Abstract
This study investigated the relationship between the CO2 concentration and land surface temperature in Bengaluru, a recently mega industrialized city located in Southern India. Geographically weighted regression (GWR) was performed to explore the inter-relationship between orbiting carbon observatory-2 (OCO-2) XCO2 and moderate resolution imaging spectroradiometer MODIS-LST (land surface temperature). The GWR coefficient (R2 Adjusted), 0.91, confirms the strong correlation between OCO-2 XCO2 and MODIS LST over the study area. This study confirmed the industrial belt is one of the strong reasons for the remarkable increase in carbon concentration since the study area is surrounded by aerospace manufacturing industries and information technology building. The results of this study can be utilized as an important reference for evaluating the correlation between industrial belt and carbon emissions in south-east Asian countries where industrial belt is intensively constructed.
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Acknowledgements
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF–2018R1D1A1B07041977). We thank National Aeronautics and Space Administration, United States (NASA) for providing OCO-2 and MODIS LST satellite data. The Google Earth image used in this paper was obtained using the free download function provided by Google Earth. We thank Google Earth for providing the satellite images and permission to use them for this study.
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Matloob, A., Sarif, M.O. & Um, JS. Evaluating the inter-relationship between OCO-2 XCO2 and MODIS-LST in an Industrial Belt located at Western Bengaluru City of India. Spat. Inf. Res. 29, 257–265 (2021). https://doi.org/10.1007/s41324-021-00396-4
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DOI: https://doi.org/10.1007/s41324-021-00396-4