Nighttime light remote sensing for urban applications: Progress, challenges, and prospects

被引:119
作者
Zheng, Qiming [1 ,2 ]
Seto, Karen C. [3 ]
Zhou, Yuyu [4 ]
You, Shixue [5 ]
Weng, Qihao [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hung Hom, Kowloon, Hong Kong, Peoples R China
[2] Natl Univ Singapore, Ctr Nat based Climate Solut, 6 Sci Dr 2, Singapore 117543, Singapore
[3] Yale Univ, Yale Sch Environm, New Haven, CT 06511 USA
[4] Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50011 USA
[5] China Jiliang Univ, Coll Econ & Management, Hangzhou 310018, Peoples R China
关键词
Nighttime light; Urbanization; Human activities; Socioeconomic changes; Light pollution; DMSP-OLS; SPATIAL-RESOLUTION; TIME-SERIES; SPATIOTEMPORAL DYNAMICS; ARTIFICIAL-LIGHT; CO2; EMISSIONS; POLLUTION; IMAGERY; CHINA; POPULATION;
D O I
10.1016/j.isprsjprs.2023.05.028
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Nighttime light (NTL) remote sensing data offer unique capabilities to characterize both the extent and intensity of human activities and have been extensively used to understand urbanization since 1992. The recent proliferation of NTL sensors, algorithms, and products creates new opportunities to understand contemporary urbanization and the associated socioeconomic and environmental changes. We conducted a comprehensive literature review of 688 peer-reviewed papers published between 1992 and 2022 to understand the trends in how NTL data have been used to study urbanization (e.g., with which data products, during which time span, and in which geographies) and to synthesize the progress and challenges of key urban application topics. Based on our review, we identified four research directions for future NTL-based urban applications: (1) a better understanding of scale effects and sources of variations in NTL data; (2) integrating multi-source NTL data and synergizing NTL data with other types of geospatial data for improved NTL utilization; (3) more research on the Global South; and (4) developing new urban applications with new NTL data products. Addressing research gaps in these areas will generate new insights into the urbanization process under different geographical and socioeconomic settings.
引用
收藏
页码:125 / 141
页数:17
相关论文
共 184 条
[1]  
[Anonymous], 2014, WORLD URBANIZATION P, DOI [DOI 10.4054/DEMRES.2005.12.9, 10.4054/DemRes.2005.12.9]
[2]  
[Anonymous], 2019, World Population Prospects
[3]   Modeling the Spectral Properties of Obtrusive Light Incident on a Window: Application to Montreal, Canada [J].
Aube, Martin ;
Houle, Julien-Pierre ;
Desmarais, Justine ;
Veilleux, Nikki ;
Bordeleau, Emie .
REMOTE SENSING, 2021, 13 (14)
[4]   A case-referent study: light at night and breast cancer risk in Georgia [J].
Bauer, Sarah E. ;
Wagner, Sara E. ;
Burch, Jim ;
Bayakly, Rana ;
Vena, John E. .
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, 2013, 12
[5]   Advances in using multitemporal night-time lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics [J].
Bennett, Mia M. ;
Smith, Laurence C. .
REMOTE SENSING OF ENVIRONMENT, 2017, 192 :176-197
[6]   Nighttime lights and population changes in Europe 1992-2012 [J].
Bustos, Maria Francisca Archila ;
Hall, Ola ;
Andersson, Magnus .
AMBIO, 2015, 44 (07) :653-665
[7]   Using multi-source geospatial big data to identify the structure of polycentric cities [J].
Cai, Jixuan ;
Huang, Bo ;
Song, Yimeng .
REMOTE SENSING OF ENVIRONMENT, 2017, 202 :210-221
[8]   A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data [J].
Cao, Xin ;
Chen, Jin ;
Imura, Hidefumi ;
Higashi, Osamu .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (10) :2205-2209
[9]   Analysis of Lighting Changes in the Tourist City Edogawa Using Nighttime Light Data [J].
Cao, Yang ;
Zhang, Jing ;
Yang, Mingxiang ;
Guo, Binbin ;
Liu, Mei ;
Yang, Liu ;
Qu, Jiashen ;
Gao, Peng .
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2018, 46 (10) :1617-1623
[10]   Revisiting the environmental Kuznets curve for city-level CO2 emissions: based on corrected NPP-VIIRS nighttime light data in China [J].
Chen, Hongxing ;
Zhang, Xiaoling ;
Wu, Rongwei ;
Cai, Tianyi .
JOURNAL OF CLEANER PRODUCTION, 2020, 268