Unmanned Aerial Systems (UAS) for Remote Sensing
● Course Description:
This course introduces the fundamentals of unmanned aerial systems (UAS) for remote sensing. Topics covered include:
● UAS history and regulations
● UAS components and systems
● UAS data acquisition
● UAS data processing and analysis
● UAS applications in remote sensing
● Course Objectives:
Upon completion of this course, students will be able to:
○ Understand the fundamentals of remote sensing
○ Understand the fundamentals of Unmanned Aerial Systems (UAS)
○ Emphasize hands-on experience with UAS platforms and sensors.
○ Communicate the results of remote sensing analysis to a variety of audiences
● Prerequisites:
○ Basic knowledge of remote sensing
○ Basic knowledge of physics
○ Basic knowledge of computer programming
● Textbooks:
○ Unmanned Aircraft Systems: A Systems Approach, 2nd Edition by R. S. Sadhu.
○ Remote Sensing with Unmanned Aircraft Systems by M. Dorigo and M. Remondino.
● Course Outline:
○ Module 1: Introduction to UAS
○ Module 2: UAS history and regulations
○ Module 3: UAS components and systems
○ Module 4: UAS data acquisition
○ Module 5: UAS data processing and analysis
○ Module 6: UAS applications in remote sensing
○ Module 7: Programming assignments
● Course Delivery Method:
○ Lectures: Interactive lectures delivered by experienced remote sensing professionals and experts through presentations, videos, and demonstrations.
○ Homework Assignments: There will be three homework assignments throughout the course. The homework assignments will be graded on correctness and completeness.
○ Project: The project will involve applying machine learning to a remote sensing problem. Students will work in groups of two or three to complete the project. The project will be graded on creativity, originality, and technical quality.
○ Q&A Sessions: Regular question and answer sessions to clarify doubts and address participants' queries related to the course content and practical exercises.
● Course Duration:
4 weeks (can be adjusted as per requirements)
● Note:
The course content and duration can be customized according to the specific requirements and level of expertise of the target audience.
● Course Description:
This course introduces the fundamentals of unmanned aerial systems (UAS) for remote sensing. Topics covered include:
● UAS history and regulations
● UAS components and systems
● UAS data acquisition
● UAS data processing and analysis
● UAS applications in remote sensing
● Course Objectives:
Upon completion of this course, students will be able to:
○ Understand the fundamentals of remote sensing
○ Understand the fundamentals of Unmanned Aerial Systems (UAS)
○ Emphasize hands-on experience with UAS platforms and sensors.
○ Communicate the results of remote sensing analysis to a variety of audiences
● Prerequisites:
○ Basic knowledge of remote sensing
○ Basic knowledge of physics
○ Basic knowledge of computer programming
● Textbooks:
○ Unmanned Aircraft Systems: A Systems Approach, 2nd Edition by R. S. Sadhu.
○ Remote Sensing with Unmanned Aircraft Systems by M. Dorigo and M. Remondino.
● Course Outline:
○ Module 1: Introduction to UAS
○ Module 2: UAS history and regulations
○ Module 3: UAS components and systems
○ Module 4: UAS data acquisition
○ Module 5: UAS data processing and analysis
○ Module 6: UAS applications in remote sensing
○ Module 7: Programming assignments
● Course Delivery Method:
○ Lectures: Interactive lectures delivered by experienced remote sensing professionals and experts through presentations, videos, and demonstrations.
○ Homework Assignments: There will be three homework assignments throughout the course. The homework assignments will be graded on correctness and completeness.
○ Project: The project will involve applying machine learning to a remote sensing problem. Students will work in groups of two or three to complete the project. The project will be graded on creativity, originality, and technical quality.
○ Q&A Sessions: Regular question and answer sessions to clarify doubts and address participants' queries related to the course content and practical exercises.
● Course Duration:
4 weeks (can be adjusted as per requirements)
● Note:
The course content and duration can be customized according to the specific requirements and level of expertise of the target audience.
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NARSS
National Authority for Remote Sensing & Space Sciences
NARSS is the pioneering Egyptian institution in the field of satellite remote sensing. NARSS is an outgrowth of a Remote Sensing Center, established in 1971 as an American-Egyptian joint project that was affiliated to the Egyptian Academy of Scientific Research and Technology
