###### Abstract  
This study takes a unique approach, using satellite remote sensing to analyze the land surface temperature (LST) in seven coastal cities located at latitudes between 18\({}^{\circ}\) and 22\({}^{\circ}\) and longitudes between 106\({}^{\circ}\) and 91\({}^{\circ}\). The methodology consists of obtaining the LST on two selected days, one in July 2019 and one in July 2020, to determine how the temperature was modified by the atypical mobility caused by Coronavirus Disease 2019 (COVID-19) and social distancing. Using these data, we determine the representative surface temperature that tended to rise (RHST) and the representative surface temperature that tended to decrease (RLST), depending on the affected area. This approach allows us to comprehensively compare how mobility modified the four variables studied: territorial extension, population, types of soil (paving), and vegetation. We concluded that, among the factors analyzed, the types of paving and vegetation were those that generated a more significant decrease in temperature; the variables of territorial extension and the number of inhabitants had a smaller impact. This study paves the way for a discussion of the significant influence of mobility on the behavior of the LST. LST; remote sensing; mobility; territorial extension; population +
Footnote †: journal:  
peaks in the middle of the day, since surface temperature is influenced by the effect of solar radiation and the albedo of materials, whereas at night, the release of heat in the nocturnal boundary layer and the reduction of net longwave loss/effective radiation are important processes for the UHI effect [4; 5]; it is for this reason that the research is conducted during the day. A significant advantage of LST is that it can be obtained simultaneously in space and time using satellite information, eliminating the need for data analysis from meteorological stations or conducting transects. The validation of the relationship between UHI and SUHI has been demonstrated in a number of studies [5; 6; 7; 8; 9]. Several factors influence the characterization and distribution of atmospheric and surface temperatures in urban areas; these include the physical and thermal properties of surfaces, such as reflectance, albedo, emissivity, and emittance. Green areas also play a critical role by affecting soil evapotranspiration. Furthermore, urban morphology, building density, proportions, land use, and texture significantly impact thermal conditions. Anthropogenic heat generated by industries, buildings, and vehicles contributes to the formation of UHIs. Research on UHIs and SUHIs encompasses studies at various scales, from regions to cities and neighborhoods, aiming to enhance scholarly understanding of the phenomenon and develop resilience strategies. These multidisciplinary studies combine analyses of physical, morphological, and anthropogenic factors to comprehensively address the issue of urban heat islands and propose context-specific solutions. In the study of SUHIs, meteorological parameters such as the temperature, radiation, relative humidity, and wind speed and direction must be considered. This research focuses on four factors: mobility, population, land area, and the properties of paved surfaces, including the normalized difference vegetation index (NDVI), which have been linked to alterations in SUHI temperatures. Mobility, or vehicular traffic, is a component of anthropogenic heat, referring to heat generated as a result of human activities. Transportation is generally seen as a solution for mobility in large cities, providing significant societal benefits; however, it has also created negative effects on the environment and urban climatology. Emissions from vehicles and the heat generated by them contribute to heat transfer and radiation between the air and the ground surface [10; 11]. Studies have demonstrated a strong correlation between mobility and the SUHI [12; 13; 14].