Published: July 16, 2024

In this work is proposed a new unsupervised method to evaluate the behavior of urban green areas in presence heatwave scenarios analyzing NDVI, NDMI and LST satellite data. To how these three indices characterize during periods heat waves, reclassification data raster each index carried out. Rather than using standard classifications indices, an classification approach that uses Elbow determine optimal number classes Jenks thematic method. Each class assigned Gaussian fuzzy set with means deviations equal associated class. The are classified zonal statistics operators degree membership corresponding used assess reliability classification. Finally, for type greenery frequencies belonging analyzed heatwaves. framework was tested area consisting city Naples (Italy). results show some types greenery, such as deciduous forests olive groves, not very vulnerable scenarios, unlike uncultivated which, instead, critical behaviors

Language: Английский