Satellite Remote Sensing Data Bootcamp With Opensource Tools from Udemy

Are you currently enrolled in either of my Core or Intermediate Spatial Data Analysis 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.

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 a risk of prosecution), you will learn to carry out some of the most important and common remote sensing analysis tasks using a number of popular, open source GIS tools such as All of which are in great demand in the geospatial sector and improving your skills in these is a plus for you.

This is an introductory course, i.e. we will focus on learning the most important and widely encountered remote sensing data processing and analyzing tasks in

In addition to all the above, you’ll have

ENROLL NOW :)

What's inside

Learning objectives

Download different types of satellite remote sesning data for free
Have thorough knowledge of remote sensing- theoretical concepts and applications
Implement pre-processing techniques using r and qgis
Carry out unsupervised classification of satellite remote sesning data

Carry out supervised classification of satellite remote sesning data
Implement machine learning algorithms on satellite remote sensing data in r
Carry out habitat suitability mapping using remote sensing and machine learning
Use other freely avaliable software tools such as google earth engine and snap for rs data analysis

Download different types of satellite remote sesning data for free
Have thorough knowledge of remote sensing- theoretical concepts and applications
Implement pre-processing techniques using r and qgis
Carry out unsupervised classification of satellite remote sesning data
Carry out supervised classification of satellite remote sesning data
Implement machine learning algorithms on satellite remote sensing data in r
Carry out habitat suitability mapping using remote sensing and machine learning
Use other freely avaliable software tools such as google earth engine and snap for rs data analysis

Syllabus

Introduction to Satellite Remote Sensing Data Analysis

Introduction to the Course and Instructor

Data Used in This Course

This lecture provides a theoretical description of what is remote sensing, basic principles governing it and some of its applications

This lecture is a theoretical introduction to the different types of remote sensing data out there defined in terms of the sensors used, spatial, spectral and temporal resolution

Provides an overview of the different tools used in this course and a detailed description of R and QGIS packages needed

Walks the students through installation of SNAP Desktop to reading in data into the software

Walks the students through installation of GRASS GIS to establishing file locations and reading in data into the software

Conclusions to Section 1

Section 1 Quiz

(a) Know principles behind the collection of optical RS data (b) What are the different types of optical RS data in spatial and spectral terms (c) where to get these data (d) pre-processing

Principles Behind Collection of Optical Remote Sensing Data

Different Types of Optical Remote Sensing Data

Downloading and Viewing Landsat Data

Different Landsat Sensors

Downloading and Viewing Optical Data via QGIS

Conclusions to Section 2

Section 2 Quiz

(a) Know the pre-processing techniques to be applied on optical data (b) Carry out pre-processing of optical data (c) learn to do b in R and QGIS (d) applications of pre-processed ata

Why is Pre-Processing Needed for Optical Data?

Implementing Atmospheric Correction on Landsat Data in R

Higher Level Landsat Products

QGIS For Pre-Processing Landsat Data: Semi-Automatic Classification Plugin

Atmospherically Corrected Outputs from QGIS

What Can Pre-Processed Satellite Data Be Used For?

Conclusions to Section 3

Section 3: Quiz

Learn about the different products that can be derived from optical data

Rationale for this section

Stacking and Unstacking Bands in QGIS

Band Maths in R and QGIS

Texture Indices-Theory

Texture Indices-GRASS GIS

Texture Indices-ESA SNAP

Tasseled Cap Transformations-theory

Tasseled Cap Transformations-GRASS GIS

Vegetation Indices in GRASS GIS

Vegetation Indices using RStoolbox

Dimension Reduction-theory

Dimension Reduction-QGIS

Dimension Reduction-GRASS GIS

Conclusion to Section 4

Section 4 Quiz

(a) Know the theory of unsupervised and supervised classifications (b) implement supervised and unsupervised classifications practically (c) evaluate classification accuracy

Rationale Behind this Section

Theory of Unsupervised Classification

Unsupervised Classification-ESA SNAP

Theory of Supervised Classification

Supervised Classification in QGIS: Preliminary Steps

Classification and Post Classification Accuracy in QGIS

Machine Learning Theory

Create Training Data in QGIS

Apply Machine Learning Techniques on Satellite Data

Conclusion to Section 5

Section 5 Quiz

(a) what are active remote sensing data (b) where to get these from (c) turning radar data into useful products

Why Use Active Remote Sensing Data?

