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John Richards
Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles.
This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning.
Read more
Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles.
This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning.
Read more
Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles.
This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning.
It assumes no prior knowledge of remote sensing but develops the material to a depth comparable to a senior undergraduate course in remote sensing and image analysis. That requires the use of the mathematics of vector and matrix algebra, and statistics. It is recognised that not all participants will have that background so summaries and hand worked examples are included to illustrate all important material.
The course material is extensively illustrated by examples and commentary on the how the technology is applied in practice. It will prepare participants to use the material in their own disciplines and to undertake more detailed study in remote sensing and related topics.
Register for this course and see more details by visiting:
OpenCourser.com/course/dwjc4f/remote
What's inside
Syllabus
Course Welcome, Instructor, Course Resources, Module 1 Introduction and Week 1 Lectures and Quiz
Remote sensing is the science and technology of acquiring images of the earth’s surface from spacecraft, aircraft and drones to aid in the monitoring and management of the natural and built environments. Extensive computer-based analysis techniques are used to extract information from the recorded images in support of applications ranging over many earth and information science disciplines. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning. The course material is extensively illustrated by examples and commentary on the how the technology is applied in practice. While broad in its coverage the 15 hours of instruction, supported by quizzes and tests, will prepare participants to use the material in their own disciplines and to undertake more detailed study in remote sensing and related topics.
Read more
Syllabus
Course Welcome, Instructor, Course Resources, Module 1 Introduction and Week 1 Lectures and Quiz
Remote sensing is the science and technology of acquiring images of the earth’s surface from spacecraft, aircraft and drones to aid in the monitoring and management of the natural and built environments. Extensive computer-based analysis techniques are used to extract information from the recorded images in support of applications ranging over many earth and information science disciplines. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning. The course material is extensively illustrated by examples and commentary on the how the technology is applied in practice. While broad in its coverage the 15 hours of instruction, supported by quizzes and tests, will prepare participants to use the material in their own disciplines and to undertake more detailed study in remote sensing and related topics.
Read more
Week 2 Lectures and Quiz
Week 3 Lectures and Quiz
Week 4 Lectures and Quiz
Week 5 Lectures and Quiz, Module 1 Test
Module 2 Introduction, Week 6 lectures and Quiz
Week 7 Lectures and Quiz
Week 8 Lectures and Quiz
Week 9 Lectures and Quiz
Week 10 Lectures and Quiz, Module 2 Test
Module 3 Introduction, Week 11 Lectures and Quiz
Week 12 Lectures and Quiz
Week 13 Lectures and Quiz
Week 14 Lectures and Quiz
Week 15 Lectures and Quiz, Module 3 Test, Course Conclusion
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers fundamentals of remote sensing and applications across many earth science disciplines
Develops image understanding skills from basic to advanced deep learning techniques
Provides a foundation for further study and practical application of remote sensing
Assumes no prior knowledge of remote sensing, but requires background in vector/matrix algebra and statistics, which may be a barrier to some
Uses examples and case studies to illustrate practical applications of remote sensing
Designed for senior undergraduate students in remote sensing or image analysis
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Reviews summary
Highly rated course on remote sensing
Learners say this remote sensing course is informative, comprehensive, with good formation. Key features include lectures, quizzes, and assignments. Though challenging, the engaging content is well explained by the knowledgeable instructor, a legend in remote sensing.
Be ready for challenging but insightful material.
"A bit challenging but very insightful!"
"Very Informative and Comprehensive course abut Remote Sensing and Image Acquisition "
Course delves into technical details.
"Technically rich and advanced learning course content."
"Very imformative course"
Learn from an expert instructor.
"It was a wonderful experience "
"Thank you for your efforts Professor!"
"Professor Richards is an amazing lecturer"
Course lacks practical application.
"The only thing I think is missing is how to apply all these RS methods practically, which software to use?"
"The course contents cover Remote Sensing but since the mentor is just like reading, just show the scripts, it's so boring."
Concepts are grounded in math.
"In my opinion, this course was a bit too mathematical and monotonous"
"Very difficult to follow. Material is very technical and the lecturer simply reads from the slides."
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 Remote Sensing Image Acquisition, Analysis and Applications with these
activities:
Compile and organize course materials
Show steps
Ensure you have all necessary materials to succeed in the course.
Browse courses on
Organization
Show steps
-
Download and print lecture slides and readings.
-
Create a dedicated folder or notebook for course materials.
