GE: 245
DEPARTMENT OF GEOGRAPHY
NAME OF THE COURSE: Remote Sensing
CODE: GE 245
PROGRAM: BAED 2 & BPHIL ED 2
YEAR OF STUDY: 2nd year
SEMESTER: 1st
VENUE: M12/M13
COURSE INSTRUCTORS:
Mabuye J.P. & Ngogo M (office no.2 in the building near old CRDB ATMs or office no.4 (Ngorongoro)
CONTACTS: cell phone no. 0768174879/0622476061 Email; josephat.mabuye@saut.ac.tz/ibrahamovic@gmail.com
Course Objective
• The course provides the students with basic knowledge and skills of acquiring, analysing, interpret and apply remotely sensed data in different natural and cultural settings
Course description
• This course examines the concepts of remote sensing. It deals with scope of remote sensing, principles of remote sensing, remote sensing systems and interpretation of remotely sensed images. It also examines the applications of remotely sensed data.
Time allocated: 30 hours for lectures and 15 hours for seminars
Course assessment:
• Coursework: 40 percent (2 individual assignments each 10 marks, 2 tests each 10 marks)
• University examination: 60 percent
Course Outline
Topic 1: Principles of Remote Sensing
1: 1 Scope of remote sensing
1: 2 Electromagnetic spectrum
1: 3 Energy interactions with atmosphere
1: 4 Energy interaction with earth surface features
Topic 2: Remote Sensing Systems
2: 1 Remote sensing platforms
2: 2 Visible and Infrared systems
2: 3 Thermal remote sensing systems
2: 4 Microwave and Radar remote sensing systems
Topic 3: Satellite Image Interpretation
3: 1 Visible imagery interpretation
3: 2 Infra-red imagery interpretation
3: 3 Thermal imagery interpretation
3: 4 Microwave imagery interpretation
Topic 4: Application of Remote Sensing
4: 1 Weather forecasting
4: 2 Land resources mapping
4: 3 Marine resources monitoring
4: 4 Geological explorations
• By the end of this course, learners should be able to:
• Describe the concept of remote sensing and explain its scope
• Explain the function of the Electromagnetic radiation/spectrum as the intervening medium in remotely sensed data
• Illustrate the interaction of the electromagnetic energy with the atmosphere and Earth’s surface as an important process in acquiring remotely sensed information
• Describe and distinguish between passive and active remote sensing systems
• Differentiate between types of Satellites and in remote sensing
• Analyse and Interpret satellite imageries
• Determine the application of remotely sensed data in daily natural and cultural settings
Bhatta, B. (2OO8). Remote Sensing and GIS. India, Oxford University Press
Curran P.J, (1983). Principles of Remote Sensing. Sheffield, South Yorkshire
Drury , S. A, ( 1990 ). A Guide to Sensing. Oxford University Press, Oxford
Hathout , S. ( 2005 ). Introduction to Remote Sensing , Dar-Al-Marffa Al-Gamaiya,Alexandria
King, R.B, ( 1984 ). Remote Sensing , Manual of Tanzania Land Resources Development Centre , ODA and IRA, University of Dar es Salaam. Dar es salaam
Lillesand, T.M, (2004). Remote sensing and Image Interpretation. 5th Ed, John Wiley & Sons, New York
Sabins, F . F ( 1978 ) Remote Sensing: Principles and Interpretation
Various sources from Internet
Course policies
• Attendance
• Attendance and participation is integral to the learning process.
• It is mandatory to attend all course lectures and activities unless one has concrete reason(s) and solid evidence for not doing so.
• Students who are unable to attend a lecture etc. should inform the CRs prior to the time of the lecture/activity.
• Expected classroom behaviour
• Use of all electronic devices (e.g., cell phones, iPads, calculators, laptop computers, etc.) is prohibited during all class periods unless allowed by the instructor.
• Turn your phones off before class begins. Side conversations, text-messaging and web-surfing are distractive to others and are not allowed.
• SAUT Student Code of Conduct should be adhered to always.
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It would be better if you will upload your notes in the internet.
ReplyDeleteCould you upload the notes please.!?
ReplyDeletewe ask you to make notes for us, teacher, thank you
ReplyDeleteplease put a note for us teacher
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