| Title | An integral image approach to performing multi-scale topographic position analysis |
| Author | Lindsay, J; Gallant, J; Cockburn, J; Russell, H |
| Source | AGU-GAC-MAC-CGU, 2015 Joint Assembly, abstract; 2015 p. 1 |
| Links | Online - En ligne
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| Year | 2015 |
| Alt Series | Earth Sciences Sector, Contribution Series 20140402 |
| Publisher | AGU |
| Meeting | AGU-GAC-MAC-CGU, 2015 Joint Assembly; Montreal; CA; May 3-7, 2015 |
| Document | book |
| Lang. | English |
| Media | paper; digital; on-line |
| File format | pdf |
| Province | Ontario; Quebec |
| NTS | 21; 22; 31; 32 |
| Area | Eastern North America |
| Lat/Long WENS | -80.0000 -70.0000 50.0000 40.0000 |
| Subjects | topography; landforms; landform classification; digital elevation models |
| Illustrations | location map |
| Program | Groundwater Geoscience,
Aquifer Assessment & support to mapping |
| Abstract | Digital elevation model (DEM) derived measures of terrain ruggedness and relative topographic position are useful parameters for automated landform classification and are widely applied in soils,
vegetation, and habitat mapping. These topographic attributes are inherently scale dependent because they are defined in the context of a local neighborhood. Previous studies have focused on assessing the multi-scale properties of these attributes
based on varying roving window sizes, grid resolution resampling, and hierarchical object-based methods. Despite significant advantages, the computationally intensive nature of large-window DEM filtering has limited the varying window size approach
from being used to study the scaling properties of topographic position in high resolution and at broad spatial scales.
This study uses integral image and integral histogram based approaches to explore two common measures of relative topographic
position, deviation from mean elevation (DEV) and elevation percentile (EP). The approaches were applied to a massive DEM of an extensive, heterogeneous region in eastern North America (40°N to 50°N and 70°W to 80°W). Compared with traditional image
filtering techniques, the integral image approach was extremely efficient for calculating DEV, enabling high-resolution multi-scale analysis. A technique, based on a novel multi-scale DEV, was developed for visualizing the scaling characteristics of
topographic position using color composite imagery. The information density in these images, provided by the contrast in the dominant scale response of nearby pixels, was very high. The integral histogram approach was similarly highly computationally
efficient, enabling EP measurement at scales that are not feasible using traditional methods. However, large memory requirements limited applicability to moderate sized DEMs of low-to-moderate relief landscapes. |
| Summary | (Plain Language Summary, not published)
Demonstrates the application of a fast filter approach to digital elevation model analysis for terrain analysis |
| GEOSCAN ID | 295746 |
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