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HU Credits:
3
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Plant Science in Agriculture
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Rehovot
Course/Module Coordinator:
Dr. Ittai Herrmann
Coordinator Office Hours:
By appointment
Teaching Staff:
Dr. ittai herrman,
Mr.
Course/Module description:
This is a theoretical course that introduces remote sensing while focusing at vegetation. The course integrates hands on ENVI software (designated for hyperspectral imagery) computer assignments to develop software skills as well as support the theory.
Course/Module aims:
to introduce remote sensing methods, sensors and applications of vegetation (focus on agricultural) and develop capability to analyze spectral data of vegetation.
Learning outcomes - On successful completion of this module, students should be able to:
+ Describe remote sensing methods and sensors.
+ Select the relevant tools and methods for sensing vegetation.
+ Use ENVI to pre-process and analyze spectral data.
Attendance requirements(%):
No restriction, it is recommended to join all classes and assignments.
Teaching arrangement and method of instruction:
based on the current condition, this semester:
Lesson - online
Assignments- online
Exam - online
Course/Module Content:
+ Introduction and basic terms
+ Physical background
+ Pre-processing (radiometric, geometric and atmospheric)
+ Variety of sensors and their applications
+ Nano-satellites and Radar
+ Spectral signature of vegetation
+ Vegetation indices
+ Classification
+ Thermal sensing for sensing vegetation
+ Drones as a tool for plant sensing
+ remote sensing in the eyes of the industry
Required Reading:
Will be provided during the course
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 60 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 40 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
Assignments 40 % (30% all assignments + 10% concluding assignment)
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