## 4 Results  
The results of the LST in the seven cities are illustrated in Figures 4-10. Letters (a) and (b) in Figures 4-10 depict the thermal images obtained from satellite data for the two selected days (Table 2), with a resolution of 100 \(\times\) 100 m per pixel; the images have been edited and cropped to highlight specific areas of the cities. Figure (c) corresponds to the behavior of the LST, graphically comparing how surface temperatures increase or decrease. Graphs (d) present three variables: the X-axis represents the temperatures recorded in urban areas, the left Y-axis indicates the area in square kilometers where temperature changes occurred between the two days, and the right Y-axis shows the percentage change. This analysis allows for the determination of LST variations. This research aimed to ensure that meteorological conditions were consistent across all cities, providing us with the opportunity to analyze variables such as land area, population, pavement types, and NDVI in relation to changes in the land surface temperature (LST) associated with a decrease in mobility (greater than 40%) due to the COVID-19 quarantine. The temperature ranges in the seven cities varied between 18 \({}^{\circ}\)C and 32 \({}^{\circ}\)C. Notably, two cities exhibited an upward trend (Puerto Vallarta and Tamaulipas), two cities remained relatively stable (Manzanillo and Coatzacoolcos), and three cities demonstrated a downward trend (Lazaro Cardenas, Veracruz, and Ciudad del Carmen) in terms of surface temperatures (Figures 4-10). Figure 8: Veracruz city, Veracruz. Figures (**a,b**) display thermal images for the years 2019 and 2020; (**c**) illustrates the curve of the isotherms; and (**d**) presents the temperature behavior in relation to the occupied surface area. Figure 10: Ciudad del Carmen City. Figures (**a,b**) display thermal images for the years 2019 and 2020; (**c**) illustrates the curve of the isotherms; and (**d**) presents the temperature behavior in relation to the occupied surface area. Figure 9: Coatzacoolcos city, Veracruz. Figures (**a,b**) display thermal images for the years 2019 and 2020; (**c**) illustrates the curve of the isotherms; and (**d**) presents the temperature behavior in relation to the occupied surface area. The incidence graphs (d) provide two key values: the high and low temperatures that underwent the most significant changes in area within the study cities. These values are designated as the representative high surface temperature (RHST) and the representative low surface temperature (RLST). For example, in Puerto Vallarta, the RLST (23 \({}^{\circ}\)C) decreased by 30.79% in area, while the RHST (28 \({}^{\circ}\)C) increased by 40.60%; in Tampico, the RLST decreased by 34.12% and the RHST increased by 32.40%; and, in Coatzacoolcos, the RLST decreased by 13.38% and the RHST increased by 15.15%. Figure 11 illustrates the behavior of the normalized difference vegetation index (NDVI) between two days in 2019 and 2020. The maximum NDVI value observed among the cities was 0.6992, while the minimum was \(-\)0.19603; the former corresponds to Coatzacoolcos and the latter to Ciudad del Carmen, both of which are located near the Gulf of Mexico. Figure 11: NDVI figures and graphs for the following cities: 1. Puerto Vallarta, Jalisco; 2. Manzanillo, Colima; 3. Lázaro Cardenas, Michoacán; 4. Tampico, Tamaulipas; 5. Veracruz, Veracruz;  
6. Coatzacoolos, Veracruz and; 7. Ciudad del Carmen, Campeche; (**a**). NVDI of the analyzed day in 2019; (**b**). NDVI of the analyzed day in 2020; (**c**). percentage of coverage between the indicated days in 2019 and 2020. Based on the RHST and RLST values (Table 4) obtained from the graph, the coefficient of determination or linear regression is calculated using the variables of land area, population, surface coverage, and vegetation index. Figures 12-18 illustrate the relationships between the representative low surface temperature (RLST) and the representative high surface temperature (RHST) in relation to each variable.