Course

GMFM100 Introduction to remote sensing

Credits (ECTS):5

Course responsible:Cecilie Rolstad Denby

Campus / Online:Taught campus Ås

Teaching language:Norsk

Course frequency:Annually

Nominal workload:Structured teaching: 58 hours. Exercise work without direct supervision: 22 hours. Individual study: 45 hours.

Teaching and exam period:This course starts in January. This course has teaching/evaluation in January.

About this course

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 using an image processing program. Measurement in aerial photographs. 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 relevant companies/institutes/museums/laboratories.

Learning outcome

After completing the course, the student should have basic knowledge of various types of sensors and platforms for remote sensed data, and applications of these data. Students should be informed about national and international space activities for Earth observation. 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, and elementary image processing. 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 remote sensed data 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 as exercise supervision. It will also be possible to communicate directly with the lecturer by appointment during office hours.
  • Assessment method
    Digital net based examination, multiple choice: 3 hours.

  • Examiner scheme
    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 Faculty's guidelines for examination markings.
  • Mandatory activity
    Mandatory exercises and excursion.
  • Notes
    Minimum 10 students.
  • Teaching hours
    Lectures: 26 hours. Lab exercises: 30 hours. Excursion: 8 hours.
  • Admission requirements
    Minimum requirements for entrance to higher education in Norway (generell studiekompetanse)