24.1.10.4 Night Time Image Analysis for Urban Area Detection, Change and Growth

Chapter Contents (Back)
Aerial Image Analysis. Change Detection. Night Images. Urban Growth. Urban Change.
See also Urban Heat Islands, Remote Sensing. Other night images:
See also Night Time Processing.

Nghiem, S.V., Balk, D., Rodriguez, E., Neumann, G., Sorichetta, A., Small, C., Elvidge, C.D.,
Observations of urban and suburban environments with global satellite scatterometer data,
PandRS(64), No. 4, July 2009, pp. 367-380.
Elsevier DOI 0907
Dense sampling method; Scatterometer; Nighttime lights; Urban; Population BibRef

Zhang, Q.[Qian], Seto, K.C.[Karen C.],
Can Night-Time Light Data Identify Typologies of Urbanization? A Global Assessment of Successes and Failures,
RS(5), No. 7, 2013, pp. 3476-3494.
DOI Link 1308
BibRef

Li, X.[Xi], Ge, L.L.[Lin-Lin], Chen, X.L.[Xiao-Ling],
Detecting Zimbabwe's Decadal Economic Decline Using Nighttime Light Imagery,
RS(5), No. 9, 2013, pp. 4551-4570.
DOI Link 1310
Light as land cover. BibRef

Li, X.[Xi], Xu, H.M.[Hui-Min], Chen, X.L.[Xiao-Ling], Li, C.[Chang],
Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China,
RS(5), No. 6, 2013, pp. 3057-3081.
DOI Link 1307
BibRef

Xu, T.[Tao], Ma, T.[Ting], Zhou, C.H.[Cheng-Hu], Zhou, Y.[Yuke],
Characterizing Spatio-Temporal Dynamics of Urbanization in China Using Time Series of DMSP/OLS Night Light Data,
RS(6), No. 8, 2014, pp. 7708-7731.
DOI Link 1410
BibRef

Zhao, M.[Min], Cheng, W.M.[Wei-Ming], Zhou, C.H.[Cheng-Hu], Li, M.C.[Man-Chun], Huang, K.[Kun], Wang, N.[Nan],
Assessing Spatiotemporal Characteristics of Urbanization Dynamics in Southeast Asia Using Time Series of DMSP/OLS Nighttime Light Data,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Fan, J.[Junfu], Ma, T.[Ting], Zhou, C.H.[Cheng-Hu], Zhou, Y.[Yuke], Xu, T.[Tao],
Comparative Estimation of Urban Development in China's Cities Using Socioeconomic and DMSP/OLS Night Light Data,
RS(6), No. 8, 2014, pp. 7840-7856.
DOI Link 1410
BibRef

Zhou, Y.[Yuke], Ma, T.[Ting], Zhou, C.H.[Cheng-Hu], Xu, T.[Tao],
Nighttime Light Derived Assessment of Regional Inequality of Socioeconomic Development in China,
RS(7), No. 2, 2015, pp. 1242-1262.
DOI Link 1503
BibRef

Huang, Q.X.[Qing-Xu], Yang, X.[Xi], Gao, B.[Bin], Yang, Y.[Yang], Zhao, Y.Y.[Yuan-Yuan],
Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review,
RS(6), No. 8, 2014, pp. 6844-6866.
DOI Link 1410
BibRef

Min, B.[Brian], Gaba, K.M.[Kwawu Mensan],
Tracking Electrification in Vietnam Using Nighttime Lights,
RS(6), No. 10, 2014, pp. 9511-9529.
DOI Link 1411
BibRef

Li, Z.F.[Zhao-Fu], Liu, H.Y.[Hong-Yu], Luo, C.[Chuan], Li, P.P.[Pan-Pan], Li, H.P.[Heng-Peng], Xiong, Z.Q.[Zheng-Qin],
Industrial Wastewater Discharge Retrieval Based on Stable Nighttime Light Imagery in China from 1992 to 2010,
RS(6), No. 8, 2014, pp. 7566-7579.
DOI Link 1410
BibRef

Shao, Z.F.[Zhen-Feng], Liu, C.[Chong],
The Integrated Use of DMSP-OLS Nighttime Light and MODIS Data for Monitoring Large-Scale Impervious Surface Dynamics: A Case Study in the Yangtze River Delta,
RS(6), No. 10, 2014, pp. 9359-9378.
DOI Link 1411
BibRef

Roychowdhury, K.[Koel], Jones, S.[Simon],
Nexus of Health and Development: Modelling Crude Birth Rate and Maternal Mortality Ratio Using Nighttime Satellite Images,
IJGI(3), No. 2, 2014, pp. 693-712.
DOI Link 1407
BibRef

Han, P.P.[Peng-Peng], Huang, J.L.[Jin-Liang], Li, R.D.[Ren-Dong], Wang, L.H.[Li-Hui], Hu, Y.X.[Yan-Xia], Wang, J.L.[Jiu-Ling], Huang, W.[Wei],
Monitoring Trends in Light Pollution in China Based on Nighttime Satellite Imagery,
RS(6), No. 6, 2014, pp. 5541-5558.
DOI Link 1407
BibRef

Liang, H.W.[Han-Wei], Tanikawa, H.[Hiroki], Matsuno, Y.[Yasunari], Dong, L.[Liang],
Modeling In-Use Steel Stock in China's Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights,
RS(6), No. 6, 2014, pp. 4780-4800.
DOI Link 1407
BibRef

Shi, K.F.[Kai-Fang], Yu, B.[Bailang], Huang, Y.X.[Yi-Xiu], Hu, Y.J.[Ying-Jie], Yin, B.[Bing], Chen, Z.Q.[Zuo-Qi], Chen, L.J.[Liu-Jia], Wu, J.P.[Jian-Ping],
Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data,
RS(6), No. 2, 2014, pp. 1705-1724.
DOI Link 1403
BibRef

Ma, L.[Lin], Wu, J.S.[Jian-Sheng], Li, W.F.[Wei-Feng], Peng, J.[Jian], Liu, H.[Hao],
Evaluating Saturation Correction Methods for DMSP/OLS Nighttime Light Data: A Case Study from China's Cities,
RS(6), No. 10, 2014, pp. 9853-9872.
DOI Link 1411
BibRef

Zhao, N.Z.[Nai-Zhuo], Zhou, Y.Y.[Yu-Yu], Samson, E.L.,
Correcting Incompatible DN Values and Geometric Errors in Nighttime Lights Time-Series Images,
GeoRS(53), No. 4, April 2015, pp. 2039-2049.
IEEE DOI 1502
Monitor urbanization and assess socioeconomic activities at large scales. BibRef

Kyba, C.C.M.[Christopher C. M.], Garz, S.[Stefanie], Kuechly, H.[Helga], de Miguel, A.S.[Alejandro Sánchez], Zamorano, J.[Jaime], Fischer, J.[Jürgen], Hölker, F.[Franz],
High-Resolution Imagery of Earth at Night: New Sources, Opportunities and Challenges,
RS(7), No. 1, 2014, pp. 1-23.
DOI Link 1502
BibRef

Zhang, L.[Li], Qu, G.[Ge], Wang, W.[Wen],
Estimating Land Development Time Lags in China Using DMSP/OLS Nighttime Light Image,
RS(7), No. 1, 2015, pp. 882-904.
DOI Link 1502
BibRef