-
Organize materials by topic or week.
Review basic statistics and linear algebra
Show steps
Strengthen your foundational skills in statistics and linear algebra for the course.
Browse courses on
Statistics
Show steps
-
Review notes or textbooks on basic statistical concepts.
-
Practice solving linear algebra problems.
-
Complete online quizzes or tutorials to test your understanding.
Find a mentor in the field of remote sensing
Show steps
Gain valuable insights and guidance from an experienced professional in the field.
Browse courses on
Remote Sensing
Show steps
-
Attend industry events and conferences.
-
Reach out to professors or researchers in your university.
-
Join online communities and forums related to remote sensing.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Read Scientific Remote Sensing by John Richards and Xiuping Jia
Show steps
Familiarize yourself with the fundamentals and applications of remote sensing.
View
Remote Sensing Digital Image Analysis
on Amazon
Show steps
-
Read chapters 1-5 of the book.
-
Complete the exercises at the end of each chapter.
-
Summarize the key concepts in each chapter.
Attend a workshop on remote sensing
Show steps
Gain hands-on experience and learn from experts in the field.
Browse courses on
Remote Sensing
Show steps
-
Identify relevant workshops in your area or online.
-
Register for the workshop and prepare any necessary materials.
-
Attend the workshop and actively participate in the activities.
Analyze remote sensing data using Python
Show steps
Develop practical skills in remote sensing data analysis using Python.
Browse courses on
Python Programming
Show steps
-
Install Python and the necessary libraries.
-
Load and explore remote sensing data using Python.
-
Perform basic image processing operations, such as mosaicking, subsetting, and band combinations.
Create a collection of resources on remote sensing
Show steps
Organize and share valuable information on various aspects of remote sensing.
Browse courses on
Remote Sensing
Show steps
-
Gather resources such as articles, tutorials, datasets, and software.
-
Organize the resources into categories or topics.
-
Create a document, website, or online repository to share the collection.
Develop a presentation on a specific remote sensing application
Show steps
Enhance your understanding of remote sensing by applying it to a specific problem.
Browse courses on
Remote Sensing
Show steps
-
Choose a specific remote sensing application.
-
Research the application and gather data.
-
Create a PowerPoint presentation that describes the application, the data used, and the results.
Contribute to an open-source remote sensing project
Show steps
Gain practical experience and contribute to the remote sensing community.
Browse courses on
Remote Sensing
Show steps
-
Identify an open-source remote sensing project that aligns with your interests.
-
Review the project's documentation and codebase.
-
Identify a specific area or feature that you can contribute to.
Compile and organize course materials
Show steps
Ensure you have all necessary materials to succeed in the course.
Browse courses on
Organization
Show steps
Show steps
Show steps
- Download and print lecture slides and readings.
- Create a dedicated folder or notebook for course materials.
- Organize materials by topic or week.
Review basic statistics and linear algebra
Show steps
Strengthen your foundational skills in statistics and linear algebra for the course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review notes or textbooks on basic statistical concepts.
- Practice solving linear algebra problems.
- Complete online quizzes or tutorials to test your understanding.
Find a mentor in the field of remote sensing
Show steps
Gain valuable insights and guidance from an experienced professional in the field.
Browse courses on
Remote Sensing
Show steps
Show steps
Show steps
- Attend industry events and conferences.
- Reach out to professors or researchers in your university.
- Join online communities and forums related to remote sensing.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Read Scientific Remote Sensing by John Richards and Xiuping Jia
Show steps
Familiarize yourself with the fundamentals and applications of remote sensing.
View
Remote Sensing Digital Image Analysis
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-5 of the book.
- Complete the exercises at the end of each chapter.
- Summarize the key concepts in each chapter.
Attend a workshop on remote sensing
Show steps
Gain hands-on experience and learn from experts in the field.
Browse courses on
Remote Sensing
Show steps
Show steps
Show steps
- Identify relevant workshops in your area or online.
- Register for the workshop and prepare any necessary materials.
- Attend the workshop and actively participate in the activities.
Analyze remote sensing data using Python
Show steps
Develop practical skills in remote sensing data analysis using Python.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Install Python and the necessary libraries.
- Load and explore remote sensing data using Python.
- Perform basic image processing operations, such as mosaicking, subsetting, and band combinations.
Create a collection of resources on remote sensing
Show steps
Organize and share valuable information on various aspects of remote sensing.
