4.5 Article

Coupling Historical Maps and LiDAR Data to Identify Man-Made Landforms in Urban Areas

Journal

Publisher

MDPI
DOI: 10.3390/ijgi10050349

Keywords

urban geomorphology; anthropogenic landforms; old maps; contour lines; Genoa

Funding

  1. Programma Operativo Regione Liguria 2014-2020 - Fondo Sociale Europeo-Asse 3 Istruzione e Formazione [RLOF18ASSRIC/60/1]

Ask authors/readers for more resources

This research aims to assess the morphological evolution of the city of Genoa by comparing 19th-century cartography with modern topography, and the results were validated through direct observation and regional database data.
In recent years, there has been growing interest in urban geomorphology both for its applications in terms of landscape planning, and its historical, cultural, and scientific interest. Due to recent urban growth, the identification of landforms in cities is difficult, particularly in Mediterranean and central European cities, characterized by more than 1000 years of urban stratification. By comparing and overlapping 19th-century cartography and modern topography from remote sensing data, this research aims to assess the morphological evolution of the city of Genoa (Liguria, NW Italy). The analysis focuses on a highly detailed 1:2'000 scale map produced by Eng. Ignazio Porro in the mid-19th century. The methodology, developed in QGIS, was applied on five case studies of both hillside and valley floor areas of the city of Genoa. Through map overlay and digitalization of elevation data and contour lines, it was possible to identify with great accuracy the most significant morphological transformations that have occurred in the city since the mid-19th century. In addition, the results were validated by direct observation and by drills data of the regional database. The results allowed the identification and quantification of the main anthropic landforms. The paper suggests that the same methodology can be applied to other historical urban contexts characterized by urban and architectural stratification.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available