Obtain ALOS PALSAR Data

Pre-processing of ALOS PALSAR data

Filtering for Speckles

Obtain back-scatter values from ALOS PALSAR data

Section 6 Quiz

BONUSES SECTION

Brazil Time Lapse

Assign Legends in QGIS

Posit On POSIT

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches skills that are useful for personal growth and development

Taught by Minerva Singh, who has a PhD in Tropical Ecology and Conservation from the University of Cambridge

Uses actual satellite remote sensing data from Landsat and JAXA

Develops skills in satellite remote sensing data analysis using R and QGIS

Explores applications of remote sensing data in ecology and environmental science

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 Satellite Remote Sensing Data Bootcamp With Opensource Tools with these activities:

Organize notes and assignments

Show steps

Improves organization and review of course materials.

Browse courses on Remote Sensing

Show steps

Create a system for organizing notes, assignments, and quizzes
Review your notes and assignments regularly
Highlight important concepts and key takeaways

Review geospatial analysis theory

Show steps

Refreshes foundational theory to establish a solid foundation for learning in the course.

View Principles of Geographical Information Systems on Amazon

Show steps

Read chapters 1-4 of the book
Take notes on key concepts
Complete the practice exercises at the end of each chapter

Follow tutorials on QGIS and R

Show steps

Develops practical skills in using essential tools for geospatial analysis.

Browse courses on QGIS

Show steps

Find tutorials on the official QGIS and R websites
Follow the tutorials step-by-step
Practice using the tools on your own data

Four other activities

Expand to see all activities and additional details

Show all seven activities

Join a study group

Show steps

Provides opportunities to collaborate and learn from peers.

Browse courses on Remote Sensing

Show steps

Find or create a study group with other students taking the course
Meet regularly to discuss the course material
Work together on assignments and projects

Complete practice exercises on unsupervised classification

Show steps

Reinforces understanding of unsupervised classification techniques.

Browse courses on Unsupervised Classification

Show steps

Find practice exercises on unsupervised classification
Complete the exercises using QGIS or R
Evaluate your results

Develop a land cover map using supervised classification

Show steps

Applies supervised classification techniques to a real-world problem.

Browse courses on Supervised Classification

Show steps

Collect training data for different land cover classes
Train a supervised classifier using QGIS or R
Classify a new dataset using the trained classifier
Create a land cover map from the classified data

Participate in a remote sensing hackathon

Show steps

Showcases skills and knowledge in a competitive environment.

Browse courses on Remote Sensing

Show steps

Find a remote sensing hackathon to participate in
Form a team or work individually
Develop a project that addresses a real-world problem using remote sensing
Present your project to a panel of judges

Career center

Learners who complete Satellite Remote Sensing Data Bootcamp With Opensource Tools will develop knowledge and skills that may be useful to these careers:

Remote Sensing Analyst

Remote sensing analysts are professionals who use satellite imagery and other remotely sensed data to study the Earth's surface. They use this data to create maps, identify land use changes, monitor environmental changes, and assess the impact of natural disasters. This course can help you build a foundation in remote sensing data analysis and prepare you for a career as a remote sensing analyst. The course covers topics such as downloading satellite data, pre-processing data, and classifying data. You will also learn how to use open source software tools such as QGIS and R to analyze remote sensing data.

See salaries and explore the career path for Remote Sensing Analyst

Geospatial Analyst

Geospatial analysts use geographic information systems (GIS) to analyze and visualize data that has a geographic component. They use GIS to create maps, identify patterns, and solve problems. This course can help you build a foundation in geospatial analysis and prepare you for a career as a geospatial analyst. The course covers topics such as downloading satellite data, pre-processing data, and classifying data. You will also learn how to use open source software tools such as QGIS and R to analyze remote sensing data.

See salaries and explore the career path for Geospatial Analyst

Environmental Scientist

Environmental scientists study the environment and its components. They use their knowledge to develop solutions to environmental problems. This course can help you build a foundation in remote sensing data analysis and prepare you for a career as an environmental scientist. The course covers topics such as downloading satellite data, pre-processing data, and classifying data. You will also learn how to use open source software tools such as QGIS and R to analyze remote sensing data.

