Announcement: Panagiotis Sismanidis' presentation in the master colloquium on 15th of October
– 20. September 2019
Greek Scientist Panagiotis Sismanidis from the Institue for Astronomy, Astrophysics, Space Applications and Remote Sensing of the National Observatory of Athens will visit the Urban Climate group in October. During his stay he will do a presentation in the master colloquium on 15th of October at 4:15 pm, room IA 1/117 with the following topic:
Using Geostationary Thermal Image Data to Study the Urban Climate and its Impact on City Functions
Urban areas are warmer than their surrounding rural areas. This is known as the Urban Heat Island (UHI) effect and impacts the energy demand of buildings, the environment and the human health. UHIs exhibit strong spatial and temporal variations and their study requires temperature data that combine high spatial (100-200 m) and temporal resolution (<1-2 h). Remotely sensed thermal image data have proven a valuable tool for urban climate studies, mostly because they can cover large areas effectively and inexpensively. Using satellite thermal data, the land surface temperature (LST) is retrieved, which allows the study of the surface UHI (SUHI). However, most remote sensing platforms that provide image data with the appropriate spatial resolution (less than 1 km) lack the desirable temporal resolution, e.g. Landsat (16 days revisit time). The only satellite instruments that can provide image data that capture the LST diurnal cycle are those onboard geostationary satellites; albeit with a very coarse spatial resolution. In this talk I will discuss how to overcome this problem by enhancing the spatial resolution of such datasets, using LST downscaling and LST spatiotemporal fusion---two methods that have received considerable attention in recent years. Furthermore, I will also discuss how to get an estimate of the surface air temperature (SAT) from such data, by assimilating them into numerical weather predictions. SAT is a more suitable variable for studying the UHI effects on energy demand and human health and thus more useful for this kind of applications. To that end, I will also present two examples of how satellite-based SAT can be used in urban climate applications, the first concerning the risk of excess heat on human health and the second the energy demand.
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