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L’analisi è basata sulla combinazione di dati derivanti dall’elaborazione di immagini satellitari (Landsat 8-9) e di dati relativi alla distribuzione spaziale della popolazione (fonte censimento ISTAT 2011).
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2) NDVI (Normalized Difference Vegetation Index), un indice vegetazionale in grado di evidenziare la presenza di vegetazione
3) Vulnerabilità dei centri urbani alle isole di calore.

Per una migliore consultazione, sono disponibili in scarico anche due allestimenti cartografici in formato pdf per ogni comune oggetto dello studio.</gco:CharacterString>
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                    <gmx:Anchor xlink:href="http://data.europa.eu/eli/reg/2010/1089">REGOLAMENTO (UE) N. 1089/2010 DELLA COMMISSIONE del 23 novembre 2010 recante attuazione della direttiva 2007/2/CE del Parlamento europeo e del Consiglio per quanto riguarda l'interoperabilità dei set di dati territoriali e dei servizi di dati territoriali</gmx:Anchor>
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            <gco:CharacterString>Lo studio ha previsto la combinazione di dati derivanti dall’elaborazione di una serie di immagini satellitari, dalle quali sono state desunte mappe di indice spettrale, e dai dati relativi alla distribuzione spaziale della popolazione maggiormente esposta agli effetti delle ondate di calore estive derivate dai dati demografici associati alle sezioni censuarie ISTAT. 
Gli indici desunti dall’analisi satellitare LANDSAT 8 relativi all'estate 2019 sono: 
1) LST (Land Surface Temperature) ovvero la temperatura della superficie del suolo, in grado di fornire l’informazione base relativa alla distribuzione delle temperature nello spazio;
2) NDVI (Normalized Difference Vegetation Index), un indice vegetazionale in grado di evidenziare la presenza di vegetazione a terra e ritenuto strategico in quanto in grado di descrivere gli effetti “benefici” generati dalla presenza di vegetazione, in termini di diminuzione delle temperature al suolo, 

Il dato è stato generato utilizzando tre tile Landsat 8-9 per il periodo di maggior suscettibilità alla generazione di isole di calore (giugno-settembre) utilizzando le bande 4-5-10; in particolare le Bande 4 e 5 per generare NDVI e la Banda 10 per generare LST.
Successivamente i dati sono stati incrociati con i dati del censimento ISTAT 2011, relativamente alla popolazione di età minore di 10 anni e maggiore di  65 anni, suddivisa per area censuaria  
I quattro raster (LST, NDVI, Popolazione inferiore minore 10 anni, Popolazione maggiore 65 anni) sono stati normalizzati tra 0 e 100, evidenziando con il 100 le caratteristiche "più negative". 
La formula utilizzata è:
(LST_N * 2 * NDVI_N * POP10_N * 0.5 x POP65_N * 0.5) / 4.

Per l'allestimento cartografico relativo alla Vulnerabilità (indice compreso tra 0 e 1), per comodità di lettura sono state individuate cinque classi:
1) &lt; 50  ---&gt; Vulnerabilità Bassa
2) 50 - 60 ---&gt; Vulnerabilità Media
3) 60 - 70 ---&gt; Vulnerabilità Media-Alta
4) 70 - 80 ---&gt; Vulnerabilità Alta
5) &gt; 80 ---&gt; Vulnerabilità Molto Alta

Le mappe di Vulnerabilità alle isole di calore per i 71 centri urbani oggetto dello studio possono quindi essere utili per orientare le scelte urbanistiche nell’individuare le aree più sensibili ove realizzare opportuni interventi di trasformazione (infrastrutture verdi).</gco:CharacterString>
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