Work

Windowed anisotropic local inverse distance-weighted (WALID) interpolation method for riverbed mapping

Year: 2024

Type: article

Abstract: Digital elevation models (DEMs) are pivotal in river engineering and management, making their accuracy paramount. This paper introduces a novel interpolation method that addresses the challenges of data point distributions, anisotropic river topography, and meandering rivers. The windowed anisotropic local inverse distance-weighted (WALID) method is tested and compared with conventional methods through a case study. Elevation data are generated from multi-beam echosounder data to mimic conventional cross-sectional measurements, while ground truth data provides qualitative comparisons. Root-mean-square error and volumetric differences are used as criteria for validation and comparison. Sensitivity analysis of the method’s free parameters demonstrated its robustness. Notably, the proposed algorithm exhibited superior volumetric accuracy compared to other methods when considering literature recommendations for optimal transect spacing.

Source: Acta Geophysica

DOI: 10.1007/s11600-024-01510-4

Author: Gábor Fleit

Institutions: Budapest University of Technology and Economics, Hungarian Research Network

Language: English

Topic: Soil Geostatistics and Mapping

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,990

Funders: Magyar Tudományos Akadémia, Magyarország Kormánya, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, National Research, Development and Innovation Office