Gao, B.[Bin], Huang, Q.X.[Qing-Xu], He, C.Y.[Chun-Yang], Ma, Q.[Qun],
Dynamics of Urbanization Levels in China from 1992 to 2012: Perspective from DMSP/OLS Nighttime Light Data,
RS(7), No. 2, 2015, pp. 1721-1735.
DOI Link 1503
BibRef

Liu, Y.X.[Yan-Xu], Wang, Y.L.[Yang-Lin], Peng, J.[Jian], Du, Y.Y.[Yue-Yue], Liu, X.F.[Xian-Feng], Li, S.S.[Shuang-Shuang], Zhang, D.H.[Dong-Hai],
Correlations between Urbanization and Vegetation Degradation across the World's Metropolises Using DMSP/OLS Nighttime Light Data,
RS(7), No. 2, 2015, pp. 2067-2088.
DOI Link 1503
BibRef

Hao, R.F.[Rui-Fang], Yu, D.Y.[De-Yong], Sun, Y.[Yun], Cao, Q.[Qian], Liu, Y.[Yang], Liu, Y.P.[Yu-Peng],
Integrating Multiple Source Data to Enhance Variation and Weaken the Blooming Effect of DMSP-OLS Light,
RS(7), No. 2, 2015, pp. 1422-1440.
DOI Link 1503
Night time light to monitor human activities. BibRef

Zhang, Q.L.[Qing-Ling], Li, B.[Bin], Thau, D.[David], Moore, R.[Rebecca],
Building a Better Urban Picture: Combining Day and Night Remote Sensing Imagery,
RS(7), No. 9, 2015, pp. 11887.
DOI Link 1511
BibRef

Jing, W.L.[Wen-Long], Yang, Y.P.[Ya-Ping], Yue, X.F.[Xia-Fang], Zhao, X.D.[Xiao-Dan],
Mapping Urban Areas with Integration of DMSP/OLS Nighttime Light and MODIS Data Using Machine Learning Techniques,
RS(7), No. 9, 2015, pp. 12419.
DOI Link 1511
BibRef

Gómez, A.J.S.[Agnes Jane Soto], di Baldassarre, G.[Giuliano], Rodhe, A.[Allan], Pohjola, V.A.[Veijo A.],
Remotely Sensed Nightlights to Map Societal Exposure to Hydrometeorological Hazards,
RS(7), No. 9, 2015, pp. 12380.
DOI Link 1511
BibRef

Aubrecht, C.[Christoph], Torres, J.A.L.[José Antonio León],
Evaluating Multi-Sensor Nighttime Earth Observation Data for Identification of Mixed vs. Residential Use in Urban Areas,
RS(8), No. 2, 2016, pp. 114.
DOI Link 1603
BibRef

Ma, T.[Ting], Yin, Z.[Zhan], Li, B.L.[Bao-Lin], Zhou, C.H.[Cheng-Hu], Haynie, S.[Susan],
Quantitative Estimation of the Velocity of Urbanization in China Using Nighttime Luminosity Data,
RS(8), No. 2, 2016, pp. 94.
DOI Link 1603
BibRef

Li, Q.T.[Qing-Ting], Lu, L.L.[Lin-Lin], Weng, Q.H.[Qi-Hao], Xie, Y.H.[Yan-Hua], Guo, H.D.[Hua-Dong],
Monitoring Urban Dynamics in the Southeast U.S.A. Using Time-Series DMSP/OLS Nightlight Imagery,
RS(8), No. 7, 2016, pp. 578.
DOI Link 1608
BibRef

Song, J.[Jie], Ye, J.[Jintian], Zhu, E.[Enyan], Deng, J.S.[Jin-Song], Wang, K.[Ke],
Analyzing the Impact of Highways Associated with Farmland Loss under Rapid Urbanization,
IJGI(5), No. 6, 2016, pp. 94.
DOI Link 1608
BibRef

Chen, Y.H.[Yun-Hao], Quan, J.L.[Jin-Ling], Zhan, W.F.[Wen-Feng], Guo, Z.[Zheng],
Enhanced Statistical Estimation of Air Temperature Incorporating Nighttime Light Data,
RS(8), No. 8, 2016, pp. 656.
DOI Link 1609
BibRef

Zhang, Q., Pandey, B., Seto, K.C.,
A Robust Method to Generate a Consistent Time Series From DMSP/OLS Nighttime Light Data,
GeoRS(54), No. 10, October 2016, pp. 5821-5831.
IEEE DOI 1610
calibration BibRef

Mann, M.L.[Michael L.], Melaas, E.K.[Eli K.], Malik, A.[Arun],
Using VIIRS Day/Night Band to Measure Electricity Supply Reliability: Preliminary Results from Maharashtra, India,
RS(8), No. 9, 2016, pp. 711.
DOI Link 1610
BibRef

Georg, I.[Isabel], Blaschke, T.[Thomas], Taubenböck, H.[Hannes],
A Global Inventory of Urban Corridors Based on Perceptions and Night-Time Light Imagery,
IJGI(5), No. 12, 2016, pp. 233.
DOI Link 1612
BibRef

Alamús, R.[Ramon], Bará, S.[Salvador], Corbera, J.[Jordi], Escofet, J.[Jaume], Palà, V.[Vicenç], Pipia, L.[Luca], Tardà, A.[Anna],
Ground-based hyperspectral analysis of the urban nightscape,
PandRS(124), No. 1, 2017, pp. 16-26.
Elsevier DOI 1702
Hyperspectral data BibRef

Jiang, W.[Wei], He, G.J.[Guo-Jin], Long, T.F.[Teng-Fei], Wang, C.[Chen], Ni, Y.[Yuan], Ma, R.Q.[Rui-Qi],
Assessing Light Pollution in China Based on Nighttime Light Imagery,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Chen, Y.M.[Yi-Min], Liu, X.P.[Xiao-Ping], Li, X.[Xia],
Analyzing Parcel-Level Relationships between Urban Land Expansion and Activity Changes by Integrating Landsat and Nighttime Light Data,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Dou, Y.Y.[Yin-Yin], Liu, Z.F.[Zhi-Feng], He, C.Y.[Chun-Yang], Yue, H.[Huanbi],
Urban Land Extraction Using VIIRS Nighttime Light Data: An Evaluation of Three Popular Methods,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Cole, T.A.[Tony A.], Wanik, D.W.[David W.], Molthan, A.L.[Andrew L.], Román, M.O.[Miguel O.], Griffin, R.E.[Robert E.],
Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Fu, H.Y.[Hu-Yan], Shao, Z.F.[Zhen-Feng], Fu, P.[Peng], Cheng, Q.M.[Qi-Min],
The Dynamic Analysis between Urban Nighttime Economy and Urbanization Using the DMSP/OLS Nighttime Light Data in China from 1992 to 2012,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Xie, Y.H.[Yan-Hua], Weng, Q.H.[Qi-Hao],
Spatiotemporally enhancing time-series DMSP/OLS nighttime light imagery for assessing large-scale urban dynamics,
PandRS(128), No. 1, 2017, pp. 1-15.
Elsevier DOI 1706
Urban change BibRef

Rybnikova, N.A.[Nataliya A.], Portnov, B.A.[Boris A.],
Remote identification of research and educational activities using spectral properties of nighttime light,
PandRS(128), No. 1, 2017, pp. 212-222.
Elsevier DOI 1706
Research, activities BibRef

