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Digital elevation models (DEMs) provide quantitative elevation data, but it is the characterisation and extraction of geomorphologically significant measures (morphometric indices) from these raw data that form more informative and useful datasets.
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Geomorphological analysis through morphometric indices extracted from a DEM (90 m) and its derived maps as well as field observations supported by the literature data permit the demonstration that tectonics, climate and base level are the main factors that control the formation and evolution of the planation surfaces and scarps that separate them.
Morphometric indices were determined from the microtomographic datasets (integrated over a volume of interest, VOI) using direct 3D morphometry.
Morphometric indices were determined from the microtomographic data sets (integrated over a VOI) using direct 3D morphometry.
On the original three-dimensional images, morphometric indices were directly determined from the binarized volume of interest (VOI) [ 26].
Morphometric indices analogous to classical histomorphometry can be calculated from micro-CT images of trabecular and cortical bone.
Spatial variation of morphometric indices were assessed across catchment (trunk rivers) and subcatchment scales.
Morphometric indices of landslide dam stability calibrated in other environments were applied to the Oregon dams.
We studied eight morphometric indices at two scales: whole island (~ 11,000 km2) and within sequences of reefal terraces (~ 3000 km2).
We found that the morphometric indices over-predicted dam instability (Table 5), using a realistic dam volume of 10% of the landslide volume.
Rock type variation is interpreted to be the key control on morphometric indices within the Gouritz catchment, especially hypsometry and stream length gradient.
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