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Remote Sens. 2015, 7(4), 4139-4156; doi:10.3390/rs70404139

Urban Surface Temperature Time Series Estimation at the Local Scale by Spatial-Spectral Unmixing of Satellite Observations

1
DICII, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
2
Foundation for Research and Technology Hellas, N.Plastira 100, Vassilika Vouton, 70013 Heraklion, Greece
3
European Space Agency, Via Galileo Galilei, 00044, Frascati, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Zhao-Liang Li, Jose A. Sobrino, Xiaoning Song, Clement Atzberger, Richard Müller and Prasad S. Thenkabail
Received: 31 December 2014 / Revised: 26 March 2015 / Accepted: 1 April 2015 / Published: 7 April 2015
(This article belongs to the Special Issue Recent Advances in Thermal Infrared Remote Sensing)
View Full-Text   |   Download PDF [4671 KB, uploaded 17 April 2015]   |  

Abstract

The study of urban climate requires frequent and accurate monitoring of land surface temperature (LST), at the local scale. Since currently, no space-borne sensor provides frequent thermal infrared imagery at high spatial resolution, the scientific community has focused on synergistic methods for retrieving LST that can be suitable for urban studies. Synergistic methods that combine the spatial structure of visible and near-infrared observations with the more frequent, but low-resolution surface temperature patterns derived by thermal infrared imagery provide excellent means for obtaining frequent LST estimates at the local scale in cities. In this study, a new approach based on spatial-spectral unmixing techniques was developed for improving the spatial resolution of thermal infrared observations and the subsequent LST estimation. The method was applied to an urban area in Crete, Greece, for the time period of one year. The results were evaluated against independent high-resolution LST datasets and found to be very promising, with RMSE less than 2 K in all cases. The developed approach has therefore a high potential to be operationally used in the near future, exploiting the Copernicus Sentinel (2 and 3) observations, to provide high spatio-temporal resolution LST estimates in cities. View Full-Text
Keywords: land surface temperature; local scale; urban surface emissivity; urban climate; spatial-spectral unmixing; downscaling land surface temperature; local scale; urban surface emissivity; urban climate; spatial-spectral unmixing; downscaling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Mitraka, Z.; Chrysoulakis, N.; Doxani, G.; Del Frate, F.; Berger, M. Urban Surface Temperature Time Series Estimation at the Local Scale by Spatial-Spectral Unmixing of Satellite Observations. Remote Sens. 2015, 7, 4139-4156.

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