Zhang, P.L.[Peng-Lin], Liu, S.J.[Shuai-Jun], Du, J.[Juan],
A Map Spectrum-Based Spatiotemporal Clustering Method for GDP Variation Pattern Analysis Using Nighttime Light Images of the Wuhan Urban Agglomeration,
IJGI(6), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Li, X.[Xueke], Zhang, C.R.[Chuan-Rong], Li, W.D.[Wei-Dong], Liu, K.[Kai],
Evaluating the Use of DMSP/OLS Nighttime Light Imagery in Predicting PM2.5 Concentrations in the Northeastern United States,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Zhu, X.B.[Xiao-Bo], Ma, M.G.[Ming-Guo], Yang, H.[Hong], Ge, W.[Wei],
Modeling the Spatiotemporal Dynamics of Gross Domestic Product in China Using Extended Temporal Coverage Nighttime Light Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Ge, W.[Wei], Yang, H.[Hong], Zhu, X.B.[Xiao-Bo], Ma, M.G.[Ming-Guo], Yang, Y.[Yuli],
Ghost City Extraction and Rate Estimation in China Based on NPP-VIIRS Night-Time Light Data,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Savory, D.J.[David J.], Andrade-Pacheco, R.[Ricardo], Gething, P.W.[Peter W.], Midekisa, A.[Alemayehu], Bennett, A.[Adam], Sturrock, H.J.W.[Hugh J. W.],
Intercalibration and Gaussian Process Modeling of Nighttime Lights Imagery for Measuring Urbanization Trends in Africa 2000-2013,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Zhao, M.[Min], Cheng, W.M.[Wei-Ming], Zhou, C.H.[Cheng-Hu], Li, M.C.[Man-Chun], Wang, N.[Nan], Liu, Q.Y.[Qiang-Yi],
GDP Spatialization and Economic Differences in South China Based on NPP-VIIRS Nighttime Light Imagery,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Hu, Y.[Yina], Peng, J.[Jian], Liu, Y.X.[Yan-Xu], Du, Y.Y.[Yue-Yue], Li, H.[Huilei], Wu, J.S.[Jian-Sheng],
Mapping Development Pattern in Beijing-Tianjin-Hebei Urban Agglomeration Using DMSP/OLS Nighttime Light Data,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Meng, X.[Xing], Han, J.[Ji], Huang, C.[Cheng],
An Improved Vegetation Adjusted Nighttime Light Urban Index and Its Application in Quantifying Spatiotemporal Dynamics of Carbon Emissions in China,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Jiang, W.[Wei], He, G.J.[Guo-Jin], Long, T.F.[Teng-Fei], Liu, H.C.[Hui-Chan],
Ongoing Conflict Makes Yemen Dark: From the Perspective of Nighttime Light,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Hu, K.[Kai], Qi, K.L.[Kun-Lun], Guan, Q.F.[Qing-Feng], Wu, C.Q.[Chuan-Qing], Yu, J.M.[Jing-Min], Qing, Y.X.[Ya-Xian], Zheng, J.[Jie], Wu, H.Y.[Hua-Yi], Li, X.[Xi],
A Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Zhang, X.[Xiwen], Wu, J.S.[Jian-Sheng], Peng, J.[Jian], Cao, Q.W.[Qi-Wen],
The Uncertainty of Nighttime Light Data in Estimating Carbon Dioxide Emissions in China: A Comparison between DMSP-OLS and NPP-VIIRS,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Qi, K.[Kun], Hu, Y.N.[Yi-Na], Cheng, C.Q.[Cheng-Qi], Chen, B.[Bo],
Transferability of Economy Estimation Based on DMSP/OLS Night-Time Light,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Chen, Z., Yu, B., Song, W., Liu, H., Wu, Q., Shi, K., Wu, J.,
A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing,
GeoRS(55), No. 11, November 2017, pp. 6305-6319.
IEEE DOI 1711
Biological system modeling, Economics, Employment, Sociology, Statistics, Transportation, Urban areas, Localized contour tree, nighttime light (NTL) data, polycentric urban structure, BibRef

Pok, S.[Sophak], Matsushita, B.[Bunkei], Fukushima, T.[Takehiko],
An easily implemented method to estimate impervious surface area on a large scale from MODIS time-series and improved DMSP-OLS nighttime light data,
PandRS(133), No. Supplement C, 2017, pp. 104-115.
Elsevier DOI 1711
Impervious surface area, Temporal mixture analysis, EANTLI, BibRef

Zou, Y.H.[Yan-Hong], Peng, H.Q.[Hai-Quan], Liu, G.[Geng], Yang, K.[Kuanda], Xie, Y.H.[Yan-Hua], Weng, Q.H.[Qi-Hao],
Monitoring Urban Clusters Expansion in the Middle Reaches of the Yangtze River, China, Using Time-Series Nighttime Light Images,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Yang, Y.[Yuli], Ma, M.G.[Ming-Guo], Tan, C.[Chao], Li, W.P.[Wang-Ping],
Spatial Recognition of the Urban-Rural Fringe of Beijing Using DMSP/OLS Nighttime Light Data,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Lu, H.M.[Hui-Min], Zhang, M.L.[Mei-Liang], Sun, W.W.[Wei-Wei], Li, W.Y.[Wei-Yue],
Expansion Analysis of Yangtze River Delta Urban Agglomeration Using DMSP/OLS Nighttime Light Imagery for 1993 to 2012,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
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Wu, W.J.[Wen-Jia], Zhao, H.R.[Hong-Rui], Jiang, S.L.[Shu-Long],
A Zipf's Law-Based Method for Mapping Urban Areas Using NPP-VIIRS Nighttime Light Data,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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Yu, S.[Sisi], Zhang, Z.X.[Zeng-Xiang], Liu, F.[Fang],
Monitoring Population Evolution in China Using Time-Series DMSP/OLS Nightlight Imagery,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Wu, R.W.[Rong-Wei], Yang, D.[Degang], Dong, J.F.[Jie-Fang], Zhang, L.[Lu], Xia, F.Q.A.[Fu-Qi-Ang],
Regional Inequality in China Based on NPP-VIIRS Night-Time Light Imagery,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Ma, W.T.[Wen-Ting], Li, P.J.[Pei-Jun],
An Object Similarity-Based Thresholding Method for Urban Area Mapping from Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Data,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Ma, T.[Ting], Xu, T.[Tao], Huang, L.[Lin], Zhou, A.[Alicia],
A Human Settlement Composite Index (HSCI) Derived from Nighttime Luminosity Associated with Imperviousness and Vegetation Indexes,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Ma, T.[Ting], Yin, Z.[Zhan], Zhou, A.[Alicia],
Delineating Spatial Patterns in Human Settlements Using VIIRS Nighttime Light Data: A Watershed-Based Partition Approach,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Rausch, L.[Lea], Friesen, J.[John], Altherr, L.C.[Lena C.], Meck, M.[Marvin], Pelz, P.F.[Peter F.],
A Holistic Concept to Design Optimal Water Supply Infrastructures for Informal Settlements Using Remote Sensing Data,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Li, X.[Xue], Zhan, C.[Cong], Tao, J.B.[Jian-Bing], Li, L.[Liang],
Long-Term Monitoring of the Impacts of Disaster on Human Activity Using DMSP/OLS Nighttime Light Data: A Case Study of the 2008 Wenchuan, China Earthquake,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Xue, X.Y.[Xing-Yu], Yu, Z.[Zhoulu], Zhu, S.C.[Shao-Chun], Zheng, Q.M.[Qi-Ming], Weston, M.[Melanie], Wang, K.[Ke], Gan, M.[Muye], Xu, H.W.[Hong-Wei],
Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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Ma, T.[Ting],
An Estimate of the Pixel-Level Connection between Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Nighttime Lights and Land Features across China,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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Li, X.[Xi], Liu, S.S.[Shan-Shan], Jendryke, M.[Michael], Li, D.R.[De-Ren], Wu, C.Q.[Chuan-Qing],
Night-Time Light Dynamics during the Iraqi Civil War,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Ma, T.[Ting],
Multi-Level Relationships between Satellite-Derived Nighttime Lighting Signals and Social Media-Derived Human Population Dynamics,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Lu, H.[Heli], Zhang, C.R.[Chuan-Rong], Liu, G.F.[Gui-Fang], Ye, X.Y.[Xin-Yue], Miao, C.H.[Chang-Hong],
Mapping China's Ghost Cities through the Combination of Nighttime Satellite Data and Daytime Satellite Data,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Jiang, W.[Wei], He, G.J.[Guo-Jin], Leng, W.C.[Wan-Chun], Long, T.F.[Teng-Fei], Wang, G.Z.[Gui-Zhou], Liu, H.C.[Hui-Chan], Peng, Y.[Yan], Yin, R.[Ranyu], Guo, H.X.[Hong-Xiang],
Characterizing Light Pollution Trends across Protected Areas in China Using Nighttime Light Remote Sensing Data,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Ma, T.[Ting],
Quantitative Responses of Satellite-Derived Nighttime Lighting Signals to Anthropogenic Land-Use and Land-Cover Changes across China,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Li, K.[Kangning], Chen, Y.H.[Yun-Hao], Li, Y.[Ying],
The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
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Geronimo, R.C.[Rollan C.], Franklin, E.C.[Erik C.], Brainard, R.E.[Russell E.], Elvidge, C.D.[Christopher D.], Santos, M.D.[Mudjekeewis D.], Venegas, R.[Roberto], Mora, C.[Camilo],
Mapping Fishing Activities and Suitable Fishing Grounds Using Nighttime Satellite Images and Maximum Entropy Modelling,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Zhao, N.Z.[Nai-Zhuo], Cao, G.F.[Guo-Feng], Zhang, W.[Wei], Samson, E.L.[Eric L.],
Tweets or nighttime lights: Comparison for preeminence in estimating socioeconomic factors,
PandRS(146), 2018, pp. 1-10.
Elsevier DOI 1812
Nighttime lights imagery, Twitter, Socioeconomic factors, Location-based social media, The United States BibRef

