Displaying 71 - 80 of 134
Operations
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
Zhao, Hujia; Gui, Ke; Ma, Yanjun; Wang, Yangfeng; Wang, Yaqiang; Wang, Hong; Zheng, Yu; Li, Lei; Zhang, Lei; Che, Huizheng; Zhang, Xiaoye. 2021. Climatology and trends of aerosol optical depth with different particle size and shape in Northeast China from 2001 to 2018. [Science of The Total Environment] . 763: 142979 DOI: https://doi.org/10.1016/j.scitotenv.2020.142979
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Aeby, Greta S.; Williams, Gareth J.; Franklin, Erik C.; Haapkyla, Jessica; Harvell, C. Drew; Neale, Stephen; Page, Cathie A.; Raymundo, Laurie; Vargas-Ángel, Bernardo; Willis, Bette L.; Work, Thierry M.; Davy, Simon K. 2011. Growth anomalies on the coral genera Acropora and Porites are strongly associated with host density and human population size across the Indo-Pacific. [PLoS ONE] . 6(2): e16887 DOI: https://doi.org/10.1371/journal.pone.0016887
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export

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