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30 August 2023 Spatio-temporal evolution of multi-scale carbon emissions based on multi-source nighttime light remote sensing data in Fujian Province
Yuanmao Zheng, Menglin Fan, Yina Yang, Kexin Yang, Mingzhe Fu, Qiuhua He
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Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127972H (2023) https://doi.org/10.1117/12.3007546
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China
Abstract
Climate change is a common problem facing human society, and carbon emissions aggravate global warming. This paper takes Fujian Province as the research area. DMSP/OLS and NPP/VIIRS data were preprocessed, corrected and fused to generate and grow time series data sets. Through the construction of carbon emission estimation model, the spatio-temporal evolution of carbon emission in Fujian from 1992 to 2022 was analyzed at city-county level. The results show that: (1) Temporal dimension: carbon emission in Fujian increased from 37.18 million tons in 1992 to 324.1 million tons in 2022. (2) Spatial dimension: carbon emissions in Fujian showed "high in the east and low in the west" and "high in the south and low in the north". The global spatial distribution is clustering spatial distribution. L-L clustering is mostly in the northern part of Fujian, but not significant in the middle part, and H-H clustering is mainly in the southeast coast. The results of this study can provide data support for promoting the comprehensive green transformation of economic and social development.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yuanmao Zheng, Menglin Fan, Yina Yang, Kexin Yang, Mingzhe Fu, and Qiuhua He "Spatio-temporal evolution of multi-scale carbon emissions based on multi-source nighttime light remote sensing data in Fujian Province", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127972H (30 August 2023); https://doi.org/10.1117/12.3007546
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KEYWORDS
Remote sensing
Data corrections
Data modeling
Analytical research
Data acquisition
Environmental monitoring
Carbon dioxide
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