Evaluating the inter-relationship between OCO-2 XCO2 and MODIS-LST in an Industrial Belt located at Western Bengaluru City of India

  • Matloob, Ambreen; 
  • Sarif, Md. Omar; 
  • Um, Jung-Sup
Citations

WEB OF SCIENCE

13
Citations

SCOPUS

15

초록

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 (R-2 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.

키워드

OCO-2 XCO2; MODIS-LST; Geographically weighted regression; GWR; Industrial belt; Land surface temperature; CO2 concentration
제목
Evaluating the inter-relationship between OCO-2 XCO2 and MODIS-LST in an Industrial Belt located at Western Bengaluru City of India
저자
Matloob, Ambreen; Sarif, Md. Omar; Um, Jung-Sup
DOI
10.1007/s41324-021-00396-4
발행일
2021-06
유형
Article
저널명
Spatial Information Research
권
29
호
3
페이지
257 ~ 265