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Monitoring changes in nighttime lights and anthropogenic CO2 emissions during geopolitical conflicts from a remote sensing perspective

Author

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  • Zhenjie Liu

    (China University of Geosciences)

  • Jun Li

    (China University of Geosciences)

  • Haonan Chen

    (Colorado State University)

  • Lizhe Wang

    (China University of Geosciences)

  • Antonio Plaza

    (University of Extremadura)

Abstract

Monitoring spatiotemporal changes in anthropogenic CO2 is crucial for informing international climate change policy initiatives, but also challenging due to the absence of national inventories and statistical data during such conflicts. Currently, nighttime light (NTL) remote sensing data is often used for spatial disaggregation of CO2 emission statistics, while the construction of existing anthropogenic CO2 emission datasets relies on ground observation data, which are difficult to apply rapidly and accurately in the context of a geopolitical conflict. This study introduces a novel model for monitoring monthly changes in anthropogenic CO2 emissions based on NTL data collected by the Visible Infrared Imaging Radiometer Suite (VIIRS) and the Global Gridded Daily CO2 Emission Dataset (GRACED). The proposed model integrates the monthly changes in NTL caused by the conflict with the monthly mean CO2 emissions of various sectors before the conflict for near-real-time monitoring through spatial aggregation and statistical analysis using Google Earth Engine (GEE) and ArcGIS software. As a case study, we consider the Russia-Ukraine war to analyze the monthly CO2 emission changes in Ukraine, across various scales. The results demonstrate that the residential consumption, ground transport, and industry sectors respectively have CO2 emission changes of 413 kt, 106 kt, and 324 kt (six months after the war began), and of 136 kt, 33 kt, and 139 kt (one year after the war began) in Ukraine. Significant consistency between the estimated and reference CO2 emission changes can be observed for each month during the war, with the R2 ranging from 0.61–0.87, 0.51–0.74, and 0.69–0.93 for the residential consumption, ground transport, and industry sectors, respectively. Overall, this study contributes new insights into the monitoring of near-real-time changes in anthropogenic CO2 emissions under geopolitical conflicts, and help to enhance the understanding of the environmental governance and climate accountability.

Suggested Citation

  • Zhenjie Liu & Jun Li & Haonan Chen & Lizhe Wang & Antonio Plaza, 2025. "Monitoring changes in nighttime lights and anthropogenic CO2 emissions during geopolitical conflicts from a remote sensing perspective," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05151-w
    DOI: 10.1057/s41599-025-05151-w
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    1. Sara Hughes & Sarah Giest & Laura Tozer, 2020. "Accountability and data-driven urban climate governance," Nature Climate Change, Nature, vol. 10(12), pages 1085-1090, December.
    2. Mortoja, Md. Golam & Yigitcanlar, Tan, 2022. "Understanding political bias in climate change belief: A public perception study from South East Queensland," Land Use Policy, Elsevier, vol. 122(C).
    3. Rahman, Mohammad Mafizur & Kashem, Mohammad Abul, 2017. "Carbon emissions, energy consumption and industrial growth in Bangladesh: Empirical evidence from ARDL cointegration and Granger causality analysis," Energy Policy, Elsevier, vol. 110(C), pages 600-608.
    4. Adediran, Idris A. & Swaray, Raymond, 2023. "Carbon trading amidst global uncertainty: The role of policy and geopolitical uncertainty," Economic Modelling, Elsevier, vol. 123(C).
    5. Shi, Kaifang & Yu, Bailang & Zhou, Yuyu & Chen, Yun & Yang, Chengshu & Chen, Zuoqi & Wu, Jianping, 2019. "Spatiotemporal variations of CO2 emissions and their impact factors in China: A comparative analysis between the provincial and prefectural levels," Applied Energy, Elsevier, vol. 233, pages 170-181.
    6. Mubarik, Muhammad Shahzad & Kashif, Muhammad & Shabbir, Mubarra & Jalil, Qasim, 2024. "Sustainable management in natural resources and carbon neutrality: Revisiting the nexus in Ukraine-Russia war context," Resources Policy, Elsevier, vol. 97(C).
    7. Douglas R. Leasure & Ridhi Kashyap & Francesco Rampazzo & Claire A. Dooley & Benjamin Elbers & Maksym Bondarenko & Mark Verhagen & Arun Frey & Jiani Yan & Evelina T. Akimova & Masoomali Fatehkia & Rob, 2023. "Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data," Population and Development Review, The Population Council, Inc., vol. 49(2), pages 231-254, June.
    8. Gao, Cuixia & Tao, Simin & He, Yuyang & Su, Bin & Sun, Mei & Mensah, Isaac Adjei, 2021. "Effect of population migration on spatial carbon emission transfers in China," Energy Policy, Elsevier, vol. 156(C).
    9. Luke Redmond & Frank Convery, 2015. "The global carbon market-mechanism landscape: pre and post 2020 perspectives," Climate Policy, Taylor & Francis Journals, vol. 15(5), pages 647-669, September.
    10. Li, Zhi & Ouyang, Xiaoling & Du, Kerui & Zhao, Yang, 2017. "Does government transparency contribute to improved eco-efficiency performance? An empirical study of 262 cities in China," Energy Policy, Elsevier, vol. 110(C), pages 79-89.
    11. Christiana Figueres & Corinne Le Quéré & Anand Mahindra & Oliver Bäte & Gail Whiteman & Glen Peters & Dabo Guan, 2018. "Emissions are still rising: ramp up the cuts," Nature, Nature, vol. 564(7734), pages 27-30, December.
    12. Heleen Mees & Peter Driessen, 2019. "A framework for assessing the accountability of local governance arrangements for adaptation to climate change," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 62(4), pages 671-691, March.
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