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TitleMulti-resolution topographic analysis in hexagonal Discrete Global Grid Systems
 
AuthorLi, M; McGrath, HORCID logo; Stefanakis, E
SourceInternational 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 logo Open Access
Image
Year2022
Alt SeriesNatural Resources Canada, Contribution Series 20210474
PublisherElsevier
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
ProvinceAlberta
NTS82; 83; 84
AreaBuffalo Lake; Calgary; Canmore
Lat/Long WENS-120.0000 -110.0000 60.0000 49.0000
Subjectsmathematical and computational geology; GRID; grid sampling; topography; mapping techniques
Illustrationsflow diagrams; figures; location maps; tables
ProgramGeobase 2.0 High Resolution Data Exploitation
Released2022 09 01
AbstractDiscrete 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 ID329338

 
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