Angeliki Makellaraki
High-Density LiDAR Data Analysis for Urban Flood Assessment.
Rel. Piero Boccardo, Francesco Laio. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Per L'Ambiente E Il Territorio, 2024
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Abstract
Urban areas are facing growing challenges associated with climate change, necessitating the adoption of advanced tools such as Lidar technology and Geographic Information System (GIS) to effectively assess and mitigate these issues. The aim of this study focuses on the use of such tools to generate high-resolution terrain representations, including Digital Terrain Models (DTM) and Digital Surface Models (DSM), and to conduct a comprehensive hydrological analysis of the Meisino Park in Turin, Italy, an area historically susceptible to flooding events. Lidar data, provided by the SDG11LAB laboratory of the Polytechnic School of Turin (DIST), have been used to produce precise digital elevation models by capturing elevation data for thousands of points across the terrain, enabling highly accurate analysis, 1m/pixel.
Given that the Lidar instrument cannot penetrate the water surface, supplementary data on the river area have been collected from different sources to obtain a complete digital elevation model
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