Exploratory Analysis of Urban Climate Using a Gap-Filled Landsat 8 Land Surface Temperature Data Set

Sensors

Vlad-Alexandru Amihaesei¹  Sorin Cheval¹  Alexandru Dumitrescu¹ 

[1] Meteo Romania (National Meteorological Administration), 013686 Bucharest, Romania;

关键词: land surface temperature;    urban climate;    Landsat 8;    filling missing data;    dineof;    Bucharest;   

DOI  :  10.3390/s20185336

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown