LI X, XU H M, CHEN X L, et al. Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China[J]. Remote Sensing, 2013, 5(6): 3057-3081.
[2]
FORBES D J. Multi-scale Analysis of the Relationship between Economic Statistics and DMSP-OLS Night Light Images[J]. GIScience & Remote Sensing, 2013, 50(5): 483-499.
[3]
HENDERSON J V, STOREYGARD A, Weil D N. Measuring Economic Growth from Outer Space[J]. American Economic Review, 2012, 102(2): 994-1028.
[4]
CHEN X, NORDHAUS W D. Using Luminosity Data as a Proxy for Economic Statistics[J]. Proceedings of the National Academy of Sciences of the United States of America, 2011, 108(21): 8589-8594.
[5]
KEOLA S, ANDERSSON M, HALL O. Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth[J]. World Development, 2015, 66: 322-334.
[6]
GHOSH T, ANDERSON S, POWELL R L, et al. Estimation of Mexico's Informal Economy and Remittances Using Nighttime Imagery[J]. Remote Sensing, 2009, 1(3): 418-444.
[7]
DOLL C N H, MULLER J P, ELVIDGE C D. Night-time Imagery as a Tool for Global Mapping of Socioeconomic Parameters and Greenhouse Gas Emissions[J]. Ambio, 2000, 29(3): 157-162.
[8]
GHOSH T, POWELL R L, ELVIDGE C D, et al. Shedding Light on the Global Distribution of Economic Activity[J]. The Open Geography Journal, 2010, 3(1): 148-161.
[9]
SUTTON P, ROBERTS D, ELVIDGE C, et al. A Comparison of Nighttime Satellite Imagery and Population Density for the Continental United States[J]. Photogrammetric Engineering and Remote Sensing, 1997, 63(11): 1303-1313.
[10]
LO C P. Modeling the Population of China Using DMSP Operational Lines Cans System Nighttime Data[J]. Photogrammetric Engineering and Remote Sensing, 2001, 67(9): 1037-1047.
[11]
ZHUO Li, CHEN Jin, SHI Peijun, et al. Modeling Population Density of China in 1998 Based on DMSP/OLS Nighttime Light Image[J]. Acta Geographica Sinica, 2005, 60(2): 266-276.(卓莉, 陈晋, 史培军, 等. 基于夜间灯光数据的中国人口密度模拟[J]. 地理学报, 2005, 60(2): 266-276.)
[12]
AMARAL S, MONTEIRO A M V, CAMARA G, et al. DMSP/OLS Night-time Light Imagery for Urban Population Estimates in the Brazilian Amazon[J]. International Journal of Remote Sensing, 2006, 27(5-6): 855-870.
[13]
BRIGGS D J, GULLIVER J, FECHT D, et al. Dasymetric Modelling of Small-area Population Distribution Using Land Cover and Light Emissions Data[J]. Remote Sensing of Environment, 2007, 108(4): 451-466.
[14]
ZENG C Q, ZHOU Y, WANG S X, et al. Population Spatialization in China Based on Night-time Imagery and Land Use Data[J]. International Journal of Remote Sensing, 2011, 32(24): 9599-9620.
[15]
YANG X C, YUE W Z, GAO D W. Spatial Improvement of Human Population Distribution Based on Multi-sensor Remote-sensing Data: An Input for Exposure Assessment[J]. International Journal of Remote Sensing, 2013, 34(15): 5569-5583.
[16]
GAO Yi, WANG Hui, WANG Peitao, et al. Population Spatial Processing for Chinese Coastal Zones Based on Census and Multiple Night Light Data[J]. Resources Science, 2013, 35(12): 2517-2523.(高义, 王辉, 王培涛, 等. 基于人口普查与多源夜间灯光数据的海岸带人口空间化分析[J]. 资源科学, 2013, 35(12): 2517-2523.)
[17]
LETU H, HARA M, YAGI H, et al. Estimating Energy Consumption from Night-time DMPS/OLS Imagery after Correcting for Saturation Effects[J]. International Journal of Remote Sensing, 2010, 31(16): 4443-4458.
[18]
MIN B, GABA K M, SARR O F, et al. Detection of Rural Electrification in Africa Using DMSP-OLS Night Lights Imagery[J]. International Journal of Remote Sensing, 2013, 34(22): 8118-8141.
[19]
LO C P. Urban Indicators of China from Radiance-calibrated Digital DMSP-OLS Nighttime Images[J]. Annals of the Association of American Geographers, 2002, 92(2): 225-240.
[20]
SHI K, HUANG C, YU B, et al. Evaluation of NPP-VIIRS Night-time Light Composite Data for Extracting Built-up Urban Areas[J]. Remote Sensing Letters, 2014, 5(4): 358-366.
[21]
YANG Xuchao, KANG Lili, ZHANG Bin, et al. Electricity Consumption Estimation Using Multi-sensor Remote Sensing Data: A Case Study of Zhejiang Province[J]. Scientia Geographica Sinica, 2013, 33(6): 718-723.(杨续超, 康丽莉, 张斌, 等. 基于多源遥感信息的电力消费量估算与影响因素分析: 以浙江省为例[J]. 地理科学, 2013, 33(6): 718-723.)
[22]
HE C Y, MA Q, LIU Z F, et al. Modeling the Spatiotemporal Dynamics of Electric Power Consumption in Mainland China Using Saturation-corrected DMSP/OLS Nighttime Stable Light Data[J]. International Journal of Digital Earth, 2014, 7(12): 993-1014.
[23]
DOLL C N H, MULLER J P, ELVIDGE C D. Night-time Imagery as a Tool for Global Mapping of Socioeconomic Parameters and Greenhouse Gas Emissions[J]. AMBIO: A Journal of the Human Environment, 2000, 29(3): 157-162.
[24]
GHOSH T, ELVIDGE C D, SUTTON P C, et al. Creating a Global Grid of Distributed Fossil Fuel CO2 Emissions from Nighttime Satellite Imagery[J]. Energies, 2010, 3(12): 1895-1913.
[25]
SU Yongxian, CHEN Xiuzhi, YE Yuyao, et al. The Characteristics and Mechanisms of Carbon Emissions from Energy Consumption in China Using DMSP/OLS Night Light Imageries[J]. Acta Geographica Sinica, 2013, 68(11): 1513-1526.(苏泳娴, 陈修治, 叶玉瑶, 等. 基于夜间灯光数据的中国能源消费碳排放特征及机理[J]. 地理学报, 2013, 68(11): 1513-1526.)
[26]
ELVIDGE C D, BAUGH K E, ANDERSON S J, et al. The Night Light Development Index (NLDI): A Spatially Explicit Measure of Human Development from Satellite Data[J]. Social Geography, 2012, 7(1): 23-35.
[27]
ELVIDGE C D, SUTTON P C, GHOSH T, et al. A Global Poverty Map Derived from Satellite Data[J]. Computers & Geosciences, 2009, 35(8): 1652-1660.
[28]
PINKOVSKIY M L. Economic Discontinuities at Borders: Evidence from Satellite Data on Lights at Night[J/OL]. [2013-03]. http://economics.mit.edu/files/7271.
[29]
KROTH V, LARCINESE V, WEHNER J. A Better Life for All? Democratization and Electrification in Post-apartheid South Africa[J/OL]. [2014-01]. http://personal.lse.ac.uk/LARCINES/electrification%202014%20working%20paper.pdf.
[30]
HENDERSON M, YEH E T, GONG P, et al. Validation of Urban Boundaries Derived from Global Night-time Satellite Imagery[J]. International Journal of Remote Sensing, 2003, 24(3): 595-609.
[31]
SMALL C, POZZI F, ELVIDGE C D. Spatial Analysis of Global Urban Extent from DMSP-OLS Night Lights[J]. Remote Sensing of Environment, 2005, 96(3-4): 277-291.
[32]
SMALL C, ELVIDGE C D, BALK D, et al. Spatial Scaling of Stable Night Lights[J]. Remote Sensing of Environment, 2011, 115(2): 269-280.
[33]
YANG Yang, HE Chunyang, ZHAO Yuanyuan, et al. Research on the Layered Threshold Method for Extracting Urban Land Using the DMSP/OLS Stable Nighttime Light Data[J]. Journal of Image and Graphics, 2011, 16(4): 666-673.(杨洋, 何春阳, 赵媛媛, 等. 利用DMSP/OLS稳定夜间灯光数据提取城镇用地信息的分层阈值法研究[J]. 中国图象图形学报, 2011, 16(4): 666-673.)
[34]
ZHOU Y Y, SMITH S J, ELVIDGE C D, et al. A Cluster-based Method to Map Urban Area from DMSP/OLS Nightlights[J]. Remote Sensing of Environment, 2014, 147(5): 173-185.
[35]
HE C Y, SHI P J, LI J G, et al. Restoring Urbanization Process in China in the 1990s by Using Non-radiance-calibrated DMSP/OLS Nighttime Light Imagery and Statistical Data[J]. Chinese Science Bulletin, 2006, 51(13): 1614-1620.
