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  • The 2 objectives of this study are : expand the scope of geomorphometric analysis to include variables based on hillslope profile analysis, and show that a combined spectral, textural and geomorphometric data set can separate geomorphic surfaces
  • at 3 scales, corresponding roughly to general process domain, landform and sub-landform. This research is part of a larger project designed to determine, through remote sensing, the geomorphic consequences of climatic variability in the Canadian north.
  • Earth's surface, fashioned by multiple processes operating over different timescales, has more than 5 statistical dimensions of variability. Two-parameter spectral or unifractal models can at best only provide approximations which may serve
  • This paper describes the automation of a manual approach to the numerical modelling of spatial variability in topography. The morphometric model presented here is implemented by Geographic Information Systems (GIS) technology and uses a digital
  • adapter au charactère variable du relief. Pour illustrer l'utilité de procédures adaptatives, présentation d'une méthode de génération et d'amélioration de MNT par courbes de niveaux digitalisées. Cette méthode est fondée sur une triangulation initiale à