Investigating the Relationship between Air Pollutants and Remote Sensing Indices (NDVI, NDBI, LST and ATI) in Tehran

Document Type : Research Article


1 phd student,, razi university

2 Faculty of Literature and Humanities, Razi University, Kermanshah

3 phd student, tehran university



Urban air pollution is a major environmental and public health concern worldwide. Every day, the population of Tehran as the capital of Iran increases, which leads to problems such as air pollution, and its intensity increases every year. Therefore, the aim of this study is to find the relationship between remote sensing indicators and air pollutants in the city of Tehran. The variables used in this study include: Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), Apparent Thermal Inertia (ATI), and Normalized Difference Index of Built-up Areas (NDBI) extracted from the data of OLI sensor images and Moody's also includes air pollutant parameters including CO, NO2, and SO2 during the months of August, July and April 2017. Pearson's correlation coefficient ware used to check the relationship between remote sensing variables and pollutants. The results showed that in spring, the highest positive correlation between LST and SO2 (0.24) and the highest negative correlation between NDVI and SO2 (-0.36) were observed. In addition, in spring, there was the highest observed correlation between ATI and CO (0.24) and NDBI and SO2 (0.27). In addition, there is a strong and negative relationship between NDBI and NDVI in spring and summer respectively (-0.91, -0.84).
The growth of urban areas has a significant impact on land use by changing the use of vegetation with residential and commercial use and related infrastructure, which raises the earth's temperature. Replacing the Earth's natural cover with urban construction destroys the cooling effects of natural surfaces. The use of fossil fuels for cooling and heating increases the ambient air temperature, which in turn creates thermal islands where urban areas experience higher temperatures than the surrounding rural environment.


  • Receive Date: 23 November 2022
  • Revise Date: 01 February 2023
  • Accept Date: 08 February 2023
  • First Publish Date: 13 February 2023