Downscaling Landsat Land Surface Temperature over the urban area of Florence. Issue 1 (1st January 2016)

• Record Type: Journal Article
• Authors: Bonafoni, Stefania; Anniballe, Roberta; Gioli, Beniamino; Toscano, Piero
• Is Part Of: European journal of remote sensing. Volume 49:Issue 1(2016)
• Page Start: 553
• Page End: 569
• Publication Date: 2016-01-01
• Subjects: Land surface temperature -- urban area -- airborne data -- Landsat images -- downscaling; Remote sensing -- Periodicals; Remote sensing; Electronic journals; Periodicals; 621.3678
• DOI: 10.5721/EuJRS20164929
• Languages: English
• ISSNs: 2279-7254

Abstract

Abstract: 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: therefore 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.