Li, H.M.[Hui-Min], Li, X.G.[Xiao-Gang], Yang, X.Y.[Xiao-Ying], Zhang, H.[Hao],
Analyzing the Relationship between Developed Land Area and Nighttime Light Emissions of 36 Chinese Cities,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
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Chu, H.J.[Hone-Jay], Yang, C.H.[Chen-Han], Chou, C.C.[Chelsea C.],
Adaptive Non-Negative Geographically Weighted Regression for Population Density Estimation Based on Nighttime Light,
IJGI(8), No. 1, 2019, pp. xx-yy.
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Ghosh, T.[Tilottama], Elvidge, C.D.[Christopher D.], Hsu, F.C.[Feng-Chi], Zhizhin, M.[Mikhail], Bazilian, M.[Morgan],
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Nighttime light imagery, Land use and land cover changes, Urbanization, Time series analysis, Megacities, Urban areas, Sustainability BibRef

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DOI Link 2103
BibRef

Hsu, F.C.[Feng-Chi], Zhizhin, M.[Mikhail], Ghosh, T.[Tilottama], Elvidge, C.[Christopher], Taneja, J.[Jay],
The Annual Cycling of Nighttime Lights in India,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Alahmadi, M.[Mohammed], Mansour, S.[Shawky], Martin, D.[David], Atkinson, P.M.[Peter M.],
An Improved Index for Urban Population Distribution Mapping Based on Nighttime Lights (DMSP-OLS) Data: An Experiment in Riyadh Province, Saudi Arabia,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Zhong, Y.[Yang], Lin, A.[Aiwen], Xiao, C.W.[Chi-Wei], Zhou, Z.G.[Zhi-Gao],
Research on the Spatio-Temporal Dynamic Evolution Characteristics and Influencing Factors of Electrical Power Consumption in Three Urban Agglomerations of Yangtze River Economic Belt, China Based on DMSP/OLS Night Light Data,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Yu, M.[Min], Guo, S.[Shan], Guan, Y.N.[Yan-Ning], Cai, D.[Danlu], Zhang, C.Y.[Chun-Yan], Fraedrich, K.[Klaus], Liao, Z.[Zhouwei], Zhang, X.X.[Xiao-Xin], Tian, Z.Z.[Zhuang-Zhuang],
Spatiotemporal Heterogeneity Analysis of Yangtze River Delta Urban Agglomeration: Evidence from Nighttime Light Data (2001-2019),
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Ma, D.[Ding], Guo, R.Z.[Ren-Zhong], Jing, Y.[Ying], Zheng, Y.[Ye], Zhao, Z.G.[Zhi-Gang], Yang, J.H.[Jia-Hao],
Intra-Urban Scaling Properties Examined by Automatically Extracted City Hotspots from Street Data and Nighttime Light Imagery,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Huang, X.[Xin], Yang, J.J.[Jun-Jing], Li, J.Y.[Jia-Yi], Wen, D.W.[Da-Wei],
Urban functional zone mapping by integrating high spatial resolution nighttime light and daytime multi-view imagery,
PandRS(175), 2021, pp. 403-415.
Elsevier DOI 2105
Multi-view, High-resolution, Urban, Nighttime light, Urban functional zones, Multi-source, Data fusion BibRef

Sciezor, T.[Tomasz],
Effect of Street Lighting on the Urban and Rural Night-Time Radiance and the Brightness of the Night Sky,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Ye, Y.[Yang], Deng, J.S.[Jin-Song], Huang, L.Y.[Ling-Yan], Zheng, Q.M.[Qi-Ming], Wang, K.[Ke], Tong, C.[Cheng], Hong, Y.[Yang],
Modeling and Prediction of NPP-VIIRS Nighttime Light Imagery Based on Spatiotemporal Statistical Method,
GeoRS(59), No. 6, June 2021, pp. 4934-4946.
IEEE DOI 2106
Time series analysis, Urban areas, Predictive models, Interpolation, Economic indicators, Clouds, temporal curve fitting BibRef

