Displaying 1 - 10 of 49
Operations
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
Abdul Shakor, Ameerah Su’ad; Pahrol, Muhammad Alfatih; Mazeli, Mohamad Iqbal. 2020. Effects of population weighting on PM10 concentration estimation. [Journal of Environmental and Public Health] . 2020: 1561823 DOI: https://doi.org/10.1155/2020/1561823
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Akpoti, Komlavi; Kabo-bah, Amos T.; Dossou-Yovo, Elliott R.; Groen, Thomas A.; Zwart, Sander J. 2020. Mapping suitability for rice production in inland valley landscapes in Benin and Togo using environmental niche modeling. [Science of The Total Environment] . 709: 136165 DOI: https://doi.org/10.1016/j.scitotenv.2019.136165
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Baker, Rachel E.; Yang, Wenchang; Vecchi, Gabriel A.; Metcalf, C. Jessica E.; Grenfell, Bryan T. 2020. Susceptible supply limits the role of climate in the early SARS-CoV-2 pandemic. [Science] . 369(6501): 315-319 DOI: https://doi.org/10.1126/science.abc2535
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
Baragwanath, Kathryn; Bayi, Ella. 2020. Collective property rights reduce deforestation in the Brazilian Amazon. [Proceedings of the National Academy of Sciences] . 117(34): 20495-20502 DOI: https://doi.org/10.1073/pnas.1917874117
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, Aifang. 2020. Tropical Cyclone Induced Extreme Wind, Rainfall, and Floods in the Mekong River Basin. [Department of Earth Sciences] Chen, Deliang. Ph.D.: 50
Related URL(s): http://hdl.handle.net/2077/64068
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Thesis)
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
Chen, Qi-Xiang; Huang, Chun-Lin; Yuan, Yuan; Mao, Qian-Jun; Tan, He-Ping. 2020. Spatiotemporal distribution of major aerosol types over China based on MODIS products between 2008 and 2017. [Atmosphere] . 11(7): 703 DOI: https://doi.org/10.3390/atmos11070703
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export

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