Proglacial areas are one of the most rapidly changing ecosystems due to glacier and permafrost degradation. To better understand these environments and their dynamics, bathymetric mapping is a necessary step in hydraulic modelling. This is essential for assessing water quality, sediment and pollutant movement, and evaluating habitats. This thesis aims to evaluate the effectiveness of a geographically weighted regression (GWR) model, which can capture a spatially heterogeneous relationship between inputs and an output, to retrieve bathymetry of a shallow proglacial lake, of which water depth is less than about 1 m, from RGB and multispectral imagery. The case study is a system of proglacial channelized streams joining in a shallow lake originating from the melting of the Rutor alpine glacier, in Valle d’Aosta.