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 degrees C ( USGS) to 3.0 degrees 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.

Downscaling Landsat Land Surface Temperature over the urban area of Florence

Gioli Beniamino;Toscano Piero
2016

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 degrees C ( USGS) to 3.0 degrees 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.
2016
Istituto di Biometeorologia - IBIMET - Sede Firenze
Inglese
49
553
569
17
Land surface temperature
urban area
airborne data
Landsat images
downscaling
4
info:eu-repo/semantics/article
262
Bonafoni, Stefania; Anniballe, Roberta; Gioli, Beniamino; Toscano, Piero
01 Contributo su Rivista::01.01 Articolo in rivista
none
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/397665
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