
This paper introduces two elevation residual indices, the multiscale low-lying index (MsLLI) and the multiscale elevated index (MsEI), for mapping landforms associated with bottomland and upland positions respectively. These indices use a scale mosaicking approach to represent index values at spatially varying characteristic scales indicative of the local topographic variability in the neighborhood surrounding each grid cell in the input digital elevation model (DEM). The indices were extracted from two study DEMs, one in a complex landscape dominated by past continental glaciation, and the other in a relatively simpler fluvial landscape. Examination of the scale mosaics and key-scale maps allowed for a topographic analysis of the study sites.
Geomorphometry, Multiscale Analysis, Digital Elevation Model
Geomorphometry, Multiscale Analysis, Digital Elevation Model
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
