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DOI10.3390/rs16061018
Future Scenarios of Urban Nighttime Lights: A Method for Global Cities and Its Application to Urban Expansion and Carbon Emission Estimation
Kii, Masanobu; Matsumoto, Kunihiko; Sugita, Satoru
发表日期2024
EISSN2072-4292
起始页码16
结束页码6
卷号16期号:6
英文摘要As of 2018, approximately 55% of the world's population resides in cities, and it is projected that this proportion will reach 68% by 2050. Population growth in urban areas leads to various impacts on society and the environment. In this study, we have developed a method for generating future scenarios of nighttime lights. What makes this method unique is its ability to (1) generate future gridded nighttime light intensity scenarios for cities, (2) generate future scenarios that preserve the distribution pattern of nighttime light intensity, and (3) generate scenarios that reflect urban policies. By applying this developed method, we have estimated nighttime light data for 555 cities worldwide and predicted future urban expansion and changes in carbon emissions for each SSP scenario. Consequently, both urban areas and carbon emissions are estimated to increase for the entire set of target cities, with patterns varying among cities and scenarios. This study contributes to the advancement of urban scenario research, including the estimation of future urban area expansion and carbon emissions.
英文关键词urban nighttime light; urban spatial structure; carbon emission; visible infrared imaging radiometer suite; shared socioeconomic pathways
语种英语
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:001192484500001
来源期刊REMOTE SENSING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/294166
作者单位Osaka University; Chubu University
推荐引用方式
GB/T 7714
Kii, Masanobu,Matsumoto, Kunihiko,Sugita, Satoru. Future Scenarios of Urban Nighttime Lights: A Method for Global Cities and Its Application to Urban Expansion and Carbon Emission Estimation[J],2024,16(6).
APA Kii, Masanobu,Matsumoto, Kunihiko,&Sugita, Satoru.(2024).Future Scenarios of Urban Nighttime Lights: A Method for Global Cities and Its Application to Urban Expansion and Carbon Emission Estimation.REMOTE SENSING,16(6).
MLA Kii, Masanobu,et al."Future Scenarios of Urban Nighttime Lights: A Method for Global Cities and Its Application to Urban Expansion and Carbon Emission Estimation".REMOTE SENSING 16.6(2024).
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