Course code GMBB100

GMBB100 Remote Sensing in Geomatics

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Showing course contents for the educational year 2022 - 2023 .

Course responsible: Cecilie Rolstad Denby
ECTS credits: 5
Faculty: Faculty of Science and Technology
Teaching language: NO
(NO=norsk, EN=Engelsk)
Teaching exam periods:
This course starts in January. This course has teaching/evaluation in January.
Course frequency: Annually
First time: Study year 2004-2005
Course contents:

Lectures: Basic physical principles. Photographical image acquisition. Digital image acquisition. Digital image processing. Use of aircraft and satellites as sensor platforms. Analog and digital aerial photogrammetry. Satellite mapping. Multispectral imagery and classification techniques. Integration of images in geographical information systems. Use of laser scanning (LIDAR) and radar-based techniques (InSAR) for generation of digital terrain models (DTM).

Exercises: Introductory exercise on the use of images. Presentation of multispectral satellite images by using the image processing program MultiSpec. Measurement in aerial photographs. Use of pocket and mirror stereoscopes, demonstration of stereoscopic vision. Digital image processing. Classification of a multispectral satellite image. Search for satellite images in catalogues on the Internet. Airplane and satellite images as part of the information content of a GIS. Orienteering in the field based on aerial photographs and satellite images. Excursions: Visits to Blom Geomatics AS and Norwegian Space centre at Skøyen in Oslo.

Learning outcome:
After completing the course, the student is to have knowledge of how various types of images taken by airplanes and satellites can be used in connection with the production of topographic maps, thematic maps and digital terrain models (DTM). The student is to be familiar with the basic principles for analog and digital acquisition of images, as well as the most commonly used methods for analog and digital representation of images. The student is to be aware of the basic principles and the historical development in the field of conventional photogrammetry, be aware of how digital image processing can be utilised in connection with both aerial photographs and satellite images. The student is to have knowledge of the conditions necessary for aerial photographs and satellite images to be integrated in geographical information systems (GIS). Knowledge about how laser scanning (LIDAR) and radar-based techniques (InSAR) can be used for generation of digital terrain models (DTM)will also be achieved.
Learning activities:
The lectures give an introduction to basic ideas, methods and techniques and connect theory with various types of applications through relevant examples. In the exercises, the students gain practical skills related to the methods and techniques covered in the lectures. The excursion supplements the rest of the teaching and provides a solid basis including relevant practice and actual issues.
Teaching support:
Teaching support will be given primarily in connection with the part of the structured teaching that is reserved for exercise supervision. It will also be possible to communicate directly with the course teacher by appointment during office hours.

Principles of Remote Sensing ¿ an introductory textbook

Editors: K. Tempfli, N. Kerle, G.C. Huurneman, L.L.F. Janssen

Recommended prerequisites:
Mandatory activity:
Mandatory exercises and excursion.
Digital examination: 3 hours.
Nominal workload:
Structured teaching: 58 hours. Exercise work without direct supervision: 22 hours. Individual study: 45 hours.
Entrance requirements:
Minimum requirements for entrance to higher education in Norway (generell studiekompetanse)
Reduction of credits:
GMGM100, 2 credits reduction.
Type of course:
Lectures: 26 hours. Lab exercises: 20 hours. Field exercise: 4 hours. Excursion: 8 hours.
Minimum 10 students.
The external and internal examiner jointly prepare the exam questions and the correction manual. The external examiner reviews the internal examiner's examination results by correcting a random sample of candidate¿s exams as a calibration according to the Department's guidelines for examination markings.
Allowed examination aids: C1 All types of calculators, other aids as specified
Examination details: One written exam: Passed / Not Passed