Displaying 71 - 80 of 82
Operations
Wei, Shan; Lin, Yinyi; Zhang, Hongsheng; Wan, Luoma; Lin, Hui; Wu, Zhifeng. 2021. Estimating Chinese residential populations from analysis of impervious surfaces derived from satellite images. [International Journal of Remote Sensing] . 42(6): 2303-2326 DOI: https://doi.org/10.1080/01431161.2020.1841322
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Wu, Yangyang; Di, Baofeng; Luo, Yuzhou; Grieneisen, Michael L.; Zeng, Wen; Zhang, Shifu; Deng, Xunfei; Tang, Yulei; Shi, Guangming; Yang, Fumo; Zhan, Yu. 2021. A robust approach to deriving long-term daily surface NO2 levels across China: Correction to substantial estimation bias in back-extrapolation. [Environment International] . 154: 106576 DOI: https://doi.org/10.1016/j.envint.2021.106576
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Xia, Nan; Li, Manchun; Cheng, Liang. 2021. Mapping impacts of human activities from nighttime light on vegetation cover changes in Southeast Asia. [Land] . 10(2): 185 DOI: https://doi.org/10.3390/land10020185
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Xiao, Qingyang; Liang, Fengchao; Ning, Miao; Zhang, Qiang; Bi, Jianzhao; He, Kebin; Lei, Yu; Liu, Yang. 2021. The long-term trend of PM2.5-related mortality in China: The effects of source data selection. [Chemosphere] . 263: 127894 DOI: https://doi.org/10.1016/j.chemosphere.2020.127894
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Xu, Ru. 2021. Mapping rural settlements from Landsat and Sentinel time series by integrating pixel- and object-based methods. [Land] . 10(3): 244 DOI: https://doi.org/10.3390/land10030244
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Yang, Lin; Shen, Feixue; Zhang, Lei; Cai, Yanyan; Yi, Fangxin; Zhou, Chenghu. 2021. Quantifying influences of natural and anthropogenic factors on vegetation changes using structural equation modeling: A case study in Jiangsu Province, China. [Journal of Cleaner Production] . 280: 124330 DOI: https://doi.org/10.1016/j.jclepro.2020.124330
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Yao, Jiaxiong. 2021. Electricity Consumption and Temperature: Evidence from Satellite Data. [IMF Working Paper No. 2021/022] pp: 38
Related URL(s): https://www.imf.org/en/Publications/WP/Issues/2021/02/05/Electricity-Consumption…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Report)
export
Yarragunta, Yesobu; Srivastava, Shuchita; Mitra, Debashis; Chandola, Harish Chandra. 2021. Source apportionment of carbon monoxide over India: a quantitative analysis using MOZART-4. [Environmental Science and Pollution Research] . 28: 8722-8742 DOI: https://doi.org/10.1007/s11356-020-11099-y
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Yu, Bowei; Cui, Baoshan; Zang, Yongge; Wu, Chunsheng; Zhao, Zhonghe; Wang, Youxiao. 2021. Long-term dynamics of different surface water body types and their possible driving factors in China. [Remote Sensing] . 13(6): 1154 DOI: https://doi.org/10.3390/rs13061154
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Zhang, Wenting; Li, Bo. 2021. Research on an analytical framework for urban spatial structural and functional optimisation: A case study of Beijing City, China. [Land] . 10(1): 86 DOI: https://doi.org/10.3390/land10010086
Uses Remote Sensing: yes
SEDAC Data Collection(s):
groads
(Journal Article)
export

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