Liu, H.Y.[Hao-Yu], He, X.W.[Xian-Wen], Bai, Y.B.[Yan-Bing], Liu, X.[Xing], Wu, Y.L.[Yi-Lin], Zhao, Y.Y.[Yan-Yun], Yang, H.F.[Han-Fang],
Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference Around Mainland China via Attention-Augmented CNN from Daytime Satellite Imagery,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef
And: Erratum: RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zhao, F.[Fei], Song, L.[Lu], Peng, Z.Y.[Zhi-Yan], Yang, J.Q.[Jian-Qin], Luan, G.Z.[Gui-Ze], Chu, C.[Chen], Ding, J.Y.[Jie-Yu], Feng, S.W.[Si-Wen], Jing, Y.H.[Yu-Hang], Xie, Z.Q.[Zhi-Qiang],
Night-Time Light Remote Sensing Mapping: Construction and Analysis of Ethnic Minority Development Index,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Barentine, J.C.[John C.], Walczak, K.[Ken], Gyuk, G.[Geza], Tarr, C.[Cynthia], Longcore, T.[Travis],
A Case for a New Satellite Mission for Remote Sensing of Night Lights,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Li, Y.[Yu], Ye, H.P.[Hai-Peng], Gao, X.[Xing], Sun, D.Q.[Dong-Qi], Li, Z.[Zehong], Zhang, N.H.[Ning-Hui], Leng, X.J.[Xue-Jing], Meng, D.[Dan], Zheng, J.[Ji],
Spatiotemporal Patterns of Urbanization in the Three Most Developed Urban Agglomerations in China Based on Continuous Nighttime Light Data (2000-2018),
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Gibson, J.[John], Boe-Gibson, G.[Geua],
Nighttime Lights and County-Level Economic Activity in the United States: 2001 to 2019,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Sánchez de Miguel, A.[Alejandro], Bennie, J.[Jonathan], Rosenfeld, E.[Emma], Dzurjak, S.[Simon], Gaston, K.J.[Kevin J.],
First Estimation of Global Trends in Nocturnal Power Emissions Reveals Acceleration of Light Pollution,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Dong, B.[Baiyu], Ye, Y.[Yang], You, S.[Shixue], Zheng, Q.M.[Qi-Ming], Huang, L.Y.[Ling-Yan], Zhu, C.[Congmou], Tong, C.[Cheng], Li, S.[Sinan], Li, Y.J.[Yong-Jun], Wang, K.[Ke],
Identifying and Classifying Shrinking Cities Using Long-Term Continuous Night-Time Light Time Series,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Tian, S.[Suzheng], Feng, R.[Ruyi], Zhao, J.[Ji], Wang, L.[Lizhe],
An Analysis of the Work Resumption in China under the COVID-19 Epidemic Based on Night Time Lights Data,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Rybnikova, N.[Nataliya], Portnov, B.A.[Boris A.], Charney, I.[Igal], Rybnikov, S.[Sviatoslav],
Delineating Functional Urban Areas Using a Multi-Step Analysis of Artificial Light-at-Night Data,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Espey, B.R.[Brian R.],
Empirical Modelling of Public Lighting Emission Functions,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Xu, J.W.[Jin-Wen], Qiang, Y.[Yi],
Spatial Assessment of Community Resilience from 2012 Hurricane Sandy Using Nighttime Light,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Liu, D.[Di], Zhang, Q.L.[Qing-Ling], Wang, J.[Jiao], Wang, Y.F.[Yi-Fang], Shen, Y.Y.[Yan-Yun], Shuai, Y.M.[Yan-Min],
The Potential of Moonlight Remote Sensing: A Systematic Assessment with Multi-Source Nightlight Remote Sensing Data,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Weidmann, N.B.[Nils B.], Theunissen, G.[Gerlinde],
Estimating Local Inequality from Nighttime Lights,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Rybnikova, N.[Natalia], Sánchez de Miguel, A.[Alejandro], Rybnikov, S.[Sviatoslav], Brook, A.[Anna],
A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Wu, J.[Ji], Zhang, Z.[Zhi], Yang, X.[Xiao], Li, X.[Xi],
Analyzing Pixel-Level Relationships between Luojia 1-01 Nighttime Light and Urban Surface Features by Separating the Pixel Blooming Effect,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Jiang, L.[Luguang], Liu, Y.[Ye], Wu, S.[Si], Yang, C.[Cheng],
Study on Urban Spatial Pattern Based on DMSP/OLS and NPP/VIIRS in Democratic People's Republic of Korea,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhou, L.L.[Liang-Liang], Shi, Y.S.[Yi-Shao], Zheng, J.W.[Jian-Wen],
Business Circle Identification and Spatiotemporal Characteristics in the Main Urban Area of Yiwu City Based on POI and Night-Time Light Data,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Dubey, R.[Rakesh], Bharadwaj, S.[Shruti], Zafar, M.I.[Md Iltaf], Mahajan, V.[Vanshu], Srivastava, A.[Anubhava], Biswas, S.[Susham],
GIS Mapping of Short-Term Noisy Event of Diwali Night in Lucknow City,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Yong, Z.W.[Zhi-Wei], Li, K.[Kun], Xiong, J.[Junnan], Cheng, W.M.[Wei-Ming], Wang, Z.[Zegen], Sun, H.Z.[Huai-Zhang], Ye, C.C.[Chong-Chong],
Integrating DMSP-OLS and NPP-VIIRS Nighttime Light Data to Evaluate Poverty in Southwestern China,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Song, H.P.[Hai-Peng], He, T.T.[Ting-Ting],
Spatio-Temporal Dynamics of National Characteristic Towns in China Using Nighttime Light Data,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Wei, S.R.[Sheng-Rong], Jiao, W.[Weili], Liu, H.C.[Hui-Chan], Long, T.F.[Teng-Fei], Liu, Y.K.[Yong-Kun], Ji, P.[Ping], Hou, R.X.[Rui-Xia], Zhang, N.J.[Nai-Jing], Xiao, Y.D.[Yun-Dan],
Research on Comfort Evaluation Model of Urban Residents' Public Space Lighting Integrating Public Perception and Nighttime Light Remote Sensing Data,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Rybnikova, N.[Nataliya],
Everynight Accounting: Nighttime Lights as a Proxy for Economic Performance of Regions,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Wu, M.Q.[Ming-Quan], Ye, H.[Huichun], Niu, Z.[Zheng], Huang, W.J.[Wen-Jiang], Hao, P.Y.[Peng-Yu], Li, W.[Wang], Yu, B.[Bo],
Operation Status Comparison Monitoring of China's Southeast Asian Industrial Parks before and after COVID-19 Using Nighttime Lights Data,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

