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Before choosing course

This is an advanced remote sensing course on sophisticated methods and techniques for collecting, processing and analyzing remotely sensed data; as well as applications of remote sensing in urban planning, environmental monitoring and natural resource management. Throughout the course, emphasis will be placed on image processing, image analysis, image classification, remote sensing and GIS data integration, and applications of remote sensing in various applications.

Choose semester and course offering

Choose semester and course offering to see information from the correct course syllabus and course offering.

* Retrieved from Course syllabus AG2413 (Spring 2020–)

Content and learning outcomes

Course contents

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

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

Intended learning outcomes

Students will gain theoretical knowledge and practical skills on digital image processing, analysis, and applying these techniques in various remote sensing applications

Course Disposition

Lectures 20h
Laborations 40h
Written exam

Literature and preparations

Specific prerequisites

A completed Bachelor of Science in Engineering or 180 credits academic studies in the field of Technical Science, Environmental Science, or planning and documented proficiency in English corresponding to English B.
Furthermore AG1321 Remote Sensing Technology or AG1324 Phtogrammetry and Remote Sensing or equivalent

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

Jensen, J.R., 2005. 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

  • LAB2 - Laboratory Work, 3,0 hp, betygsskala: P, F
  • PRO1 - Project, 1,5 hp, betygsskala: P, F
  • TEN2 - Examination, 3,0 hp, betygsskala: 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

Written exam (TEN1; 3 cr)
Approved laboratory reports (LAB1; 3 cr)
Project (PRO1; 1,5 cr)

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No opportunity to raise an approved grade via renewed examination

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 web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web AG2413

Offered by

ABE/Geoinformatics

Main field of study

Built Environment

Education cycle

Second cycle

Add-on studies

Written exam (TEN1; 4.5cr)
Approved laborations (LAB1; 3cr)

Contact

Yifang Ban (yifang@kth.se)