Application of Airborne Hyperspectral and Thermal Images to Analyse Urban Microclimate

Urbanisation is a long standing problem and phenomenon all around the world. It means more and more challenges for scientists. Remote sensing techniques with high spectral and spatial resolution open novel approaches which enable the analysis of vegetated and non-vegetated urban surfaces with high heterogeneity. In this paper it is demonstrated how hyperspectral images and thermal maps can be used for detecting vegetated and built-in areas in a city. Methods were collected and developed that can describe different features of urban climate and ecological state. The most important vegetation indices and urban climate parameters were calculated: red-edge position values for green places, different NDVIs, defining the role of vegetation in surface temperature carried out by masking method, urban heat island intensity, horizontal surface temperature gradient by means of Fourier-transformation and classified thermal maps.