Very high‐resolution digital elevation models: are multi‐scale derived variables ecologically relevant?
نویسندگان
چکیده
منابع مشابه
Very High Resolution Digital Elevation Models: Are Multi- Scale Derived Variables Ecologically Relevant? Very High Resolution Digital Elevation Models: Are Multi-scale Derived Variables Ecologically Relevant? 3 Short Running Title: Ecological Relevance of Vhr Dem-derived Variables 4
• Digital Elevation Models (DEMs) are often used in landscape ecology to retrieve elevation or first derivative terrain attributes such as slope or aspect in the context of species distribution modelling. However, DEMderived variables are scale-dependent and, given the increasing availability of very high resolution (VHR) DEMs, their ecological relevance must be assessed for different spatial r...
متن کاملVery high-resolution digital elevationmodels: are multi-scale derived variables ecologically relevant?
multi-scale derived variables ecologically relevant? Kevin Leempoel*, Christian Parisod, C elineGeiser, LucasDapr a, Pascal Vittoz and St ephane Joost Laboratory of Geographic Information Systems (LASIG), School of Civil and Environmental Engineering (ENAC), Ecole Polytechnique F ed erale de Lausanne (EPFL), Bâtiment GC, Station 18, 1015 Lausanne, Switzerland; Laboratory of evolutionary botany,...
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We study the accuracy of data on some local topographic attributes derived from digital elevation models (DEMs). First, we carry out a test for the precision of four methods for calculation of partial derivatives of elevations. We ® nd that the Evans method is the most precision algorithm of this kind. Second, we produce formulae for root mean square errors of four local topographic variables (...
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In this paper, the characterization of catchments extracted from multiscale digital elevation models (DEMs) is performed. First, the lifting scheme is employed to generate multiscale DEMs. The catchments extracted from the generated multiscale DEMs are then characterized based on their numbers. A power law relationship is derived between the number of extracted catchments and the kernel size. T...
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This paper explores a methodology for quantifying the uncertainty of DEMs created by digitising topographic maps. The origins of uncertainty in DEM production were identified and examined. The uncertainty of DEM data was quantified by computing a vector total of Root Mean Square Error (RMSE) from the source map, sampling and measurement errors, and the interpolation process. Distributional meas...
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ژورنال
عنوان ژورنال: Methods in Ecology and Evolution
سال: 2015
ISSN: 2041-210X,2041-210X
DOI: 10.1111/2041-210x.12427