Effect of vegetation and land surface temperature on NO2 concentration: A Google Earth Engine-based remote sensing approach

Gis-Based Regression Analysis of Air Quality and Land Surface Temperature in Metro Manila Airsheds

“…Subsequently, the lowest correlation and coefficient of determination on these models was between LST and CO during 2021 (R = 0.234, R 2 = 0.055). This positive weak correlation between LST and NO2 was found consistent with the findings of the effect of LST on NO2 concentration in Delhi, India using Google Earth Engine during summer and winter seasons from 2019 to 2021 (Rahaman et al, 2023). Furthermore, all highest LST and concentration of CO and NO2 were seen clustering in the urban areas of Metro Manila (shown in Figure 3).…”

Coupling Remote Sensing Insights With Vegetation Dynamics and to Analyze NO2 Concentrations: A Google Earth Engine-Driven Investigation

“…This research in Lahore and Faisalabad aligns with the broader research landscape, focusing on urban air pollution and its implications for public health and environmental sustainability. Comparatively, the study by Rahaman et al [1] delves into the dynamics of urban air quality in the Asian capitals of Delhi and Dhaka, emphasizing the detrimental effects of rapid urbanization and industrial activities on NO2 concentrations, LST, and vegetation. Similarly, [3] study in Nanjing utilizes UAV-based remote sensing to explore the relationship between vegetation dynamics, atmospheric pollutants, and meteorological factors, shedding light on the potential of greening strategies to mitigate air pollution.…”

“…In Raipur, Chhattisgarh, India, [46] studied the relationship between the normalized differential vegetation index and land surface temperature. The primary objectives of this study encompassed (1) quantifying the spatiotemporal variability of interactions between LST and Normalized Difference Vegetation Index (NDVI) across the entire city; (2) assessing the spatiotemporal variability of LST-NDVI interactions across different NDVI values; and (3) delineating regions characterized by above-average LST and areas exhibiting below-average LST. The principal data sources comprised a time series of Landsat images obtained from the US Geological Survey site.…”

“…he two main issues facing the world today are climate change and global warming. Several of the main issues that exacerbate the ongoing impacts of climate change are rising sea levels, dense populations in the developing world, increasing urbanization, and deteriorating city landscapes [1]. Land Surface Temperature (LST) and vegetation are two examples of environmental factors that are either directly or indirectly linked to climate change and eventually harm metropolitan areas [2], [3], [4].…”

“…Vegetation plays a crucial role in influencing air quality through processes such as photosynthesis and the absorption of air pollutants [1], [11]. Additionally, changes in land cover and land use directly impact land surface temperature, altering environmental conditions [12].…”