GMFM300 Remote Sensing II - Analysis

Credits (ECTS):10

Course responsible:Misganu Debella-Gilo

Campus / Online:Taught campus Ås

Teaching language:Engelsk, norsk

Course frequency:Every year

Nominal workload:Total structured teaching: 100 hours. Exercise work without direct supervision: 96 hours. Individual study: 50 hours.

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

About this course

Lectures: Image formation, pixel representation and image formats. Spaceborne imaging principles (platforms, sensors, orbits). Satellite image radiometric and geometric properties. The use of GPS for control point determination. The use of matching for controlling the geometric accuracy of satellite images. Satellite image orthorectification and terrain model generation from satellite image optical stereo. Spectral signatures and indices. Principles and methods of image classification, change detection and movement analysis using satellite images. The use of lidar data in thematic mapping. Principles of Imaging Synthetic Aperture Radar (SAR) and Interferometrical use of SAR.

Exercises:1: Determination of the structure of image files with unknown formats. Import, processing and converting of image files. 2: Orthorectification and automated terrain model production from satellite optical stereo and further analysis. 3: Self-guided mini-project focusing on image classification, change detection and visualization.

Excursion: A visit to relevant research, education, and business establishments located in the region.

the region.

Learning outcome

Knowledge: After completing the course, the students will have obtained substantial understanding of the principles of remote sensing image acquisition techniques and image characteristics. They will also get insight into the analysis methods of different remote sensing types (mainly optical but also radar and lidar) for selected real-world problems such as terrain model creation, image classification for mapping purposes, change detection and terrain movement analysis.

Skills: Students will be able to retrieve remote sensing images, evaluate their quality and specifications. They will also be able to orthorectify a raw satellite image, derive digital terrain model from optical stereo images. They will gain diverse skills in image classification, change detection and image matching methods through exercise sessions and individual mini-projects.

General Competence: The lectures form the foundation for methods and techniques and ensure that the relevant examples link theory and practice together. The exercises help the students acquire practical skills in connection with the methods and techniques covered in the lectures. The excursion supplements the other teaching and provides knowledge of relevant practice and relevant problems. Additionally, the students will enhance their report writing and communication skills, experience formulating, planning and implementing a mini-project that prepares them for their thesis and for the job market.

  • Learning activities
    Forelesninger, lab-øving og feltøving.
  • Teaching support
    Teaching support will be given primarily in connection with that part of the structured teaching that is set aside for exercise guidance. It will also be possible to communicate directly with the course teacher by appointment during office hours.
  • Prerequisites
    GMFM100
  • Recommended prerequisites
    GMFM200
  • Assessment method
    Portfolio assessment based on project assignments (accounts for 50% of the grade) and written exam (counts for 50% of the grade). Grading scale A-F.

  • Examiner scheme
    The external examiner collaborates with the internal examiner in designing examination tasks and guidelines. The external examiner verifies the internal examiner's assessment of a random selection of candidates periodically, as a part of the calibration process according to the faculty's grading guidelines.
  • Mandatory activity
    Exercises and excursion.
  • Notes
    Minimum 5 students
  • Teaching hours
    Lectures: 30 hours. Exercises: 60 hours. Excursion: 8 hours. Continuous assessment: 2 hours.
  • Admission requirements
    Special requirements in Science