I am trying to classify a Landsat 4-5 image using the semi automatic classification plugin for QGIS. I always get misclassifications between bare soil and urban areas as they have similar spectral information.
Is there a way to improve the quality of the classification so that urban areas and bare soil are better differentiated?
Best Answer
It must indeed be difficult to separate the classes with the spectral information available on one date. But as Landsat data are usually available for several dates within a year, you might try to combine these dates. Except in very dry areas, there is often a time when the soils are covered by vegetation and easy to differentiate from buildings and roads.