This thesis aims to develop a suitable methodology to evaluate the impact of green infras- tructures on the historical architectural heritage in an urban context, with particular focus on the city of Treviso. We intend to use satellite tools through the Google Earth Engine platform to collect data on temperature and NDMI(an index correlated to humidity), over a period of 10 years, as indices that can most influence the conservation of historical build- ings. Six historic buildings that meet the necessary criteria were selected throughout the city: De Amicis Primary School, St. Catherine Museum, Bailo Museum, the City Hall and the Ca’Foscari University of Venice. Data will be acquired using the Landsat remote sensing satellite with a spatial resolution of 30m, therefore, fine enough to try to understand the possible influence on the conservation of the building, and to observe the difference between the part of the masonry facing the green infrastructure and that facing the urban area. Risk sheets will also be compiled for each building with reference to Art Risk 3.0 and the ICOMOS guidelines.This research represents the first step within the JPI ATLAS European project carried out in collaboration with the Pablo de Olavide University of Seville.
Green Infrastructure and Cultural Heritage: Impact and opportunities for historical buildings in Treviso
CHIARELLO, GIACOMO
2023/2024
Abstract
This thesis aims to develop a suitable methodology to evaluate the impact of green infras- tructures on the historical architectural heritage in an urban context, with particular focus on the city of Treviso. We intend to use satellite tools through the Google Earth Engine platform to collect data on temperature and NDMI(an index correlated to humidity), over a period of 10 years, as indices that can most influence the conservation of historical build- ings. Six historic buildings that meet the necessary criteria were selected throughout the city: De Amicis Primary School, St. Catherine Museum, Bailo Museum, the City Hall and the Ca’Foscari University of Venice. Data will be acquired using the Landsat remote sensing satellite with a spatial resolution of 30m, therefore, fine enough to try to understand the possible influence on the conservation of the building, and to observe the difference between the part of the masonry facing the green infrastructure and that facing the urban area. Risk sheets will also be compiled for each building with reference to Art Risk 3.0 and the ICOMOS guidelines.This research represents the first step within the JPI ATLAS European project carried out in collaboration with the Pablo de Olavide University of Seville.File | Dimensione | Formato | |
---|---|---|---|
Master Degree Thesis_Chiarello_Giacomo_877538.pdf
non disponibili
Dimensione
6.51 MB
Formato
Adobe PDF
|
6.51 MB | Adobe PDF |
I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/20.500.14247/24937