Location
Mori Hosseini Student Union & Events Center (Rooms - TBD)
Keywords
UAS, Satellite Landsat, Remote Sensing, LST, Urban Heat
Presenter Abstract
Coastal urban environments exhibit complex surface temperature patterns driven by interactions among water, vegetation, and built infrastructure. This study investigates land surface temperature (LST) variability along a coastal-to-urban transect in Parque de los Niños, Buenos Aires, by integrating multi-year satellite Landsat LST with high-resolution thermal data collected from an uncrewed aircraft system (UAS). Landsat provides the temporal depth necessary to assess seasonal and interannual variability in surface temperature, including responses to extreme summer conditions. However, their spatial resolution limits the ability to resolve fine-scale thermal gradients near shoreline boundaries and within heterogeneous urban landscapes. UAS thermal observations address this limitation by capturing detailed spatial variability at much finer scales, particularly within the near-coastal zone where temperature gradients are strongest. By combining satellite and UAS datasets, this study evaluates how coastal water and vegetated surfaces influence urban heat patterns and how these effects vary across time. The results highlight the value of UAS-derived thermal data for improving the accuracy and interpretation of satellite-based LST measurements. This work demonstrates the importance of integrating UAS into remote sensing workflows which directly supports ISARRA’s mission to advance the application of remotely piloted systems in scientific research and environmental monitoring of complex urban systems.
Presentations
Presented in Session 9: Field Campaigns
Spatiotemporal Assessment of Coastal Urban Heat in Buenos Aires Using Satellite Landsat LST
Mori Hosseini Student Union & Events Center (Rooms - TBD)
Coastal urban environments exhibit complex surface temperature patterns driven by interactions among water, vegetation, and built infrastructure. This study investigates land surface temperature (LST) variability along a coastal-to-urban transect in Parque de los Niños, Buenos Aires, by integrating multi-year satellite Landsat LST with high-resolution thermal data collected from an uncrewed aircraft system (UAS). Landsat provides the temporal depth necessary to assess seasonal and interannual variability in surface temperature, including responses to extreme summer conditions. However, their spatial resolution limits the ability to resolve fine-scale thermal gradients near shoreline boundaries and within heterogeneous urban landscapes. UAS thermal observations address this limitation by capturing detailed spatial variability at much finer scales, particularly within the near-coastal zone where temperature gradients are strongest. By combining satellite and UAS datasets, this study evaluates how coastal water and vegetated surfaces influence urban heat patterns and how these effects vary across time. The results highlight the value of UAS-derived thermal data for improving the accuracy and interpretation of satellite-based LST measurements. This work demonstrates the importance of integrating UAS into remote sensing workflows which directly supports ISARRA’s mission to advance the application of remotely piloted systems in scientific research and environmental monitoring of complex urban systems.