Displaying 1 - 10 of 135
Operations
Bussi, Gianbattista; Whitehead, Paul G.; Jin, Li; Taye, Meron T.; Dyer, Ellen; Hirpa, Feyera A.; Yimer, Yosef Abebe; Charles, Katrina J. 2021. Impacts of climate change and population growth on river nutrient loads in a data scarce region: The Upper Awash River (Ethiopia). [Sustainability] . 13(3): 1254 DOI: https://doi.org/10.3390/su13031254
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Fälth, H. Ek; Atsmon, D.; Reichenberg, L.; Verendel, V. 2021. MENA compared to Europe: The influence of land use, nuclear power, and transmission expansion on renewable electricity system costs. [Energy Strategy Reviews] . 33: 100590 DOI: https://doi.org/10.1016/j.esr.2020.100590
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Hu, Yibo; Fan, Huizhong; Chen, Youhua; Chang, Jiang; Zhan, Xiangjiang; Wu, Hua; Zhang, Baowei; Wang, Meng; Zhang, Wenyan; Yang, Lin; Hou, Xian; Shen, Xing; Pan, Tao; Wu, Wei; Li, Jun; Hu, Haihua; Wei, Fuwen. 2021. Spatial patterns and conservation of genetic and phylogenetic diversity of wildlife in China. [Science Advances] . 7(4): eabd5725 DOI: https://doi.org/10.1126/sciadv.abd5725
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Sannigrahi, Srikanta; Kumar, Prashant; Molter, Anna; Zhang, Qi; Basu, Bidroha; Basu, Arunima Sarkar; Pilla, Francesco. 2021. Examining the status of improved air quality in world cities due to COVID-19 led temporary reduction in anthropogenic emissions. [Environmental Research] . 196: 110927 DOI: https://doi.org/10.1016/j.envres.2021.110927
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(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
Abatzoglou, John T.; Smith, Craig, M.; Swain. Daniel, L.; Ptak, Thomas,; Kolden, Crystal A. 2020. Population exposure to pre-emptive de-energization aimed at averting wildfires in Northern California. [Environmental Research Letters] . 15(9): 094046 DOI: https://doi.org/10.1088/1748-9326/aba135
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Ballesteros-González, Karen; Sullivan, Amy P.; Morales-Betancourt, Ricardo. 2020. Estimating the air quality and health impacts of biomass burning in northern South America using a chemical transport model. [Science of The Total Environment] . 739: 139755 DOI: https://doi.org/10.1016/j.scitotenv.2020.139755
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Barad, Richard; Fletcher, Erin K.; Hillbruner, Chris. 2020. Leveraging existing household survey data to map livelihoods in Nigeria. [World Development] . 126: 104727 DOI: https://doi.org/10.1016/j.worlddev.2019.104727
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Boyle, Elizabeth Heger; King, Miriam L.; Garcia, Sarah; Culver, Corey; Bourdeaux, Jordan. 2020. Contextual data in IPUMS DHS: physical and social environment variables linked to the Demographic and Health Surveys. [Population and Environment] . 41: 529-549 DOI: https://doi.org/10.1007/s11111-020-00348-4
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Chen, Lingling; Wu, Zhifeng; Tu, Wei; Cao, Zheng. 2020. Applying LUR model to estimate spatial variation of PM2.5 in the Greater Bay Area, China. [Spatiotemporal Analysis of Air Pollution and Its Application in Public Health] Ed(s): Li, Lixin; Zhou, Xiaolu; Tong, Weitian. pp: 207-215
Related URL(s): https://www.elsevier.com/books/spatiotemporal-analysis-of-air-pollution-and-its-…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Book Section)
export

Pages

Export results as CSVXML