finance, and healthcare. This course may be useful in providing a foundation in JavaScript, which is a programming language used to develop software applications.

See salaries and explore the career path for Software Engineer

Environmental Scientist

Environmental Scientists conduct research to identify, understand, and mitigate environmental problems. They analyze environmental data and develop strategies to protect human health and natural resources. This course may be useful in providing a foundation in remote sensing and GIS techniques, which are commonly used by Environmental Scientists to collect and analyze environmental data.

See salaries and explore the career path for Environmental Scientist