Earth Observation and Modelling

Remote Sensing Principles I & II

Vorlesung und Übung für UGM, SSE und EM
Semesterlage: WS2020
Sprache: Englisch

Course content

Remote Sensing Principles provides an introduction to earth observation (EO) and their use to analyse processes in terrestrial and aquatic ecosystems using freely available software tools. The module is structured to take students from the underpinning physical principles of the subject, through the properties of the most prominent sensors, the basic principles of image processing and interpretation to examples of the applications of remote sensing data.

The course includes a lecture and an accompanying exercise. The lecture covers the principles in remote sensing and is intended as an overview on remote sensing principles and touches on physics, environmental sciences, computer sciences and geography. The lecture provides the theoretical background needed or the practical work during the exercise, which is an interactive, computer based part of the course.

Remote Sensing Principles I: Physical background of remote sensing data and image acquisition, data handling, metadata handling, band combinations, image analysis and interpretation of multispectral EO data

Remote Sensing Principles II: Geometric and radiometric pre-processing, calculation of indices, classification approaches, change detection and time series analysis, processing and analysis of thermal data

Learning Outcomes:

  • Basic understanding of physical, radiometric and geometric principles of EO data
  • Basic understanding of processing and analysis of EO data
  • Basic understanding of remote sensing software (freeware)
  • Basic skills to interpret and discuss remote sensing imagery