Spatiotemporal Variations in Energy Consumption and Their Influencing Factors in China Based on the Integration of the DMSP-OLS and NPP-VIIRS Nighttime Light Datasets.
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%0 Journal Article
%1 journals/remotesensing/YueTYW20
%A Yue, Yanlin
%A Tian, Li
%A Yue, Qun
%A Wang, Zheng
%D 2020
%J Remote Sensing
%K dblp
%N 7
%P 1151
%T Spatiotemporal Variations in Energy Consumption and Their Influencing Factors in China Based on the Integration of the DMSP-OLS and NPP-VIIRS Nighttime Light Datasets.
%U http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing12.html#YueTYW20
%V 12
@article{journals/remotesensing/YueTYW20,
added-at = {2020-05-01T00:00:00.000+0200},
author = {Yue, Yanlin and Tian, Li and Yue, Qun and Wang, Zheng},
biburl = {https://www.bibsonomy.org/bibtex/26ca9a347f0f6469c7c5cb50c0ee7bbfb/dblp},
ee = {https://doi.org/10.3390/rs12071151},
interhash = {1d6e676adaa7e96dde2a083138d205b4},
intrahash = {6ca9a347f0f6469c7c5cb50c0ee7bbfb},
journal = {Remote Sensing},
keywords = {dblp},
number = 7,
pages = 1151,
timestamp = {2020-05-02T11:38:18.000+0200},
title = {Spatiotemporal Variations in Energy Consumption and Their Influencing Factors in China Based on the Integration of the DMSP-OLS and NPP-VIIRS Nighttime Light Datasets.},
url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing12.html#YueTYW20},
volume = 12,
year = 2020
}
