Paper Info
Title
Air surface temperature estimation from satellite thermal infrared time series and pixelwise modeling of the estimation uncertainty through support vector machines
Abstract
Accurately mapping air temperature near the Earth surface plays a primary role in weather and climate studies and for solar energy planning and production. Remote sensing allows spatially distributed estimates of air temperature to be computed, thus complementing the spatially sparse observations collected by ground stations. In this paper, a novel method for periodic (e.g., daily or monthly) air-temperature estimation from satellite images is proposed. It is based on support vector machines (SVMs) and generalizes, to the case of air temperature, a recently developed SVM-based approach to land and sea surface temperature estimation. Case-specific techniques aimed at computing periodic statistics of air temperature and based on the expectation-maximization algorithm are also integrated in the proposed approach. The method also allows the statistics of the estimation error to be modeled on a pixelwise basis by combining nonstationary stochastic processes and Clark's variance approximation. Experimental results with MSG-SEVIRI and MétéoFrance data acquired over Provence-Alpes-Côte d'Azur (France) are presented.
Year
DOI
Venue
2014
10.1109/IGARSS.2014.6947605
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
atmospheric temperature,land surface temperature,ocean temperature,remote sensing,Clark variance approximation,Earth surface,France,MSG-SEVIRI data,MeteoFrance data,Provence-Alpes-Cote d'Azur,SVM-based approach,air surface temperature estimation,air temperature mapping,air temperature periodic statistics,case-specific techniques,climate study,estimation error statistics,estimation uncertainty,expectation-maximization algorithm,land surface temperature estimation,nonstationary stochastic processes,pixelwise modeling,remote sensing,satellite thermal infrared time series,sea surface temperature estimation,solar energy planning,solar energy production,support vector machines,weather study,Air temperature estimation,Clark's approximation,expectation-maximization,nonstationary parameter estimation,span bound,support vector machine
Satellite,Thermal infrared,Computer science,Remote sensing,Support vector machine
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Gabriele Moser191976.92
Michaela De Martino2144.28
Serpico, S.B.356048.52