Fusing LiDAR Observations with Remote-sensing Analysis for finding “beauty” in the city

Descrizione del progetto

Misurare ciò che fa sì che in città ci si senta a casa

La vita in città può sembrare caotica: troppo rumore, troppo poco verde e nessuna chiarezza su ciò che rende un quartiere veramente vivibile. Gli urbanisti spesso faticano ad acquisire un quadro completo poiché gli strumenti di misurazione della qualità della vita si concentrano in genere su un solo fattore alla volta. Il progetto FLORA, finanziato dal CER, combinerà dati provenienti da LiDAR, immagini satellitari, SIG e indagini sulla percezione locale costruendo in particolare una dashboard interattiva al fine di valutare la bellezza, la salute e la vivibilità delle città. Questo strumento antropocentrico non rispecchia solamente i dati concreti, ma anche la percezione sentita dalle persone in merito al luogo in cui vivono. Grazie a FLORA, i responsabili politici hanno la possibilità di comprendere in maniera migliore ciò che fa prosperare gli spazi urbani e prendere decisioni che migliorano realmente la vita sul territorio.

Obiettivo

The FLORA project aims to develop a comprehensive, multidimensional indicator dashboard (“FLORA dashboard”) that combines data from LiDAR, remote sensing, GIS, and human perception surveys to assess and enhance urban environments. The project seeks to address the need for a holistic tool that integrates diverse data sources to capture and score urban aesthetic perception, liveability, and health, ultimately aiding urban planners and public health officials in making data-driven decisions to improve quality of life in cities. Urban environments are complex, with multiple factors—such as green spaces, traffic patterns, air quality, and building structures—affecting the well-being of residents. Existing assessment tools are often limited to specific factors, lacking the ability to synthesize data from multiple sources into a comprehensive view of urban health and aesthetics.

The breakthrough innovation of FLORA lies in its ability to merge multiple data sources into a single, cohesive assessment platform. Key innovations include:
1. Multisource Data Integration: Combining LiDAR, remote sensing, and human perception data for a comprehensive understanding of urban environments.
2. Multidimensional Indicators: Creating integrated metrics for urban beauty, liveability, and health, facilitating targeted urban interventions.
3. Human-Centred Approach: Including subjective data from residents to ensure that assessments reflect lived experiences and community needs.

The FLORA dashboard will drive evidence-based policy-making and foster proactive urban health strategies. FLORA’s innovative approach entails challenges, such as data integration and interdisciplinary collaboration, but also promises high gains in setting new standards for urban health assessment. The potential of FLORA to revolutionize urban planning and public health strategies through data-driven, human-centred insights makes it a high-impact project with significant societal benefits.