China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data

Abstract Accurate, long-term, full-coverage carbon dioxide (CO2) data in units of prefecture-level cities are necessary for evaluations of CO2 emission reductions in China, which has become one of the world’s largest carbon-emitting countries. This study develops a novel method to match satellite-ba...

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Autores principales:	Jiandong Chen, Ming Gao, Shulei Cheng, Xin Liu, Wenxuan Hou, Malin Song, Ding Li, Wei Fan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2a8be90804ad46ce9909168ca5e95353
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spelling	oai:doaj.org-article:2a8be90804ad46ce9909168ca5e953532021-12-02T14:27:02ZChina’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data10.1038/s41598-021-81754-y2045-2322https://doaj.org/article/2a8be90804ad46ce9909168ca5e953532021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81754-yhttps://doaj.org/toc/2045-2322Abstract Accurate, long-term, full-coverage carbon dioxide (CO2) data in units of prefecture-level cities are necessary for evaluations of CO2 emission reductions in China, which has become one of the world’s largest carbon-emitting countries. This study develops a novel method to match satellite-based Defense Meteorological Satellite Program’s Operational Landscan System (DMSP/OLS) and Suomi National Polar-orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data, and estimates the CO2 emissions of 334 prefecture-level cities in China from 1992 to 2017. Results indicated that the eastern and coastal regions had higher carbon emissions, but their carbon intensity decreased more rapidly than other regions. Compared to previous studies, we provide the most extensive and long-term CO2 dataset to date, and these data will be of great value for further socioeconomic research. Specifically, this dataset provides a foundational data source for China’s future CO2 research and emission reduction strategies. Additionally, the methodology can be applied to other regions around the world.Jiandong ChenMing GaoShulei ChengXin LiuWenxuan HouMalin SongDing LiWei FanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jiandong Chen Ming Gao Shulei Cheng Xin Liu Wenxuan Hou Malin Song Ding Li Wei Fan China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
description	Abstract Accurate, long-term, full-coverage carbon dioxide (CO2) data in units of prefecture-level cities are necessary for evaluations of CO2 emission reductions in China, which has become one of the world’s largest carbon-emitting countries. This study develops a novel method to match satellite-based Defense Meteorological Satellite Program’s Operational Landscan System (DMSP/OLS) and Suomi National Polar-orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data, and estimates the CO2 emissions of 334 prefecture-level cities in China from 1992 to 2017. Results indicated that the eastern and coastal regions had higher carbon emissions, but their carbon intensity decreased more rapidly than other regions. Compared to previous studies, we provide the most extensive and long-term CO2 dataset to date, and these data will be of great value for further socioeconomic research. Specifically, this dataset provides a foundational data source for China’s future CO2 research and emission reduction strategies. Additionally, the methodology can be applied to other regions around the world.
format	article
author	Jiandong Chen Ming Gao Shulei Cheng Xin Liu Wenxuan Hou Malin Song Ding Li Wei Fan
author_facet	Jiandong Chen Ming Gao Shulei Cheng Xin Liu Wenxuan Hou Malin Song Ding Li Wei Fan
author_sort	Jiandong Chen
title	China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
title_short	China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
title_full	China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
title_fullStr	China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
title_full_unstemmed	China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
title_sort	china’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2a8be90804ad46ce9909168ca5e95353
work_keys_str_mv	AT jiandongchen chinascitylevelcarbonemissionsduring19922017basedontheintercalibrationofnighttimelightdata AT minggao chinascitylevelcarbonemissionsduring19922017basedontheintercalibrationofnighttimelightdata AT shuleicheng chinascitylevelcarbonemissionsduring19922017basedontheintercalibrationofnighttimelightdata AT xinliu chinascitylevelcarbonemissionsduring19922017basedontheintercalibrationofnighttimelightdata AT wenxuanhou chinascitylevelcarbonemissionsduring19922017basedontheintercalibrationofnighttimelightdata AT malinsong chinascitylevelcarbonemissionsduring19922017basedontheintercalibrationofnighttimelightdata AT dingli chinascitylevelcarbonemissionsduring19922017basedontheintercalibrationofnighttimelightdata AT weifan chinascitylevelcarbonemissionsduring19922017basedontheintercalibrationofnighttimelightdata
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China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data

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