Spatio-Temporal Variations and Influencing Factors of Country-Level Carbon Emissions for Northeast China Based on VIIRS Nighttime Lighting Data

This paper constructs a county-level carbon emission inversion model in Northeast China. We first fit the nighttime light data of the Visible Infrared Imaging Radiometer Suite (VIIRS) with local energy consumption statistics and carbon emissions data. We analyze the temporal and spatial characterist...

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Detalles Bibliográficos
Autores principales: Xu, Gang, Zeng, Tianyi, Jin, Hong, Xu, Cong, Zhang, Ziqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819769/
https://www.ncbi.nlm.nih.gov/pubmed/36613151
http://dx.doi.org/10.3390/ijerph20010829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819769/
https://www.ncbi.nlm.nih.gov/pubmed/36613151
http://dx.doi.org/10.3390/ijerph20010829

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