Although being the main driver of economic growth, cities have simultaneously contributed to the most serious increase of environmental degradation, being simultaneously targeted by Climate Change effects. In this scenario, decision makers are called to identify the best actions for mitigation and adaptation of urban spaces, exploiting innovative Information and Communication Technologies (ICT) resources and approaches. Based on the City Sensing approach, the aim of this paper is to present a case study that demonstrates how the application of integrated ICT frameworks - including free Copernicus satellites data, big data sources and cognitive techniques – to urban regeneration practices such as green infrastructures can support decision makers and citizens in order to create a knowledge community which is aware about air pollutants and carbon emissions of its neighbourhood. Making risk visible and shared will contribute to the modelling of a resilient, inclusive and sustainable city.

Green infrastructures and satellite images: the case study of Munich

Borga, Giovanni
;
Iodice, Filippo;
2021-01-01

Abstract

Although being the main driver of economic growth, cities have simultaneously contributed to the most serious increase of environmental degradation, being simultaneously targeted by Climate Change effects. In this scenario, decision makers are called to identify the best actions for mitigation and adaptation of urban spaces, exploiting innovative Information and Communication Technologies (ICT) resources and approaches. Based on the City Sensing approach, the aim of this paper is to present a case study that demonstrates how the application of integrated ICT frameworks - including free Copernicus satellites data, big data sources and cognitive techniques – to urban regeneration practices such as green infrastructures can support decision makers and citizens in order to create a knowledge community which is aware about air pollutants and carbon emissions of its neighbourhood. Making risk visible and shared will contribute to the modelling of a resilient, inclusive and sustainable city.
2021
9789526490045
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11578/309177
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