Browse courses on
Remote Sensing
Show steps
Show steps
Show steps
- Gather resources such as articles, tutorials, datasets, and software.
- Organize the resources into categories or topics.
- Create a document, website, or online repository to share the collection.
Develop a presentation on a specific remote sensing application
Show steps
Enhance your understanding of remote sensing by applying it to a specific problem.
Browse courses on
Remote Sensing
Show steps
Show steps
Show steps
- Choose a specific remote sensing application.
- Research the application and gather data.
- Create a PowerPoint presentation that describes the application, the data used, and the results.
Contribute to an open-source remote sensing project
Show steps
Gain practical experience and contribute to the remote sensing community.
Browse courses on
Remote Sensing
Show steps
Show steps
Show steps
- Identify an open-source remote sensing project that aligns with your interests.
- Review the project's documentation and codebase.
- Identify a specific area or feature that you can contribute to.
Career center
Learners who complete Remote Sensing Image Acquisition, Analysis and Applications will develop knowledge and skills
that may be useful to these careers:
Geospatial Analyst
Geospatial Analyst
Geospatial Analysts use their advanced spatial database and GIS proficiency to provide insights on data. Most Geospatial Analysts work closely with Remote Sensing technologies and imagery, using data from satellites to build a better picture of the Earth. This course's comprehensive overview of remote sensing, paired with its in-depth study of computational algorithms used to interpret remote sensing data, may help prepare you to gather, interpret, and relay important insights.
Geographer
Geographer
Geographers study and analyze the Earth's physical features and human inhabitants. In order to complete their analyses, Geographers often use advanced technology like remote sensing. This course will teach you about the nature of imaging the earth's surface from space, from the platforms to the sensor types used. The course will also teach you how to analyze the images using various techniques, from historically important to modern methods like deep learning.
Surveying and Mapping Technician
Surveying and Mapping Technician
Surveying and Mapping Technicians collect, analyze, and interpret spatial data. Often, they use remote sensing to map areas of land, even hazardous areas. This course explores the nature of imaging the earth's surface from space or from airborne vehicles, so you can use the appropriate platforms and sensor types. This knowledge will help prepare you to use remote sensing in your work.
Soil Scientist
Soil Scientist
Soil Scientists study soil as it relates to plant growth, environmental quality, and land use. In order to collect data on soils, Soil Scientists often make extensive use of remote sensing and other technologies. This course will teach you about the nature of imaging the earth's surface from space, along with the platforms and sensor types used. The course will also provide an in-depth treatment of the computational algorithms employed in image understanding. This knowledge will help prepare you to use remote sensing technology in your work.
Geographic Information Systems Technician
Geographic Information Systems Technician
Geographic Information Systems Technicians gather, manage, and analyze geospatial data. They typically work with advanced technology such as remote sensing. This course will teach you about remote sensing, including the platforms and sensor types used. You will also learn about computational algorithms for interpreting images. This knowledge will help prepare you to use remote sensing technology in this in-demand role.
Cartographer
Cartographer
Cartographers make maps, globes, and other graphic representations of geographic data. To create maps, Cartographers typically use remote sensing and other advanced technologies. This course explores the nature of imaging the earth's surface from space or from airborne vehicles, so you can use the appropriate platforms and sensor types. This knowledge will help prepare you to use remote sensing in your work.
Remote Sensing Scientist
Remote Sensing Scientist
Remote Sensing Scientists use specialized technology to collect and interpret data about the Earth's surface. This often involves the use of advanced technology, such as satellites. This course will teach you about the nature of imaging the earth's surface from space, from the platforms to the sensor types used. The course will also teach you how to analyze the images using various techniques, from historically important to modern methods like deep learning.
Environmental Scientist
Environmental Scientist
Environmental Scientists study environmental problems and develop solutions. Often, this requires an understanding of remote sensing. This course explores the nature of imaging the earth's surface from space or from airborne vehicles. It also provides an in-depth treatment of the computational algorithms employed in image understanding. This knowledge will prepare you to use remote sensing technology to analyze and solve pressing environmental issues.
Water Resource Scientist
Water Resource Scientist
Water Resource Scientists study the availability and use of water resources. As part of their work, they use remote sensing to collect and interpret data. This course will teach you about the nature of imaging the earth's surface from space, from the platforms to the sensor types used. The course will also teach you how to analyze the images using various techniques, from historically important to modern methods like deep learning.
