Title | Multi-resolution topographic analysis in hexagonal Discrete Global Grid Systems |
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Author | Li, M; McGrath, H ; Stefanakis, E |
Source | International Journal of Applied Earth Observation and Geoinformation vol. 113, 102985, 2022 p. 1-15, https://doi.org/10.1016/j.jag.2022.102985
Open Access |
Image |  |
Year | 2022 |
Alt Series | Natural Resources Canada, Contribution Series 20210474 |
Publisher | Elsevier |
Document | serial |
Lang. | English |
Media | paper; on-line; digital |
File format | pdf |
Province | Alberta |
NTS | 82; 83; 84 |
Area | Buffalo Lake; Calgary; Canmore |
Lat/Long WENS | -120.0000 -110.0000 60.0000 49.0000 |
Subjects | mathematical and computational geology; GRID; grid sampling; topography; mapping techniques |
Illustrations | flow diagrams; figures; location maps; tables |
Program | Geobase 2.0 High Resolution Data
Exploitation |
Released | 2022 09 01 |
Abstract | Discrete Global Grid Systems (DGGS) have been increasingly adopted as a standard framework for multi-source geospatial data. Previous research largely studied the mathematical foundation of discrete
global grids, developed open-source libraries, and explored their application as data integration platforms. This study investigated the multi-resolution terrain analysis in a pure hexagonal DGGS environment, including descriptive statistics,
topographic parameters, and topographic indices. Experiments across multiple grid resolutions were carried out in three study areas with different terrain roughness in Alberta, Canada. Five algorithms were proposed to calculate both the slope
gradient and terrain aspect. A cell-based pair-wise comparison showed a strong positive correlation between the gradient values as calculated from five algorithms. The grid resolutions as well as the terrain roughness had a clear effect on the
computed slope gradient and topographic indices. This research aims to enhance the analytical functionality of hexagonal DGGS to better support decision-making in real world problems. |
Summary | (Plain Language Summary, not published) Application of spatial and analytic operations on a discrete global grid system (DGGS) |
GEOSCAN ID | 329338 |
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