Exploring correlation between OCO-2 XCO2 and DMSP/OLS nightlight imagery signature in four selected locations in India

• Published in: Spatial information research (Online) Vol. 29; no. 1; pp. 123 - 135
• Main Authors: Matloob, Ambreen, Sarif, Md. Omar, Um, Jung-Sup
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.02.2021; 대한공간정보학회
• Subjects: Database Management; Earth and Environmental Science; Geographical Information Systems/Cartography; Geography; Remote Sensing/Photogrammetry; 공학일반; OCO-2; Proxy; DMSP/OLS; Nightlight dynamics; XCO; India
• ISSN: 2366-3286; 2366-3294
• DOI: 10.1007/s41324-021-00381-x

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.