McCord, G.C.[Gordon Carlos], Rodriguez-Heredia, M.[Mario],
Nightlights and Subnational Economic Activity: Estimating Departmental GDP in Paraguay,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Zhang, X.X.[Xiao-Xuan], Gibson, J.[John],
Using Multi-Source Nighttime Lights Data to Proxy for County-Level Economic Activity in China from 2012 to 2019,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Polinov, S.[Semion], Bookman, R.[Revital], Levin, N.[Noam],
A Global Assessment of Night Lights as an Indicator for Shipping Activity in Anchorage Areas,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Bluhm, R.[Richard], McCord, G.C.[Gordon C.],
What Can We Learn from Nighttime Lights for Small Geographies? Measurement Errors and Heterogeneous Elasticities,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Gao, X.[Xumiao], Wu, M.Q.[Ming-Quan], Niu, Z.[Zheng], Chen, F.[Fang],
Global Identification of Unelectrified Built-Up Areas by Remote Sensing,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Massetti, L.[Luciano], Paterni, M.[Marco], Merlino, S.[Silvia],
Monitoring Light Pollution with an Unmanned Aerial Vehicle: A Case Study Comparing RGB Images and Night Ground Brightness,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Guan, Z.C.[Zhi-Chao], Zhang, G.[Guo], Jiang, Y.H.[Yong-Hua], Shen, X.[Xin], Li, Z.[Zhen],
Luojia-1 Nightlight Image Registration Based on Sparse Lights,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Schwind, P.[Peter], Storch, T.[Tobias],
Georeferencing Urban Nighttime Lights Imagery Using Street Network Maps,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Li, M.X.[Ming-Xiao], Tu, W.[Wei], Lu, F.[Feng],
Sensing the Nighttime Economy-Housing Imbalance from a Mobile Phone Data Perspective: A Case Study in Shanghai,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Zhang, B.G.[Bao-Gang], Li, Y.W.[Yi-Wei], Liu, M.[Ming], Liu, Y.C.[Yu-Chuan], Luo, T.[Tong], Liu, Q.Y.[Qing-Yuan], Feng, L.[Lie], Jiao, W.[Weili],
Research on Inversion and Correction Method of Urban Light Environment Based on Cooperative Observation,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Cao, C.Y.[Chang-Yong], Zhang, B.[Bin], Xia, F.[Frank], Bai, Y.[Yan],
Exploring VIIRS Night Light Long-Term Time Series with CNN/SI for Urban Change Detection and Aerosol Monitoring,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Yan, Y.Y.[Yang-Yang], Lei, H.[Hui], Chen, Y.H.[Yi-Hong], Zhou, B.[Bin],
Analyzing the Dynamic Spatiotemporal Changes in Urban Extension across Zhejiang Province Using NPP-VIIRS Nighttime Light Data,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhang, Q.F.[Qi-Fei], Zheng, Z.[Zihao], Wu, Z.F.[Zhi-Feng], Cao, Z.[Zheng], Luo, R.[Renbo],
Using Multi-Source Geospatial Information to Reduce the Saturation Problem of DMSP/OLS Nighttime Light Data,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Ding, Y.[Yuan], Hu, J.[Jia], Yang, Y.B.[Ying-Bao], Ma, W.Y.[Wen-Yu], Jiang, S.X.[Song-Xiu], Pan, X.[Xin], Zhang, Y.[Yong], Zhu, J.J.[Jing-Jing], Cao, K.[Kai],
Monitoring the Distribution and Variations of City Size Based on Night-Time Light Remote Sensing: A Case Study in the Yangtze River Delta of China,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Jiang, F.M.[Fang-Ming], Ye, Y.[Yang], He, Z.[Zhen], Cai, J.[Jianwu], Shen, A.[Aihua], Peng, R.[Rui], Chen, B.[Binjie], Tong, C.[Chen], Deng, J.S.[Jin-Song],
Revealing the Spatiotemporal Patterns of Anthropogenic Light at Night within Ecological Conservation Redline Using Series Satellite Nighttime Imageries (2000-2020),
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Gu, Y.[Yan], Shao, Z.F.[Zhen-Feng], Huang, X.[Xiao], Cai, B.[Bowen],
GDP Forecasting Model for China's Provinces Using Nighttime Light Remote Sensing Data,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

La Roe, J.[Jillian], Holmes, C.M.[Christopher M.], Schad, T.[Thorsten],
Nightlight Intensity Change Surrounding Nature Reserves: A Case Study in Orbroicher Bruch Nature Reserve, Germany,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhu, C.J.[Chang-Jun], Li, X.[Xi], Ru, Y.X.[Yuan-Xi],
Assessment of Socioeconomic Dynamics and Electrification Progress in Tanzania Using VIIRS Nighttime Light Images,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Ru, Y.X.[Yuan-Xi], Li, X.[Xi], Belay, W.A.[Wubetu Anley],
Tracking Spatiotemporal Patterns of Rwanda's Electrification Using Multi-Temporal VIIRS Nighttime Light Imagery,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Wang, M.Y.[Ming-Yue], Feng, C.H.[Chun-Hui], Hu, B.[Bifeng], Wang, N.[Nan], Xu, J.T.[Jin-Tao], Ma, Z.Q.[Zi-Qiang], Peng, J.[Jie], Shi, Z.[Zhou],
A New Framework for Reconstructing Time Series DMSP-OLS Nighttime Light Data Using the Improved Stepwise Calibration (ISC) Method,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Li, C.G.[Chen-Gen], Li, X.[Xi], Zhu, C.J.[Chang-Jun],
Night-Time Skyglow Dynamics during the COVID-19 Epidemic in Guangbutun Region of Wuhan City,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Xu, N.[Nuo], Xu, Y.M.[Yong-Ming], Yan, Y.F.[Yi-Fei], Guo, Z.X.[Zi-Xuan], Wang, B.[Baizhi], Zhou, X.[Xiang],
Evaluating Road Lighting Quality Using High-Resolution JL1-3B Nighttime Light Remote Sensing Data: A Case Study in Nanjing, China,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Chang, Z.J.[Zhi-Jian], Liu, S.[Shirao], Wu, Y.Z.[Yi-Zhen], Shi, K.F.[Kai-Fang],
The Regional Disparity of Urban Spatial Expansion Is Greater than That of Urban Socioeconomic Expansion in China: A New Perspective from Nighttime Light Remotely Sensed Data and Urban Land Datasets,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Zheng, Z.H.[Zi-Hao], Wu, Z.F.[Zhi-Feng], Cao, Z.[Zheng], Zhang, Q.F.[Qi-Fei], Chen, Y.B.[Ying-Biao], Guo, G.H.[Guan-Hua], Yang, Z.W.[Zhi-Wei], Guo, C.[Cheng], Wang, X.[Xin], Marinello, F.[Francesco],
Estimates of Power Shortages and Affected Populations during the Initial Period of the Ukrainian-Russian Conflict,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zhang, B.[Bin], Yin, J.[Jian], Jiang, H.T.[Hong-Tao], Qiu, Y.H.[Yuan-Hong],
Application of Social Network Analysis in the Economic Connection of Urban Agglomerations Based on Nighttime Lights Remote Sensing: A Case Study in the New Western Land-Sea Corridor, China,
IJGI(11), No. 10, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Song, L.[Lu], Wang, J.[Jing], Zhang, Y.Y.[Yi-Yang], Zhao, F.[Fei], Zhu, S.J.[Si-Jin], Jiang, L.[Leyi], Du, Q.Y.[Qing-Yun], Zhao, X.Q.[Xiao-Qing], Li, Y.M.[Yi-Min],
Sliding Window Detection and Analysis Method of Night-Time Light Remote Sensing Time Series: A Case Study of the Torch Festival in Yunnan Province, China,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Wu, J.[Jihao], Tu, Y.[Yue], Chen, Z.Q.[Zuo-Qi], Yu, B.L.[Bai-Lang],
Analyzing the Spatially Heterogeneous Relationships between Nighttime Light Intensity and Human Activities across Chongqing, China,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Fiorentin, P.[Pietro], Binotto, R.[Renata], Cavazzani, S.[Stefano], Bertolo, A.[Andrea], Ortolani, S.[Sergio], Saviane, I.[Ivo],
Long-Time Trends in Night Sky Brightness and Ageing of SQM Radiometers,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Chen, C.L.[Chao-Liang], Sun, J.[Jiayu], Qian, J.[Jing], Chen, X.[Xi], Hu, Z.Y.[Zeng-Yun], Jia, G.X.[Gong-Xu], Xing, X.W.[Xiu-Wei], Wei, S.J.[Shu-Jie],
Indirect Assessment of Watershed SDG7 Development Process Using Nighttime Light Data: An Example of the Aral Sea Watershed,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Zhu, J.[Jie], Lang, Z.Q.[Zi-Qi], Yang, J.[Jing], Wang, M.H.[Mei-Hui], Zheng, J.Z.[Jia-Zhu], Na, J.M.[Jia-Ming],
Integrating Spatial Heterogeneity to Identify the Urban Fringe Area Based on NPP/VIIRS Nighttime Light Data and Dual Spatial Clustering,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Chang, D.K.[Ding-Kun], Wang, Q.J.[Qin-Jun], Yang, J.Y.[Jing-Yi], Xu, W.T.[Wen-Tao],
Research on Road Extraction Method Based on Sustainable Development Goals Satellite-1 Nighttime Light Data,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Liu, S.Q.[Shang-Qin], Zhao, X.Z.[Xi-Zhi], Zhang, F.[Fuhao], Qiu, A.[Agen], Chen, L.J.[Liu-Jia], Huang, J.[Jing], Chen, S.[Song], Zhang, S.[Shu],
Spatial Downscaling of NPP-VIIRS Nighttime Light Data Using Multiscale Geographically Weighted Regression and Multi-Source Variables,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Li, F.[Feng], Liu, J.[Jun], Zhang, M.D.[Mei-Dong], Liao, S.B.[Shun-Bao], Hu, W.J.[Wen-Jie],
Assessment of Economic Recovery in Hebei Province, China, under the COVID-19 Pandemic Using Nighttime Light Data,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Jie, N.[Na], Cao, X.[Xin], Chen, J.[Jin], Chen, X.H.[Xue-Hong],
A New Method for Identifying the Central Business Districts with Nighttime Light Radiance and Angular Effects,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Xie, Z.W.[Zhi-Wei], Yuan, M.L.[Ming-Liang], Zhang, F.Y.[Feng-Yuan], Chen, M.[Min], Tian, M.[Meng], Sun, L.[Lishuang], Su, G.Q.[Guo-Qing], Liu, R.Z.[Rui-Zhao],
A Structure Identification Method for Urban Agglomeration Based on Nighttime Light Data and Railway Data,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Cui, H.D.[Hao-Dong], Qiu, S.[Shi], Wang, Y.C.[Yi-Cheng], Zhang, Y.[Yu], Liu, Z.Y.[Zhao-Yan], Karila, K.[Kirsi], Jia, J.X.[Jian-Xin], Chen, Y.W.[Yu-Wei],
Disaster-Caused Power Outage Detection at Night Using VIIRS DNB Images,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Zhao, Z.Z.[Zong-Ze], Tang, X.J.[Xiao-Jie], Wang, C.[Cheng], Cheng, G.[Gang], Ma, C.[Chao], Wang, H.T.[Hong-Tao], Sun, B.[Bingke],
Analysis of the Spatial and Temporal Evolution of the GDP in Henan Province Based on Nighttime Light Data,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Combs, C.L.[Cynthia L.], Miller, S.D.[Steven D.],
A Review of the Far-Reaching Usage of Low-Light Nighttime Data,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Alahmadi, M.[Mohammed], Mansour, S.[Shawky], Dasgupta, N.[Nataraj], Martin, D.J.[David J.],
Using Nighttime Lights Data to Assess the Resumption of Religious and Socioeconomic Activities Post-COVID-19,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Yang, J.X.[Jian-Xin], Yuan, M.[Man], Yang, S.B.[Sheng-Bing], Zhang, D.[Danxia], Wang, Y.G.[Ying-Ge], Song, D.[Daiyi], Dai, Y.Z.[Yun-Ze], Gao, Y.[Yan], Gong, J.[Jian],
Spatial Diffusion Waves of Human Activities: Evidence from Harmonized Nighttime Light Data during 1992-2018 in 234 Cities of China,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Chen, L.J.[Li-Jun], Zhang, H.P.[Hai-Ping], Wang, Z.Q.[Zhi-Qiang],
Township Development and Transport Hub Level: Analysis by Remote Sensing of Nighttime Light,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Ma, R.[Rui], Wu, W.Z.[Wen-Zhou], Wang, Q.[Qi], Liu, N.[Na], Chang, Y.T.[Yu-Tong],
Offshore Hydrocarbon Exploitation Target Extraction Based on Time-Series Night Light Remote Sensing Images and Machine Learning Models: A Comparison of Six Machine Learning Algorithms and Their Multi-Feature Importance,
RS(15), No. 7, 2023, pp. 1843.
DOI Link 2304
BibRef

