Iranian Journal of Applied Ecology

Global warming and climate change due to increasing greenhouse gases (GHGs) concentration caused widespread concerns in the national and international societies. Carbon dioxide and methane as the most important greenhouse gases in the atmosphere account for more than about 80% of global warming due to greenhouse gases emission. In this study, Multivariate linear regression (method: enter and stepwise) was used to determine the relationship of CO₂ and CH₄ concentration with NDVI, LST, humidity, and temperature by GOSAT TANSO-FTS level 2 data, MODIS products (MOD13Q1 and MOD11C3), and meteorological parameters (Temperature and Humidity) in Iran. According to the results, the negative correlation among GHGs and NDVI, HUM, and HIG and the positive correlation among these gases and LST and TEM were observed in different seasons of 2013. These correlations showed concentration of carbon dioxide and methane diminished in the study area by increase in humidity, elevation and NDVI and decrease in LST. In spring, important factor in change of CO₂ and CH₄ was NDVI while, in other seasons climatic parameters were important.