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?

INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools

Scripts For the Course

Get Started with GEE

Explore the Google Earth Engine (GEE) Interface

Sign-up for GEE

Explore the Datasets in Google Earth Engine (GEE)

GEE Explorer for Satellite Data Analysis

Code Editor of GEE

Introduction to the GEE Code Editor

Hello to Javascript

Read in Display Single-Band Raster Data

Read & Visualize Multi-Band Raster Data

Start With Image Collections

Visualize Vector Data

More Feature Data Manipulation

Read in Shapefiles

Uploading Shapefiles Without Fusion Tables

Section 3 Quiz

(a) Perform basic GIS operations on shapefiles (b) Filtering & processing GEE image collection data (c) Selecting a specific GEE image (d) Apply statistical functions on GEE (e) Work with topographic

Filter a Feature Collection

Create a Buffer Around a Feature Collection

Compute Zonal Statistics on Feature Data

Filter an Image Collection

Filter an Image Collection According to Path and Row

Filter and Apply Statistical Function on Each Band

Select & Display a Specific Image

User Defined ROI

Create a Categorical DEM Map

Deriving Topographic Products from Elevation Data

Section 4 Quiz

(a) Common raster operations- clipping and band arithmetic (b) Implement user defined functions on raster (c) Threshold operations on raster data (d) Re-sampling and changing raster resolution

Clipping a Raster Using a Feature

Band Arithmetic on Raster Data in GEE

User Defined Functions

More Arithmetic Operations in GEE

Threshold Operations on Raster Data

Threshold With Canny Edge Detector

Resampling a Raster

Change Raster Resolution

Raster to Vector Conversion

Vector to Raster Conversion

Plotting and Exporting GEE Data

Use of Reducer Function

Plot Temporal Variation

Spectral Signatures Over Time & Space

Grouped Means for Two Raster Bands

Apply Simple Linear Regression

Export Raster Data

Export Data in CSV Format

Section 6 Quiz

Working with Optical Data-Landsat

Principles Behind Collection of Optical Remote Sensing Data

Why Do We Need Pre-Processing of Landsat Data

Different Landsat Sensors

Apply Atmospheric Correction to Landsat Data

Pan Sharpening Landsat Images

More Pan-Sharpening

Create a Landsat Composite

Texture Indices-Theory

Compute Texture Indices From an Image

Spectral Unmixing for Mapping

Unsupervised Classification- Theory

Unsupervised Classification-K Means Clustering

Supervised Classification-Theory

Common Remote Sensing Applications

Read in and Visualize Socio-Economic Data

Hansen Forest Loss Data

Compute Forest Loss at Country Scale with Hansen

Compute Forest Loss at Sub-Country Scale with Hansen

Section 8 Quiz

Miscellaneous Lectures

Quick Primer on Spatial Data

Github

GEE Animations

Upload External Data onto GEE

Object Based Image Analysis

Object Based Image Analysis (OBIA) With GEE

OBIA in GEE-Preliminary Steps

Compute Distance Rasters

Good to know

Know what's good

, what to watch for

, 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

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

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

Browse courses on JavaScript

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Complete tutorial on basic JavaScript syntax
Practice writing simple JavaScript programs

Organize and Review Course Materials

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

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

Explore GEE Tutorials and Documentation

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

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

Six other activities

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Show all nine activities

Practice Raster Processing Techniques

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

Browse courses on Image Analysis

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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

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

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

Create a GEE Time Series Analysis

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

Browse courses on Time Series Analysis

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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

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

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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

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

Browse courses on Image Classification

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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

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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

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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

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

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

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

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

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