Land Surveyor
Land Surveyor
Land Surveyors measure and map real property, using specialized tools and equipment. Often, Land Surveyors use remote sensing technology. This course will teach you the fundamentals of remote sensing and the platforms and sensor types used. The course will also provide an in-depth treatment of the computational algorithms employed in image understanding. This knowledge will prepare you to use remote sensing in your work.
Civil Engineer
Civil Engineer
Civil Engineers design and build infrastructure projects, such as roads, bridges, and buildings. As part of their work, Civil Engineers can use remote sensing to collect and interpret data. This course will teach you about the nature of imaging the earth's surface from space, from the platforms to the sensor types used. The course will also teach you how to analyze the images using various techniques. This knowledge will help prepare you to use remote sensing technology in your work.
Geodetic Surveyor
Geodetic Surveyor
Geodetic Surveyors use specialized equipment and techniques to measure the Earth's shape and size. To do their work, Geodetic Surveyors often use remote sensing technology. This course explores the nature of imaging the earth's surface from space or from airborne vehicles. It also provides an in-depth treatment of the computational algorithms employed in image understanding. This knowledge will prepare you to use remote sensing technology in your work as a Geodetic Surveyor.
Geomorphologist
Geomorphologist
Geomorphologists study the Earth's surface and the processes that shape it. Often, they use specialized technology like remote sensing to collect and interpret information. This course explores the nature of imaging the earth's surface from space or from airborne vehicles. It also provides an in-depth treatment of the computational algorithms employed in image understanding. This knowledge will prepare you to use remote sensing in your research as a Geomorphologist.
Hydrologist
Hydrologist
Hydrologists study the movement of water on, above, and below the surface of the Earth. Remote sensing is often used by Hydrologists to collect and interpret data. This course will teach you about the nature of imaging the earth's surface from space, from the platforms to the sensor types used. The course will also teach you how to analyze the images using various techniques. This knowledge will help prepare you to use remote sensing technology in your work as a Hydrologist.
Atmospheric Scientist
Atmospheric Scientist
Atmospheric Scientists study the Earth's atmosphere and its interactions with the rest of the Earth system. In order to gather data on the atmosphere, Atmospheric Scientists often use remote sensing and other advanced technologies. This course will teach you about the nature of imaging the earth's surface from space, from the platforms to the sensor types used. The course will also teach you how to analyze the images using various techniques, from historically important to modern methods like deep learning.
For more career information including salaries, visit:
OpenCourser.com/course/dwjc4f/remote
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Remote Sensing Image Acquisition, Analysis and Applications.
A classic textbook in the field of remote sensing, providing a comprehensive coverage of the principles and applications of remote sensing. Useful as a reference or textbook for in-depth understanding of remote sensing techniques and applications.
Provides a comprehensive overview of the field of remote sensing, covering the basic principles, platforms, and sensors used in remote sensing, as well as image processing and analysis techniques. Useful as a textbook or background reading for understanding the fundamental concepts of remote sensing.
A comprehensive textbook covering the fundamentals of digital image processing, including image enhancement, restoration, compression, and analysis. Useful as a reference or textbook for understanding the image processing algorithms used in remote sensing.
Provides a comprehensive overview of the use of remote sensing in environmental monitoring, including the use of satellite and airborne sensors. Useful as a reference or textbook for understanding the applications of remote sensing in environmental studies.
Provides a comprehensive overview of the fundamentals of remote sensing, including the principles of electromagnetic radiation, remote sensing platforms and sensors, and image processing and analysis techniques. Useful as a textbook or background reading for understanding the fundamental concepts of remote sensing.
Provides a comprehensive overview of geographic information systems (GIS) and their applications in various fields, including remote sensing. Useful as a reference or textbook for understanding the integration of remote sensing data with GIS.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dwjc4f/remote
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Effort
1 hour per week lectures plus quizzes if course done for credit
Level
Intermediate
Via
Coursera
Institutions
UNSW Sydney (The University of New South Wales)
IEEE Geoscience and Remote Sensing Society
Instructor
John Richards
Language
English
Transcripts
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中文
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Good to know
Covers fundamentals of remote sensing and applications across many earth science disciplines
Develops image understanding skills from basic to advanced deep learning techniques
Provides a foundation for further study and practical application of remote sensing
Assumes no prior knowledge of remote sensing, but requires background in vector/matrix algebra and statistics, which may be a barrier to some
Uses examples and case studies to illustrate practical applications of remote sensing
Designed for senior undergraduate students in remote sensing or image analysis
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