See salaries and explore the career path for Environmental Scientist

Natural Resource Manager

Natural resource managers oversee the use and conservation of natural resources. They use their knowledge of natural resources to make decisions about how to use them in a sustainable way. This course can help you build a foundation in remote sensing data analysis and prepare you for a career as a natural resource manager. The course covers topics such as downloading satellite data, pre-processing data, and classifying data. You will also learn how to use open source software tools such as QGIS and R to analyze remote sensing data.

See salaries and explore the career path for Natural Resource Manager

Land Use Planner

Land use planners develop plans for the use of land. They use their knowledge of land use planning to make decisions about how to use land in a way that is sustainable and meets the needs of the community. This course can help you build a foundation in remote sensing data analysis and prepare you for a career as a land use planner. The course covers topics such as downloading satellite data, pre-processing data, and classifying data. You will also learn how to use open source software tools such as QGIS and R to analyze remote sensing data.

See salaries and explore the career path for Land Use Planner

GIS Technician

GIS technicians use GIS software to create maps, analyze data, and solve problems. They work with a variety of data types, including satellite imagery, aerial photography, and census data. This course will help you develop the skills you need to become a GIS technician. You will learn how to download and pre-process satellite data, and how to use QGIS and R to analyze data.

See salaries and explore the career path for GIS Technician

Remote Sensing Scientist

Remote sensing scientists use satellite imagery and other remotely sensed data to study the Earth's surface. They use this data to create maps, identify land use changes, monitor environmental changes, and assess the impact of natural disasters. This course will help you develop the skills you need to become a remote sensing scientist. You will learn how to download and pre-process satellite data, and how to use QGIS and R to analyze data.

See salaries and explore the career path for Remote Sensing Scientist

Cartographer

Cartographers create maps and other visual representations of geographic data. They use their knowledge of cartography to design maps that are clear, accurate, and informative. This course will help you develop the skills you need to become a cartographer. You will learn how to download and pre-process satellite data, and how to use QGIS and R to create maps.

See salaries and explore the career path for Cartographer

Data Analyst

Data analysts use data to solve problems and make decisions. They work with a variety of data types, including satellite imagery, aerial photography, and census data. This course will help you develop the skills you need to become a data analyst. You will learn how to download and pre-process satellite data, and how to use QGIS and R to analyze data.

See salaries and explore the career path for Data Analyst

Geographer

Geographers study the Earth's surface and its human and natural features. They use their knowledge of geography to solve problems and make decisions. This course will help you develop the skills you need to become a geographer. You will learn how to download and pre-process satellite data, and how to use QGIS and R to analyze data.

See salaries and explore the career path for Geographer

Environmental Planner

Environmental planners develop plans to protect the environment. They use their knowledge of environmental planning to make decisions about how to use land and resources in a way that is sustainable. This course will help you develop the skills you need to become an environmental planner. You will learn how to download and pre-process satellite data, and how to use QGIS and R to analyze data.

See salaries and explore the career path for Environmental Planner

Hydrologist

Hydrologists study water and its movement. They use their knowledge of hydrology to solve problems and make decisions about how to manage water resources. This course will help you develop the skills you need to become a hydrologist. You will learn how to download and pre-process satellite data, and how to use QGIS and R to analyze data.

See salaries and explore the career path for Hydrologist

Meteorologist

Meteorologists study the atmosphere and its weather patterns. They use their knowledge of meteorology to forecast the weather and to warn people about severe weather events. This course will help you develop the skills you need to become a meteorologist. You will learn how to download and pre-process satellite data, and how to use QGIS and R to analyze data.

See salaries and explore the career path for Meteorologist

Oceanographer

Oceanographers study the oceans and their physical, chemical, and biological properties. They use their knowledge of oceanography to solve problems and make decisions about how to manage ocean resources. This course will help you develop the skills you need to become an oceanographer. You will learn how to download and pre-process satellite data, and how to use QGIS and R to analyze data.

See salaries and explore the career path for Oceanographer

Geologist

Geologists study the Earth's crust and its history. They use their knowledge of geology to solve problems and make decisions about how to use the Earth's resources. This course may be helpful for you if you want to become a geologist. The course will help you develop the skills you need to analyze satellite data, which can be useful for studying the Earth's surface.

See salaries and explore the career path for Geologist