Thales Sehn Körting

In this podcast I discuss the wrong use of the term Resolution in scientific articles or in the general media. Resolution in Remote Sensing can be used to describe several aspects of images, such as: temporal resolution: the time difference between two images of the same place spectral resolution: related to the number of bands and wavelengths, such as in Panchromatic, Multispectral, Hyperspectral, or Ultraspectral radiometric resolution: the number of bits needed to store a pixel value (e.g. 8 bits in Landsat 7 or 11 bits in WorldView-2) spatial resolution: the focus of this podcast, relating the area represented by a single pixel in an image I provide an interesting reference with an easy to use table, to understand what can be considered High Spatial Resolution, or Low Spatial Resolution: Taxonomy of Remote Sensing Systems - Spatial Ground Resolution Ultra High: < 1m Very High: [1m, 4m] High: [4m, 10m] Medium: [10m, 50m] Low: [50m, 250m] Very Low: > 250m The reference is: Ehlers