[36]
SHI K F, YU B L, HUANG Y X, et al. 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[J]. Remote Sensing, 2014, 6(2): 1705-1724.
[37]
CAO X, CHEN J, IMURA H, et al. A SVM-based Method to Extract Urban Areas from DMSP-OLS and SPOT VGT Data[J]. Remote Sensing of Environment, 2009, 113(10): 2205-2209.
[38]
LU D S, TIAN H Q, ZHOU G M, et al. Regional Mapping of Human Settlements in Southeastern China with Multisensor Remotely Sensed Data[J]. Remote Sensing of Environment, 2008, 112(9): 3668-3679.
[39]
YANG Y, HE C Y, ZHANG Q F, et al. Timely and Accurate National-scale Mapping of Urban Land in China Using Defense Meteorological Satellite Program's Operational Linescan System Nighttime Stable Light Data[J]. Journal of Applied Remote Sensing, 2013, 7(1): 73-86.
[40]
PANDEY B, JOSHI P K, SETO K C. Monitoring Urbanization Dynamics in India Using DMSP/OLS Night Time Lights and SPOT-VGT Data[J]. International Journal of Applied Earth Observation and Geoinformation, 2013, 23: 49-61.
[41]
ZHANG Q L, SETO K C. Mapping Urbanization Dynamics at Regional and Global Scales Using Multi-temporal DMSP/OLS Nighttime Light Data[J]. Remote Sensing of Environment, 2011, 115(9): 2320-2329.
[42]
LIU Z F, HE C Y, ZHANG Q F, et al. Extracting the Dynamics of Urban Expansion in China Using DMSP-OLS Nighttime Light Data from 1992 to 2008[J]. Landscape and Urban Planning, 2012, 106(1): 62-72.
[43]
ZHANG Q, SETO K C. Can Night-time Light Data Identify Typologies of Urbanization? A Global Assessment of Successes and Failures[J]. Remote Sensing, 2013, 5(7): 3476-3494.
[44]
PROPASTIN P, KAPPAS M. Assessing Satellite-observed Nighttime Lights for Monitoring Socioeconomic Parameters in the Republic of Kazakhstan[J]. GIScience & Remote Sensing, 2012, 49(4): 538-557.
[45]
LI X, CHEN X L, ZHAO Y S, et al. Automatic Intercalibration of Night-time Light Imagery Using Robust Regression[J]. Remote Sensing Letters, 2013, 4(1): 45-54.
[46]
YU B L, SHU S, LIU H X, et al. Object-based Spatial Cluster Analysis of Urban Landscape Pattern Using Nighttime Light Satellite Images: A Case Study of China[J]. International Journal of Geographical Information Science, 2014, 28(11): 2328-2355.
[47]
WEI Y, LIU H X, SONG W, et al. Normalization of Time Series DMSP-OLS Nighttime Light Images for Urban Growth Analysis with Pseudo Invariant Features[J]. Landscape and Urban Planning, 2014, 128: 1-13.
[48]
YI K P, TANI H, LI Q, et al. Mapping and Evaluating the Urbanization Process in Northeast China Using DMSP/OLS Nighttime Light Data[J]. Sensors, 2014, 14(2): 3207-3226.
[49]
LIAO Bing, WEI Kangxia, SONG Weiwei. Assessment and Application of DMSP/OLS Night-time Light Data in the Spatial Structure of Urban System: A Case of Jiangxi Province in Nearly 16 Years[J]. Resources and Environment in the Yangtze Basin, 2012, 21(11): 1295-1300.(廖兵, 魏康霞, 宋巍巍. DMSP/OLS夜间灯光数据在城镇体系空间格局研究中的应用与评价: 以近16年江西省间城镇空间格局为例[J]. 长江流域资源与环境, 2012, 21(11): 1295-1300.)
[50]
FAN Junfu, MA Ting, ZHOU Chenghu, et al. Changes in Spatial Patterns of Urban Landscape in Bohai Rim from 1992 to 2010 Using DMSP-OLS Data[J]. Journal of Geo-Information Science, 2013, 15(2): 280-288.(范俊甫, 马廷, 周成虎, 等. 1992-2010年基于DMSP-OLS图像的环渤海城市群空间格局变化分析[J]. 地球信息科学学报, 2013, 15(2): 280-288.)
[51]
XU Mengjie, CHEN Li, LIU Huanjin, et al. Pattern and Process of Urbanization in the Yangtze Delta Based on DMSP/OLS Data[J]. Remote Sensing for Land & Resources, 2011(3): 106-112.(徐梦洁, 陈黎, 刘焕金, 等. 基于DMSP/OLS夜间灯光数据的长江三角洲地区城市化格局与过程研究[J]. 国土资源遥感, 2011(3): 106-112.)
