Towards a framework for terrain attribute selection in environmental studies. (March 2017)

• Record Type: Journal Article
• Authors: Lecours, Vincent; Devillers, Rodolphe; Simms, Alvin E.; Lucieer, Vanessa L.; Brown, Craig J.
• Is Part Of: Environmental modelling & software. Volume 89(2017)
• Page Start: 19
• Page End: 30
• Publication Date: 2017-03
• Subjects: Bathymetry -- Geomorphometry -- Surrogacy -- Terrain analysis -- Terrain attributes -- Topography; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2016.11.027
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Terrain attributes ( e.g. slope, rugosity) derived from digital terrain models are commonly used in environmental studies. The increasing availability of GIS tools that generate those attributes can lead users to select a sub-optimal combination of terrain attributes for their applications. Our objectives were to identify sets of terrain attributes that best capture terrain properties and to assess how they vary with surface complexity. 230 tools from 11 software packages were used to derive terrain attributes from nine surfaces of different topographic complexity levels. Covariation and independence of terrain attributes were explored using three multivariate statistical methods. Distinct groups of correlated terrain attributes were identified, and their importance in describing a surface varied with surface complexity. Terrain attributes were highly covarying and sometimes ambiguously defined within software documentation. We found that a combination of six to seven particular terrain attributes always captures more than 70% of the topographic structure of surfaces. Highlights: Terrain attributes computed from GIS tools are highly multicollinear. Terrain attributes can be ambiguously defined within GIS software documentation. Using 6–7 specific terrain attributes captures most of the topographic structure. They are related to slope, orientation, rugosity, relative position, and elevation. Their importance in describing a surface varies with surface complexity.