[1]
|
Elvidge, C.D., Baugh, K.E., Kihn, E.A., Kroehl, H.W., Davis, E.R. and Davis. C.W. (1997) Relation between Satellite Observed Visible-Near Infrared Emissions, Population, Economic Activity and Electric Power Consumption. International Journal of Remote Sensing, 18, 1373-1379. https://doi.org/10.1080/014311697218485
|
[2]
|
Sutton, P. (1997) Modeling Population Density with Night-Time Satellite Imagery and GIS. Computers, Environment and Urban Systems, 21, 227-244. https://doi.org/10.1016/S0198-9715(97)01005-3
|
[3]
|
Propastin, P. and Kappas, M. (2012) Assessing Satellite-Observed Nighttime Lights for Monitoring Socioeconomic Parameters in the Republic of Kazakhstan. GIScience & Remote Sensing, 49, 538-557.
https://doi.org/10.2747/1548-1603.49.4.538
|
[4]
|
Doll, C.N.H., Muller, J.P. and Elvidge, C.D. (2000) Night-Time Imagery as a Tool for Global Mapping of Socioeconomic Parameters and Greenhouse Gas Emissions. AMBIO: A Journal of the Human Environment, 29, 157-162.
|
[5]
|
Zhou, L., Ichinose, T., Zheng, J., Chen, J., Shi, P.J. and Li, X. (2009) Modelling the Population Density of China at the Pixel Level Based on DMSP/OLS Non-Radiance-Calibrated Night-Time Light Images. International Journal of Remote Sensing, 30, 1003-1018. https://doi.org/10.1080/01431160802430693
|
[6]
|
王晓慧. 基于DMSP/OLS夜间灯光数据的中国近30年城镇扩展研究[D]: [硕士学位论文]. 南京: 南京大学, 2010.
|
[7]
|
Yuyu. Z., Smith, S.C., Elvidge, K., Zhao, A. Thomson, A. and Imhoff, M. (2014) A Cluster-Based Method to Map Urban Area from DMSP/OLS Nightlights. Remote Sensing of Environment, 147, 173-185.
https://doi.org/10.1016/j.rse.2014.03.004
|
[8]
|
Elvidge, C.D., Ziskin, D., Baugh, K.E., Tuttle, B.T., Ghosh, T., Pack, D.W., Erwin, E.H. and Zhizhin, M. (2009) A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data. Energies, 3, 595-622.
https://doi.org/10.3390/en20300595
|
[9]
|
Liu, Z., He, C., Zhang, Q., Huang, Q. and Yang, Y. (2012) Extracting the Dynamics of Urban Expansion in China Using DMSP-OLS Nighttime Light Data from 1992 to 2008. Landscape Urban Plan, 106, 62-72.
https://doi.org/10.1016/j.landurbplan.2012.02.013
|