Section: Platforms, sensors and data | Remote Sensing and Image Analysis | Z_GIS

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    • Learning objectives (module level):

      • appreciate the value of remote sensing imagery as a core element for a(ny) Digital Earth
      • explain and communicate the fundamentals of remote sensing including physical principles and characteristics of platforms and sensors
      • gain experience with at least two different cloud platforms for remore sensing image analysis - e.g. Sentinel Hub and ArcGIS Image for ArcGIS Online
      • modify multi-band image display according to information needs and application domains
      • visually integrate imagery with geospatial displays, products and apps
      • access, manage, explore and integrate remote sensing imagery into geospatial workflows and products
      • understand and adequately apply simple classification methods, starting from indices
      • work with raster analysis methods, including pre- and post-processing 
      • implement simple change detection and monitoring tools 
      • be aware of advanced topics of remote sensing data management and analysis in general terms 

Fundamentals: from physics to visuals
Imagery to thematic layers

Platforms, sensors and data

Fundamentals: from physics to visuals
Imagery to thematic layers