This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.cageo.2008.12.014. This is version 1 of this Preprint.
Comparison of roving-window and search-window techniques for characterising landscape morphometry
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Abstract
Neighbourhood analysis in a Geographical Information System (GIS) calculates the value of a given raster cell from the values of its neighboring cells. Common operations include filtering (high-pass, low-pass, etc) and smoothing (mean, mode) of data, operations that can be done by means of roving-windows or search-windows. Digital terrain analysis (or geomorphometry) relies on neighbourhood operations to calculate morphometric variables such as slope, aspect, local relief or surface roughness (among many others) at scales ranging from local (i.e., single landforms) to regional (entire mountain chains).
The intent of this paper is to compare both techniques in a multi-scale study of geomorphometry, in central-eastern Brazil.
DOI
https://doi.org/10.31223/osf.io/x6brz
Subjects
Computer Sciences, Earth Sciences, Geographic Information Sciences, Geography, Geomorphology, Physical Sciences and Mathematics, Social and Behavioral Sciences, Spatial Science, Theory and Algorithms
Keywords
Morphometric analysis, GRASS-GIS, Moving-window, Roving-window
Dates
Published: 2017-10-31 07:38
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