[52]
SMALL C, ELVIDGE C D. Night on Earth: Mapping Decadal Changes of Anthropogenic Night Light in Asia[J]. International Journal of Applied Earth Observation and Geoinformation, 2013, 22: 40-52.
[53]
WU Jiansheng, LIU Hao, PENG Jian, et al. Hierarchical Structure and Spatial Pattern of China's Urban System: Evidence from DMSP/OLS Nightlight Data[J]. Acta Geographica Sinica, 2014, 69(6): 759-770. (吴健生, 刘浩, 彭建, 等. 中国城市体系等级结构及其空间格局: 基于DMSP/OLS 夜间灯光数据的实证[J]. 地理学报, 2014, 69(6): 759-770.)
[54]
DE SOUZA FILHO C R, ZULLO Jr J, ELVIDGE C. Brazil's 2001 Energy Crisis Monitored from Space[J]. International Journal of Remote Sensing, 2004, 25(12): 2475-2482.
[55]
KOHIYAMA M, HAYASHI H, MAKI N, et al. Early Damaged Area Estimation System Using DMSP-OLS Night-time Imagery[J]. International Journal of Remote Sensing, 2004, 25(11): 2015-2036.
[56]
CAO C, SHAO X, UPRETY S, et al. Detecting Light Outages after Severe Storm Using the S-NPP/VIIRS Day/Night Band Radiances[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6): 1582-1586.
[57]
LI X, GE L L, CHEN X L. Detecting Zimbabwe's Decadal Economic Decline Using Nighttime Light Imagery[J]. Remote Sensing, 2013, 5(9): 4551-4570.
[58]
AGNEW J, GILLESPIE T W, GONZALEZ J, et al. Baghdad Nights: Evaluating the US Military 'Surge' Using Nighttime Light Signatures[J]. Environment and Planning A, 2008, 40(10): 2285-2295.
[59]
WITMER F D W, O'LOUGHLIN J. Detecting the Effects of Wars in the Caucasus Regions of Russia and Georgia Using Radiometrically Normalized DMSP-OLS Nighttime Lights Imagery[J]. GIScience & Remote Sensing, 2011, 48(4): 478-500.
[60]
LI X, CHEN F R, CHEN X L. Satellite-observed Nighttime Light Variation as Evidence for Global Armed Conflicts[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(5): 2302-2315.
[61]
LI X, LI D R. Can Night-time Light Images Play a Role in Evaluating the Syrian Crisis?[J]. International Journal of Remote Sensing, 2014, 35(18): 6648-6661.
[62]
IMHOFF M L, LAWRENCE W T, ELVIDGE C D, et al. Using Nighttime DMSP/OLS Images of City Lights to Estimate the Impact of Urban Land Use on Soil Resources in the United States[J]. Remote Sensing of Environment, 1997, 59(1): 105-117.
[63]
IMHOFF M L, TUCKER C J, LAWRENCE W T, et al. The Use of Multisource Satellite and Geospatial Data to Study the Effect of Urbanization on Primary Productivity in the United States[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(6): 2549-2556.
[64]
ZHAO N Z, CURRIT N, SAMSON E. Net Primary Production and Gross Domestic Product in China Derived from Satellite Imagery[J]. Ecological Economics, 2011, 70(5): 921-928.
[65]
RODRIGUES P, AUBRECHT C, GIL A, et al. Remote Sensing to Map Influence of Light Pollution on Cory's Shearwater in Sao Miguel Island, Azores Archipelago[J]. European Journal of Wildlife Research, 2012, 58(1): 147-155.
[66]
DWYER R G, BEARHOP S, CAMPBELL H A, et al. Shedding Light on Light: Benefits of Anthropogenic Illumination to a Nocturnally Foraging Shorebird[J]. Journal of Animal Ecology, 2013, 82(2): 478-485.
[67]
WALUDA C M, YAMASHIRO C, ELVIDGE C D, et al. Quantifying Light-fishing for Dosidicus Gigas in the Eastern Pacific Using Satellite Remote Sensing[J]. Remote Sensing of Environment, 2004, 91(2): 129-133.
[68]
WALUDA C M, GRIFFITHS H J, RODHOUSE P G. Remotely Sensed Spatial Dynamics of the Illex Argentinus Fishery, Southwest Atlantic[J]. Fisheries Research, 2008, 91(2-3): 196-202.
[69]
KIYOFUJI H, SAITOH S I. Use of Nighttime Visible Images to Detect Japanese Common Squid Todarodes Pacificus Fishing Areas and Potential Migration Routes in the Sea of Japan[J]. Marine Ecology Progress Series, 2004, 276: 173-186.
