Cultural heritage risk assessment is an important task. Usually cultural heritage inside the consolidated city is more protected than cultural heritage spread over the territory. In this paper a method is proposed that integrates different technologies and platforms: from Google Earth Engine (GEE) and machine learning to desktop GIS and spatial analysis. The aim is to map the different vulnerability and hazard layers that constitute the cultural heritage risk map of the rural area in the Matera Municipality.

Integrated Methods for Cultural Heritage Risk Assessment: Google Earth Engine, Spatial Analysis, Machine Learning

Danese M;Gioia D;Biscione M
2021

Abstract

Cultural heritage risk assessment is an important task. Usually cultural heritage inside the consolidated city is more protected than cultural heritage spread over the territory. In this paper a method is proposed that integrates different technologies and platforms: from Google Earth Engine (GEE) and machine learning to desktop GIS and spatial analysis. The aim is to map the different vulnerability and hazard layers that constitute the cultural heritage risk map of the rural area in the Matera Municipality.
2021
Istituto di Scienze del Patrimonio Culturale - ISPC
Cultural heritage
Google Earth Engine
Machine learning
Matera
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/444462
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