Mémoires de la Faculté des Géosciences et de l'Environnement

Cote: 1305
Auteur: FEMMINIS Melinda
Année: Juin 2024
Titre: BathyFlowDEM: development of a QGIS plugin to interpolate bathymetric data in flow-oriented coordinate system
Sous la direction de: Dr Christian Kaiser
Type: Mémoire de master en géographie
Pages: 46
Complément:
Fichier PDF: PDF  Mémoire [12 Mo]
Mots-clés: Spatial interpolation / anisotropic interpolation / directional variability / riverbed modelling / geospatial analysis / bathymetry
Résumé: BathyFlowDEM is an open-source QGIS plugin designed to interpolate bathymetric data with anisotropic considerations. It is fully integrated into QGIS and doesn’t rely on external Python libraries. The tool first converts input data points to a (s,n) flow-oriented coordinate system, also called curvilinear orthogonal coordinate system, optimizing the spatial context for interpolation. It then generates new data points whose depth values are interpolated using Inverse Distance Weighting (IDW) with directional anisotropy and creates a raster layer output representing the riverbed to- pography. This approach aims to enhance the quality of the river surfaces generated from bathymetric input data points. The parameters that are user-defined are the anisotropy ratio, final raster cell size, region of in- terest and IDW’s search radius. Model validation functionalities are also available directly within the plugin. Plugin’s repository: https://github.com/melindafemminis/BathyFlowDEM