Identification and analysis of urban surface temperature patterns in Greater Athens, Greece, using MODIS imagery

Keramitsoglou, I; Kiranoudis, CT; Ceriola, G; Weng, Q; Rajasekar, U

dc.contributor.author	Keramitsoglou, I	en
dc.contributor.author	Kiranoudis, CT	en
dc.contributor.author	Ceriola, G	en
dc.contributor.author	Weng, Q	en
dc.contributor.author	Rajasekar, U	en
dc.date.accessioned	2014-03-01T02:02:19Z
dc.date.available	2014-03-01T02:02:19Z
dc.date.issued	2011	en
dc.identifier.issn	00344257	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29304
dc.subject	Data mining	en
dc.subject	Land Surface Temperature	en
dc.subject	MODIS	en
dc.subject	Object-based analysis	en
dc.subject	Urban Heat Island	en
dc.subject.other	Athens , Greece	en
dc.subject.other	Automatic extraction	en
dc.subject.other	Greater athens area , greece	en
dc.subject.other	Highly-correlated	en
dc.subject.other	Hotspots	en
dc.subject.other	Land surface temperature	en
dc.subject.other	Maximum temperature	en
dc.subject.other	Mean intensity	en
dc.subject.other	MODIS	en
dc.subject.other	MODIS imagery	en
dc.subject.other	MODIS sensors	en
dc.subject.other	Object based	en
dc.subject.other	Object based image analysis	en
dc.subject.other	Scientific community	en
dc.subject.other	Spatial extent	en
dc.subject.other	Suburban areas	en
dc.subject.other	Summer season	en
dc.subject.other	Surface pattern	en
dc.subject.other	Thermal infrared images	en
dc.subject.other	Thermal patterns	en
dc.subject.other	Urban fabrics	en
dc.subject.other	Urban heat island	en
dc.subject.other	Urban surface temperature	en
dc.subject.other	Atmospheric temperature	en
dc.subject.other	Atmospherics	en
dc.subject.other	Data mining	en
dc.subject.other	Infrared imaging	en
dc.subject.other	Landforms	en
dc.subject.other	Radiometers	en
dc.subject.other	Surface measurement	en
dc.subject.other	Surface properties	en
dc.subject.other	Image processing	en
dc.subject.other	identification method	en
dc.subject.other	image analysis	en
dc.subject.other	mathematical analysis	en
dc.subject.other	MODIS	en
dc.subject.other	satellite imagery	en
dc.subject.other	suburban area	en
dc.subject.other	surface temperature	en
dc.subject.other	temperature effect	en
dc.subject.other	Athens [Attica]	en
dc.subject.other	Attica	en
dc.subject.other	Greece	en
dc.title	Identification and analysis of urban surface temperature patterns in Greater Athens, Greece, using MODIS imagery	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.rse.2011.06.014	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.rse.2011.06.014	en
heal.publicationDate	2011	en
heal.abstract	Thermal infrared images are being acquired by satellites for more than two decades enabling studies of the human-induced Urban Heat Island (UHI) phenomenon. As a result, the requirement of the scientific community for fast and efficient methods for extracting and analyzing the thermal patterns from a vast volume of acquired data has emerged. The present paper proposes an innovative object-based image analysis procedure to extract thermal patterns for the quantitative analysis of satellite-derived Land Surface Temperature (LST) maps. The spatial and thermal attributes associated with these objects are then calculated and used for the analyses of the intensity, the position and the spatial extent of UHIs. A case study was conducted in the Greater Athens Area, Greece. More than 3000 LST images of the area acquired by MODIS sensor over a decade were analyzed. Three daytime hot-spots were identified and studied (Megara, Elefsina-Aspropyrgos and Mesogeia). They were all found to exhibit similar behavior, gradually increasing their maximum temperature during the summer season and reaching their maxima in mid-July. The hot-spots' thermal intensities compared to a suburban area were of 9-10°C and were found to be highly correlated to their areal extent. During the night-time, Athens center developed a typical UHI spatially coinciding with the dense urban fabric. The nighttime maximum LST peaked (on average) at the end of July, two weeks later than the daytime surface patterns. The mean spatial extent of UHI in Athens was 55.2km2, whilst its mean intensity was 5.6°C. The proposed automatic extraction process can be customized for other cities and potentially used for comparison of LST patterns and UHI behavior between different cities. © 2011 Elsevier Inc.	en
heal.journalName	Remote Sensing of Environment	en
dc.identifier.doi	10.1016/j.rse.2011.06.014	en
dc.identifier.volume	115	en
dc.identifier.issue	12	en
dc.identifier.spage	3080	en
dc.identifier.epage	3090	en