[70]
CHO K, ITO R, SHIMODA H, et al. Technical Note and Cover Fishing Fleet Lights and Sea Surface Temperature Distribution Observed by DMSP/OLS Sensor[J]. International Journal of Remote Sensing, 1999, 20(1): 3-9.
[71]
AUBRECHT C, ELVIDGE C D, LONGCORE T, et al. A Global Inventory of Coral Reef Stressors Based on Satellite Observed Nighttime Lights[J]. Geocarto International, 2008, 23(6): 467-479.
[72]
BHARTI N, TATEM A J, FERRARI M J, et al. Explaining Seasonal Fluctuations of Measles in Niger Using Nighttime Lights Imagery[J]. Science, 2011, 334(6061): 1424-1427.
[73]
ELVIDGE C D, ZISKIN D, BAUGH K E, et al. A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data[J]. Energies, 2009, 2(3): 595-622.
[74]
SCHUELER C F, LEE T F, MILLER S D. VIIRS Constant Spatial-resolution Advantages[J]. International Journal of Remote Sensing, 2013, 34(16): 5761-5777.
[75]
ELVIDGE C, ZHIZHIN M, HSU F C, et al. VIIRS Night Fire: Satellite Pyrometry at Night[J]. Remote Sensing, 2013, 5(9): 4423-4449.
[76]
LEVIN N, JOHANSEN K, HACKER J M, et al. A New Source for High Spatial Resolution Night Time Images—The EROS-B Commercial Satellite[J]. Remote Sensing of Environment, 2014, 149: 1-12.
[77]
TUTTLE B T. Aladdin's Magic Lamp: Developing Methods for Calibration and Geolocation Accuracy Assessment of the DMSP OLS[D]. Denver: University of Denver, 2012: 173-186.
[78]
COVA T J, SUTTON P C, THEOBALD D M. Exurban Change Detection in Fire-prone Areas with Nighttime Satellite Imagery[J]. Photogrammetric Engineering and Remote Sensing, 2004, 70(11): 1249-1257.
[79]
HE C Y, LIU Z F, TIAN J, et al. Urban Expansion Dynamics and Natural Habitat Loss in China: A Multiscale Landscape Perspective[J]. Global Change Biology, 2014, 20(9): 2886-2902.
[80]
KUECHLY H U, KYBA C C M, RUHTZ T, et al. Aerial Survey and Spatial Analysis of Sources of Light Pollution in Berlin, Germany[J]. Remote Sensing of Environment, 2012, 126: 39-50.
[81]
BENNIE J, DAVIES T W, DUFFY J P, et al. Contrasting Trends in Light Pollution Across Europe Based on Satellite Observed Night Time Lights[J]. Scientific Reports, 2014, 4. doi: 10.1038/srep03789.
[82]
KLOOG I, HAIM A, STEVENS R G, et al. Light at Night Co-distributes with Incident Breast but Not Lung Cancer in the Female Population of Israel[J]. Chronobiology International, 2008, 25(1): 65-81.
[83]
BAUER S E, WAGNER S E, BURCH J, et al. A Case-referent Study: Light at Night and Breast Cancer Risk in Georgia[J]. International Journal of Health Geographies, 2013, 12(1): 23.
[84]
KLOOG I, HAIM A, STEVENS R G, et al. Global Co-distribution of Light at Night (LAN) and Cancers of Prostate, Colon, and Lung in Men[J]. Chronobiology International, 2009, 26(1): 108-125.
[85]
VOLLMER C, MICHEL U, RANDLER C. Outdoor Light at Night (LAN) is Correlated with Eveningness in Adolescents[J]. Chronobiology International, 2012, 29(4): 502-508.
[86]
MAZOR T, LEVIN N, POSSINGHAM H P, et al. Can Satellite-based Night Lights Be Used for Conservation? The Case of Nesting Sea Turtles in the Mediterranean[J]. Biological Conservation, 2013, 159: 63-72.
[87]
CROFT T A. Nighttime Images of the Earth from Space[J]. Scientific American, 1978, 239(1): 86-98.
[88]
ELVIDGE C D, BAUGH K E, KINH E A, et al. Relation between Satellite Observed Visible-near Infrared Emissions, Population, Economic Activity and Electric Power Consumption[J]. International Journal of Remote Sensing, 1997, 18(6): 1373-1379.
[89]
DOLL C N H, MULLER J P, MORLEY J G. Mapping Regional Economic Activity from Night-time Light Satellite Imagery[J]. Ecological Economics, 2006, 57(1): 75-92.
