This study investigated the relationship between the CO2 concentration and land surface temperatu... more 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.
This study identified the correlation between OCO-2 XCO 2 signatures and night-time light (NTL) d... more This study identified the correlation between OCO-2 XCO 2 signatures and night-time light (NTL) dynamics for four different landscapes in India: Megapolis (part of Mumbai), City (part of Raipur), Town (part of Dindigul), and Village (part of Balnoi). The data used for building the correlation were collected from Orbiting Carbon Observatory-2 (OCO-2) XCO 2 and Defense Meteorological Satellite Program Operational Line Scanner’s ( DMSP/OLS) NTL datasets. The result of the study indicated that CO 2 concentration is strongly related to NTL data. Megapolis part was found to exhibit higher values in both CO 2 mean concentration (405.8 ppm) and NTL distribution level (41.5-pixel value), while the village part was low in both CO 2 mean concentration (400.306 ppm) and NTL distribution level (4.4-pixel values). The city part of the data showed that the highest mean local R 2 (0.964) in Geographically Weighted Regression (GWR), while the village part recorded the lowest mean local R 2 (0.579) in the given data set. This study further emphasizes that the night light satellite imagery can be used as descriptors and proxies to calculate CO 2 emission.
This study investigated the relationship between the CO2 concentration and land surface temperatu... more 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.
This study identified the correlation between OCO-2 XCO 2 signatures and night-time light (NTL) d... more This study identified the correlation between OCO-2 XCO 2 signatures and night-time light (NTL) dynamics for four different landscapes in India: Megapolis (part of Mumbai), City (part of Raipur), Town (part of Dindigul), and Village (part of Balnoi). The data used for building the correlation were collected from Orbiting Carbon Observatory-2 (OCO-2) XCO 2 and Defense Meteorological Satellite Program Operational Line Scanner’s ( DMSP/OLS) NTL datasets. The result of the study indicated that CO 2 concentration is strongly related to NTL data. Megapolis part was found to exhibit higher values in both CO 2 mean concentration (405.8 ppm) and NTL distribution level (41.5-pixel value), while the village part was low in both CO 2 mean concentration (400.306 ppm) and NTL distribution level (4.4-pixel values). The city part of the data showed that the highest mean local R 2 (0.964) in Geographically Weighted Regression (GWR), while the village part recorded the lowest mean local R 2 (0.579) in the given data set. This study further emphasizes that the night light satellite imagery can be used as descriptors and proxies to calculate CO 2 emission.
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