**7. Concluding remarks**

This Chapter commented on the use of Earth observation data along with ground meteoro‐ logical data for the study of the UHI phenomenon in Cyprus. The synoptic conditions favor‐ ing the development of heat wave events were discussed. Neural Network analysis was used for classifying synoptic patterns and relate them with heat events. The majority of the heat events have occurred during the transition periods (Spring and Autumn). However, despite the fact that some clusters can be associated with such phenomena the connection between these events and atmospheric circulation at 500hPa did not give clear results.

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Furthermore, an attempt was made in order to correlate ground temperature measurements and MODIS LST data. The results have shown that the methodology can perform sufficient‐ ly; however, further refinement is needed in order to improve this approach.

Aqua MODIS retrievals of land surface temperature data were used for studying selective heat wave events. The analysis of LST data depicted the regions that are more prone to such events. The spatial variations of the UHI magnitude was also examined for the major cities of Cyprus, during both mean monthly conditions and for selected events, identifying areas that are most vulnerable.
