Chang Sun
University of Alberta
| Subject Areas: | water resources |
Recent Activity
ABSTRACT:
This resource provides a national-scale terrain classification for Canada at 250 m resolution, derived from the Canadian Medium Resolution Digital Elevation Model (MRDEM; Natural Resources Canada). Terrain was classified into six classes using the standardized Topographic Position Index (zTPI), calculated from a 3–5 km annular neighbourhood, together with local slope, following Weiss (2001). Pixel values represent the following terrain classes: ridge (1), upper slope (2), middle slope (3), flat (4), lower slope (5), and valley (6). The dataset supports the paper “Spatiotemporal evaluation of snow water equivalent estimates across Canada: comparing CanSWE, SNODAS, and ERA5-Land” (Sun et al., submitted to Hydrology and Earth System Sciences).
Contact
| (Log in to send email) |
| All | 0 |
| Collection | 0 |
| Resource | 0 |
| App Connector | 0 |
Created: Oct. 22, 2026, 10:12 p.m.
Authors: Sun, Chang · Hongli Liu · Jennifer Nafziger
ABSTRACT:
This resource provides a national-scale terrain classification for Canada at 250 m resolution, derived from the Canadian Medium Resolution Digital Elevation Model (MRDEM; Natural Resources Canada). Terrain was classified into six classes using the standardized Topographic Position Index (zTPI), calculated from a 3–5 km annular neighbourhood, together with local slope, following Weiss (2001). Pixel values represent the following terrain classes: ridge (1), upper slope (2), middle slope (3), flat (4), lower slope (5), and valley (6). The dataset supports the paper “Spatiotemporal evaluation of snow water equivalent estimates across Canada: comparing CanSWE, SNODAS, and ERA5-Land” (Sun et al., submitted to Hydrology and Earth System Sciences).