Levin, N.[Noam],
Using Night Lights from Space to Assess Areas Impacted by the 2023 Turkey Earthquake,
RS(15), No. 8, 2023, pp. 2120.
DOI Link 2305
BibRef

Martinez, J.F.[Juan Fernando], MacManus, K.[Kytt], Stokes, E.C.[Eleanor C.], Wang, Z.S.[Zhuo-Sen], de Sherbinin, A.[Alex],
Suitability of NASA's Black Marble Daily Nighttime Lights for Population Studies at Varying Spatial and Temporal Scales,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Espey, B.R.[Brian R.], Yan, X.H.[Xin-Hang], Patrascu, K.[Kevin],
Real-World Urban Light Emission Functions and Quantitative Comparison with Spacecraft Measurements,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Ye, Y.Q.[Yu-Qing], Yun, G.L.[Guo-Liang], He, Y.R.[Yuan-Rong], Lin, R.J.[Rui-Jin], He, T.T.[Ting-Ting], Qian, Z.H.[Zhi-Heng],
Spatiotemporal Characteristics of Urbanization in the Taiwan Strait Based on Nighttime Light Data from 1992 to 2020,
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Zhou, G.Q.[Guo-Qing], Wu, D.[Da], Zhou, X.[Xiao], Zhu, Q.[Qiang],
Coordination Analysis between the Development of Urban Built-Up Areas and Urban Environmental Factors through Remote Sensing of Nighttime Lights: A Case Study in Nanjing, China,
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Yuan, Y.[Yuan], Wang, C.X.[Cong-Xiao], Liu, S.Y.[Shao-Yang], Chen, Z.Q.[Zuo-Qi], Ma, X.L.[Xiao-Long], Li, W.[Wei], Zhang, L.X.[Ling-Xian], Yu, B.L.[Bai-Lang],
The Changes in Nighttime Lights Caused by the Turkey-Syria Earthquake Using NOAA-20 VIIRS Day/Night Band Data,
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da Rocha-Bragion, G.[Gabriel], Dal'Asta, A.P.[Ana Paula], Amaral, S.[Silvana],
Bringing to Light the Potential of Angular Nighttime Composites for Monitoring Human Activities in the Brazilian Legal Amazon,
RS(15), No. 14, 2023, pp. 3515.
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Zheng, Q.M.[Qi-Ming], Seto, K.C.[Karen C.], Zhou, Y.[Yuyu], You, S.[Shixue], Weng, Q.H.[Qi-Hao],
Nighttime light remote sensing for urban applications: Progress, challenges, and prospects,
PandRS(202), 2023, pp. 125-141.
Elsevier DOI 2308
Nighttime light, Urbanization, Human activities, Socioeconomic changes, Light pollution BibRef

