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  • Automatically derived catchment boundaries and channel networks and their hydrological applications
  • objective ways of comparing the conventionally mapped with the automatically generated drainage network. Emphasis is placed on the way that this approach is capable of benefiting a variety of hydrological applications, in particular the automatic estimation
  • 1988
  • of the training areas, founded on level slicing with transformed spectral data. The mapping accuracy can be further improved by combining the automatic classification with a subsequent visual interpretation.
  • 1988