There is a weak positive correlation between land surface temperature and concentrations of carbon monoxide and nitrogen dioxide

08 May 2025

UP Diliman

This study looks at how land surface temperature (LST) from satellite data, elevation, and air quality parameters are related in Metro Manila from January 2019 to March 2023. Air quality measurements are limited to carbon monoxide (CO), sulfur dioxide (SO2) and nitrogen dioxide (NO2). Researchers used statistical methods to compare data from satellites with ground
measurements from PAGASA weather stations and found that LST can be a reliable indicator for further analysis.

Key findings include:
1. A weak to low negative correlation between elevation and LST, CO, and NO2.
2. A weak to low positive correlation between LST and CO, and NO2.
3. Almost no correlation between elevation and SO2, or between LST and SO2.

However, the study notes that these results might be unreliable due to various statistical issues. To improve reliability, the study suggests looking at additional factors like the Normalized Difference Built-Up Index (NDBI), since high levels of LST, CO and NO2 tend to cluster in urban areas. In conclusion, this study provides a starting point for future research on how temperature, elevation, and air quality interact and can help urban planners and environmental scientists in preparing air quality management plans.

The study demonstrated the use of satellite data and statistical methods in quantifying the atmospheric conditions in urban areas. The methodological approaches enhance understanding of the complex interplay between temperature, elevation, and air quality, aiding the development of informed urban climate adaptation strategies. Workflows and outputs of this study can be further used in urban planning activities and in developing air quality management and action plans in cities.

Authors: Mark James Broqueza, , Leila Micahella  Cruz,  Michelle Mana-ay, Audrey Marie Jamboy and Roseanne Ramos (Department of Geodetic Engineering, UP Diliman)

Read the full paper: https://isprs-archives.copernicus.org/articles/XLVIII-4-W8-2023/77/2024/isprs-archives-XLVIII-4-W8-2023-77-2024.pdf

There is a weak positive correlation between land surface temperature and concentrations of carbon monoxide and nitrogen dioxide

This study looks at how land surface temperature (LST) from satellite data, elevation, and air quality parameters are related in Metro Manila from January 2019 to March 2023. Air quality measurements are limited to carbon monoxide (CO), sulfur dioxide (SO2) and nitrogen dioxide (NO2). Researchers used statistical methods to compare data from satellites with ground
measurements from PAGASA weather stations and found that LST can be a reliable indicator for further analysis.

Key findings include:
1. A weak to low negative correlation between elevation and LST, CO, and NO2.
2. A weak to low positive correlation between LST and CO, and NO2.
3. Almost no correlation between elevation and SO2, or between LST and SO2.

However, the study notes that these results might be unreliable due to various statistical issues. To improve reliability, the study suggests looking at additional factors like the Normalized Difference Built-Up Index (NDBI), since high levels of LST, CO and NO2 tend to cluster in urban areas. In conclusion, this study provides a starting point for future research on how temperature, elevation, and air quality interact and can help urban planners and environmental scientists in preparing air quality management plans.

The study demonstrated the use of satellite data and statistical methods in quantifying the atmospheric conditions in urban areas. The methodological approaches enhance understanding of the complex interplay between temperature, elevation, and air quality, aiding the development of informed urban climate adaptation strategies. Workflows and outputs of this study can be further used in urban planning activities and in developing air quality management and action plans in cities.

Authors: Mark James Broqueza, , Leila Micahella  Cruz,  Michelle Mana-ay, Audrey Marie Jamboy and Roseanne Ramos (Department of Geodetic Engineering, UP Diliman)

Read the full paper: https://isprs-archives.copernicus.org/articles/XLVIII-4-W8-2023/77/2024/isprs-archives-XLVIII-4-W8-2023-77-2024.pdf