A self-adaptive two-parameter method for characterizing roughness of multi-scale subglacial topography
نویسندگان
چکیده
Abstract During the last few decades, bed-elevation profiles from radar sounders have been used to quantify bed roughness. Various methods employed, such as ‘two-parameter’ technique that considers vertical and slope irregularities in topography, but they struggle incorporate roughness at multiple spatial scales leading a breakdown their depiction of where relief is most complex. In this article, we describe new algorithm, analogous wavelet transformations, scales. The ‘Self-Adaptive Two-Parameter’ system calculates profile using frequency-domain method, allowing extraction three characteristic factors: (1) slope, (2) skewness (3) coefficient variation. multi-scale derived by weighted-summing these frequency-related factors. We use idealized elevations initially validate then actual data are compare index with other methods. show an effective tool for quantifying data, paving way improved continental-wide depictions incorporation information into ice flow models.
منابع مشابه
Surface Roughness of Topography: A Multi-Scale Analysis of Landform Elements in Midland Valley, Scotland
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ژورنال
عنوان ژورنال: Journal of Glaciology
سال: 2021
ISSN: ['0022-1430', '1727-5652']
DOI: https://doi.org/10.1017/jog.2021.12