The models developed by the CART and FDA revealed that in addition to soil thickness, the morphometric attributes slope and profile curvature significantly influence the spatial distribution of landscape structures.
The Classification Tree (CT) method was applied to assess whether lynchets and undulations can be discriminated through morphometric attributes (slope, curvature, profile curvature and planform curvature) and soil thickness (CTsoil) or through morphometric attributes only (CTtopo).
We have assessed dam stability using 6 separate indices (with a total of 10 stability thresholds) based on watershed and dam morphometric attributes (from: Canuti et al. 1998; Casagli and Ermini 1999; Ermini and Casagli 2003; Korup 2004; Tacconi Stefanelli et al. 2015, 2016, 2017).
We studied the nematode communities of these two glacial fjords with respect to their morphometric attributes (body length, width, length/width ratio) and biomass (total and individual) to evaluate whether their differences reflect differences in hydrographical and biogeochemical conditions.
When considering the morphometric attributes of a glacial cirque, imbalances between length, width, and amplitude have been deemed relevant tools for discriminating between two possible pathways of cirque growth: downwearing by glaciers or backwearing by freeze thaw processes.
MPS uses information at multiple cell locations including morphometric attributes at a target mapping cell, i.e. digital elevation model (DEM) derivatives, and non-morphometric attributes, i.e. landforms at the neighboring cells, to determine the landform.
The results achieved in this study proposes that morphometric attributes defining basin geometry as well as shape, length of stream, stream network topology and topography dissection can be well retrieved from ASTER-DEM and accomplished to generate data on stream number and basin relief.
We used four morphometric attributes extracted from a 37.5-m resolution DEM as well as two non-morphometric attributes observed in the neighborhood.
MPS outperforms a rule-based technique that only uses the morphometric attributes at the target mapping cell in the classification (i.e. one-point statistics technique), by 15% of cell accuracy.
