Zaragoza, November 2024

Local data from Zaragoza enables mapping heat islands and vulnerabilities

The first version of the surface temperature viewer (based on Sentinel data) and air temperature viewer (based on the thermo-hygrometric sensor network of the Climate, Water, Global Change, and Natural Systems Group from the Department of Geography at the University of Zaragoza) is now available.

The data source for this service is defined by WMS services for:

Ambient Temperature: https://idezar-sig.zaragoza.es/servicios/geonetwork/srv/spa/catalog.search#/metadata/8958f6f7-e4b2-40be-838c-50bb29c63c55

Surface Temperature: https://idezar-sig.zaragoza.es/servicios/geonetwork/srv/spa/catalog.search#/metadata/dec82877-aa58-4f6f-a5a2-694a5082c5bc

A second version of this viewer is currently in development. On the one hand, the goal is to enhance usability through collaborative efforts with the Cátedra de Diseño de Servicios at the University of Zaragoza. On the other hand, at the beginning of the year, it is planned to incorporate information regarding the Vulnerability Indicator for the years 2022 and 2024 into the viewer. This work is being carried out by researcher Sergio Valdivielso within the framework of the Cátedra de Territorio, Sociedad y Visualización Geográfica at the University of Zaragoza.

This indicator aims to be a useful tool for assessing different profiles of fragility or vulnerability at various scales. By identifying these profiles in great detail using thematic cartography, it enables the identification of different levels of fragility within the territory. This information can serve as a reference for prioritizing or evaluating specific actions. When used by the competent authorities, it can contribute to the efficiency of policies and initiatives—whether in assistance or other areas—that seek to minimize inequalities.

The development of this viewer and its associated Vulnerability Indicator within the USAGE project highlights its critical role in addressing local challenges in Zaragoza. By focusing on the city and its surrounding territory, the project ensures that tools like these are deeply rooted in local data and conditions, fostering targeted and impactful policy actions.