Downscaling Landsat Land Surface Temperature over the urban area of Florence

Stefania Bonafoni, Roberta Anniballe, Beniamino Gioli, Piero Toscano
2016 European Journal of Remote Sensing  
A new downscaling algorithm for land surface temperature (LST) images retrieved from Landsat Thematic Mapper (TM) was developed over the city of Florence and the results assessed against a high-resolution aerial image. The Landsat TM thermal band has a spatial resolution of 120 m, resampled at 30 m by the US Geological Survey (USGS) agency, whilst the airborne ground spatial resolution was 1 m. Substantial differences between Landsat USGS and airborne thermal data were observed on a 30 m grid:
more » ... herefore a new statistical downscaling method at 30 m was developed. The overall root mean square error with respect to aircraft data improved from 3.3 °C (USGS) to 3.0 °C with the new method, that also showed better results with respect to other regressive downscaling techniques frequently used in literature. Such improvements can be ascribed to the selection of independent variables capable of representing the heterogeneous urban landscape.
doi:10.5721/eujrs20164929 fatcat:y3h43tfkezaerazdcslz66tmim