Introduction to Remote Sensing Methods

This introductory course conveys the essentials of remote sensing by providing participants with an overview of available remote sensing software and image processing and analysis methods.

A variety of exercises will cover methods of image correction, enhancement and classification, as well as the generation of meaningful maps

The course uses open-source software (QGIS and various plugins) and freely available data (Landsat 8, Sentinel 2, etc.) and also provides an overview of cloud-based remote sensing using the example of the Google Earth Engine and EO Browser.

• Current state of remote sensing
• Basics of remote sensing
• Satellites, systems and sensors
• The electromagnetic spectrum, bands
• Raster data and its specifics
• Aerial and satellite images
• Overview of Landsat, Sentinel and usage of data
• Image processing and enhancement
• Classification methods
• Data sources
• Overview of cloud-based remote sensing systems
• Introduction to the Google Earth Engine