This study established an entity-level model to estimate carbon emissions by combining geographic information of points of interest (POIs) and nighttime light ...
This study established an entity-level model to estimate carbon emissions by combining geographic information of points of interest (POIs) and nighttime light ...
This study established an entity-level model to estimate carbon emissions by combining geographic information of points of interest (POIs) and nighttime light ...
Aug 3, 2022 · Quantifying current carbon emissions their fine scale spatial distribution is necessary to improve carbon emission management, requirements, ...
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This paper analyzes the carbon emissions of coal and power industries in Jiangsu Province from 2006 to 2020 using the empirical orthogonal function (EOF)
A fine spatial resolution modeling of urban carbon emissions - Nature
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Jun 3, 2022 · Modeling spati-otemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis.
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Wang, Carbon emission accounting and spatial distribution of industrial entities in Beijing—combining nighttime light data and urban functional areas, Ecol.
Aug 25, 2024 · Carbon emission accounting and spatial distribution of industrial entities in Beijing—combining nighttime light data and urban functional areas.
Aug 21, 2024 · This study utilizes nighttime light (NTL) data from 2005 to 2019, combined with scaling techniques and statistical analysis, to estimate city-scale energy ...
Carbon emission accounting and spatial distribution of industrial entities in Beijing—Combining nighttime light data and urban functional areas. Ecol ...