This introductory remote sensing course provides an introduction to the physical principles of satellite remote sensing, and basic remote sensor data processing. In particular, this includes:
- examining the basic physics of electromagnetic (EM) radiation and the complex interactions of radiation with the atmosphere and surface,
- examining the characteristics of the EM radiation (spectral signatures) across regions of the EM spectrum for various surface targets,
- reviewing the main resolutions of a sensor system, types of sensors (passive and active), remote sensing platforms (ground-based, airborne and spaceborne) and satellite remote sensing missions,
- basis for interpretation of remote sensing images, and
- hands-on basic remote sensor data processing i.e. performing image corrections for common sources of error in satellite imagery, and performing image enhancement and image classification in-order to generate thematic information.
In particular, the classification of images will entail applying selected vegetation indices, supervised pixel- and supervised object-based classification techniques to the provided image data sets; followed by verification of classification results by constructing an error assessment matrix. Furthermore course will also cover various online remote sensor data archives where imagery of varying resolution characteristics can be obtained free of charge.