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AG2416 Advanced Remote Sensing 7.5 credits

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Information per course offering

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Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus AG2416 (Autumn 2014–)
Headings with content from the Course syllabus AG2416 (Autumn 2014–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Remote Sensing & In Situ Data
  • Image Processing
  • Image Analysis
  • Image Classification
  • Digital Change Detection
  • Remote Sensing Applications

The course is composed of lectures, laboratory exercises, project and student presentations.

Intended learning outcomes

After the course, students should be able to understand sophisticated techniques for acquiring remotely sensed data, to apply advanced methods for image processing and analysis, and to use remotely sensed data for various applications such as planning, environmental monitoring and natural resource management.

Literature and preparations

Specific prerequisites

For admitted students to the Master of Science in Civil Engineering and Urban Management (CSAMH) or the Master of Science in Transport and Geoinformation Technology (TTGTM), there are no additional requirements.

For other students:

  • A completed bachelor’s degree in civil engineering, geomatics, geography, engineering physics, computer science, mathematics, statistics, environmental science, transport science, and/or urban planning, including at least 6 university credits (hp) in each of the following or their equivalents: Programming, Probability & Statistics; and
  • Documented proficiency in English corresponding to English B

Equipment

No information inserted

Literature

Introductory Digital Image Processing: A Remote Sensing Perspective, 3rd edition, Prentice Hall, Upper Saddle River, New Jersey. 526 pp.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • LAB1 - Laboratory Work, 3.0 credits, grading scale: P, F
  • PRO1 - Project, 1.5 credits, grading scale: P, F
  • TEN1 - Examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

LAB1 - Laboratory Work, 3.0 credits, grade scale: P, F
PRO1 - Project, 1.5 credits, grade scale: P, F
TEN1 - Examination, 3.0 credits, grade scale: A, B, C, D, E, FX, F

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture Yifang Ban

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

ABE/Geoinformatics

Main field of study

Built Environment

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

Yifang Ban