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Exploratory Analysis of Urban Climate Using a Gap-Filled Landsat 8 Land Surface Temperature Data Set.
Cheval, Sorin; Dumitrescu, Alexandru; Amihaesei, Vlad-Alexandru.
Afiliación
  • Cheval S; Meteo Romania (National Meteorological Administration), 013686 Bucharest, Romania.
  • Dumitrescu A; Henri Coanda Air Force Academy, 500187 Brașov, Romania.
  • Amihaesei VA; Research Institute of the University of Bucharest, 050663 Bucharest, Romania.
Sensors (Basel) ; 20(18)2020 Sep 17.
Article en En | MEDLINE | ID: mdl-32957667
The Landsat 8 satellites have retrieved land surface temperature (LST) resampled at a 30-m spatial resolution since 2013, but the urban climate studies frequently use a limited number of images due to the problems related to missing data over the city of interest. This paper endorses a procedure for building a long-term gap-free LST data set in an urban area using the high-resolution Landsat 8 imagery. The study is applied on 94 images available through 2013-2018 over Bucharest (Romania). The raw images containing between 1.1% and 58.4% missing LST data were filled in using the Data INterpolating Empirical Orthogonal Functions (DINEOF) algorithm implemented in the sinkr R packages. The resulting high-spatial-resolution gap-filled land surface temperature data set was used to explore the LST climatology over Bucharest (Romania) an urban area, at a monthly, seasonal, and annual scale. The performance of the gap-filling method was checked using a cross-validation procedure, and the results pledge for the development of an LST-based urban climatology.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Rumanía Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Rumanía Pais de publicación: Suiza