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

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Cultural heritage; Google Earth Engine; Machine learning; Matera
List of contributors:
Danese, Maria; Biscione, Marilisa; Gioia, Dario
Authors of the University:
BISCIONE MARILISA
DANESE MARIA
GIOIA DARIO
Handle:
https://iris.cnr.it/handle/20.500.14243/444462
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URL

https://link.springer.com/chapter/10.1007/978-3-030-86970-0_42
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