Sun, L.[Li], Mao, X.[Xianglai], Feng, L.[Lan], Zhang, M.[Ming], Gui, X.[Xuan], Wu, X.J.[Xiao-Jun],
Investigating the Direct and Spillover Effects of Urbanization on Energy-Related Carbon Dioxide Emissions in China Using Nighttime Light Data,
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Bachmann, M.[Martin], Storch, T.[Tobias],
First Nighttime Light Spectra by Satellite: By EnMAP,
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Li, S.J.[Shi-Jie], Cao, X.[Xin], Zhao, C.C.[Chen-Chen], Jie, N.[Na], Liu, L.[Luling], Chen, X.[Xuehong], Cui, X.[Xihong],
Developing a Pixel-Scale Corrected Nighttime Light Dataset (PCNL, 1992-2021) Combining DMSP-OLS and NPP-VIIRS,
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Fan, Q.[Qiang], Shi, Y.[Yue], Mutale, B.[Bwalya], Cong, N.[Nan],
Spatiotemporal Gravitational Evolution of the Night Land Surface Temperature: An Empirical Study Based on Night Lights,
RS(15), No. 17, 2023, pp. 4347.
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Li, M.[Minying], Lin, J.[Jinyao], Ji, Z.[Zhengnan], Chen, K.[Kexin], Liu, J.X.[Jing-Xi],
Grid-Scale Poverty Assessment by Integrating High-Resolution Nighttime Light and Spatial Big Data: A Case Study in the Pearl River Delta,
RS(15), No. 18, 2023, pp. 4618.
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Chen, T.Y.[Tian-Yu], Zhou, Y.[Yuke], Zou, D.[Dan], Wu, J.T.[Jing-Tao], Chen, Y.[Yang], Wu, J.[Jiapei], Wang, J.[Jia],
Deciphering China's Socio-Economic Disparities: A Comprehensive Study Using Nighttime Light Data,
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Zhu, J.[Jie], Lang, Z.Q.[Zi-Qi], Wang, S.[Shu], Zhu, M.Y.[Meng-Yao], Na, J.[JiaMing], Zheng, J.Z.[Jia-Zhu],
Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA's Black Marble,
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Fu, B.[Bo], Xue, B.[Bing],
Temporal and Spatial Evolution Analysis and Correlation Measurement of Urban-Rural Fringes Based on Nighttime Light Data,
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Zhang, Z.X.[Zhao-Xu], Fu, S.H.[Shi-Hong], Li, J.Y.[Jia-Yi], Qiu, Y.C.[Yu-Chen], Shi, Z.W.[Zhen-Wei], Sun, Y.H.[Yuan-Heng],
Spatiotemporal Analysis and Prediction of Carbon Emissions from Energy Consumption in China through Nighttime Light Remote Sensing,
RS(16), No. 1, 2024, pp. xx-yy.
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Bao, H.[Han], Tao, H.Y.[Hai-Yan], Zhuo, L.[Li], Shi, Q.L.[Qing-Li], Guo, S.Y.[Si-Ying],
Estimation of Economic Spillover Effects under the Hierarchical Structure of Urban Agglomeration Based on Time-Series Night-Time Lights: A Case Study of the Pearl River Delta, China,
RS(16), No. 2, 2024, pp. 394.
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Chen, Z.Q.[Zuo-Qi], Xu, W.X.[Wen-Xiang], Zhao, Z.Y.[Zhi-Yuan],
The Assessment of Industrial Agglomeration in China Based on NPP-VIIRS Nighttime Light Imagery and POI Data,
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Ryan, R.E.[Robert E.], Pagnutti, M.[Mary], Ryan, H.[Hannah], Burch, K.[Kara], Manriquez, K.[Kimberly],
Satellite Hyperspectral Nighttime Light Observation and Identification with DESIS,
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Kii, M.[Masanobu], Matsumoto, K.[Kunihiko], Sugita, S.[Satoru],
Future Scenarios of Urban Nighttime Lights: A Method for Global Cities and Its Application to Urban Expansion and Carbon Emission Estimation,
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Aggarwal, E.[Ekta], Whittaker, A.C.[Alexander C.], Gupta, S.[Sanjeev],
Investigating the Influence of River Geomorphology on Human Presence Using Night Light Data: A Case Study in the Indus Basin,
RS(16), No. 7, 2024, pp. 1272.
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Cao, Y.W.[Yong-Wang], Liu, S.[Song], Yang, Z.G.[Zai-Gao],
Identifying the Spatial Range of the Pearl River Delta Urban Agglomeration by Fusing Nighttime Light Data with Weibo Sign-In Data,
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Adaptive Nighttime-Light-Based Building Stock Assessment Framework for Future Environmentally Sustainable Management,
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Mitsova, D.[Diana], Li, Y.[Yanmei], Einsteder, R.[Ross], Briggs, T.R.[Tiffany Roberts], Sapat, A.[Alka], Esnard, A.M.[Ann-Margaret],
Using Nighttime Light Data to Explore the Extent of Power Outages in the Florida Panhandle after 2018 Hurricane Michael,
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The Ecological Economics of Light Pollution: Impacts on Ecosystem Service Value,
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Qian, J.Q.[Jia-Qi], Guan, Y.N.[Yan-Ning], Yang, T.[Tao], Ruan, A.[Aoming], Yao, W.[Wutao], Deng, R.[Rui], Wei, Z.S.[Zhi-Shou], Zhang, C.Y.[Chun-Yan], Guo, S.[Shan],
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Zhang, B.G.[Bao-Gang], Liu, M.[Ming], Li, R.C.[Rui-Cong], Liu, J.[Jie], Feng, L.[Lie], Zhang, H.[Han], Jiao, W.[Weili], Lang, L.[Liang],
Evaluation of Urban Microscopic Nighttime Light Environment Based on the Coupling Observation of Remote Sensing and UAV Observation,
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Lei, Z.[Zhen], Zhou, S.[Shulei], Cheng, P.G.[Peng-Gen], Xie, Y.J.[Yi-Jie],
Improved Population Mapping for China Using the 3D Building, Nighttime Light, Points-of-Interest, and Land Use/Cover Data within a Multiscale Geographically Weighted Regression Model,
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Assessment of Systematic Errors in Mapping Electricity Access Using Night-Time Lights: A Case Study of Rwanda and Kenya,
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Guo, X.Z.[Xiao-Zheng], Wang, Y.[Yimei],
Estimation of Regional Electricity Consumption Using National Polar-Orbiting Partnership's Visible Infrared Imaging Radiometer Suite Night-Time Light Data with Gradient Boosting Regression Trees,
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Stoken, A.[Alex], Ilhardt, P.[Peter], Lambert, M.[Mark], Fisher, K.[Kenton],
(Street) Lights Will Guide You: Georeferencing Nighttime Astronaut Photography of Earth,
EarthVision24(492-501)
IEEE DOI 2410
Photography, Location awareness, Earth, Roads, Geology, Soft sensors, Urban areas, Astronaut Photography, Image Matching, Remote Sensing, Nighttime Imagery BibRef

Benbihi, A.[Assia], Pradalier, C.[Cédric], Chum, O.[Ondrej],
Object-Guided Day-Night Visual localization in Urban Scenes,
ICPR22(3786-3793)
IEEE DOI 2212
Location awareness, Visualization, Image resolution, Semantics, Lighting, Object detection BibRef

Arellano, B., Roca, J.,
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Maghsoodi, M.O., Kazemi, A., Hedayati Aghmashadi, A., Gili, M.R.,
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Landscapes Impacted By Light,
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Forecasting Urban Expansion Based On Night Lights,
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Petrasova, A., Petras, V., van Berkel, D., Harmon, B.A., Mitasova, H., Meentemeyer, R.K.,
Open Source Approach To Urban Growth Simulation,
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Roychowdhury, K., Jones, S., Reinke, K., Arrowsmith, C.,
Night-Time Lights and Levels of Development: A Study Using Dmspols Night Time Images at the Sub-National Level,
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Akiyama, Y.,
Analysis of Light Intensity Data by the DMSP/OLS Satellite Image Using Existing Spatial Data for Monitoring Human Activity In Japan,
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Roads, buildings, population BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
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