Displaying 1 - 7 of 7
Operations
Mao, Zhimin. 2016. Turning Policy Promises into Blue Skies: Mixed-Method Assessment of China's Past and Future Air Pollution–Reduction Efforts. [Pardee RAND Graduate School] Knopman, Debra. Ph.D.(RGSD-385): 147 DOI: https://doi.org/10.7249/RGSD385
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Thesis)
export
Marlier, Miriam E.; Jina, Amir S.; Kinney, Patrick L.; DeFries, Ruth S. 2016. Extreme air pollution in global megacities. [Current Climate Change Reports] . 2(1): 15-27 DOI: https://doi.org/10.1007/s40641-016-0032-z
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
sdei
(Journal Article)
export
Mogollón, Beatriz; Frimpong, Emmanuel A.; Hoegh, Andrew B.; Angermeier, Paul L. 2016. Recent changes in stream flashiness and flooding, and effects of flood management in North Carolina and Virginia. [JAWRA Journal of the American Water Resources Association] . 52(3): 561-577 DOI: https://doi.org/10.1111/1752-1688.12408
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Politi, Eirini; Rowan, John S.; Cutler, Mark E. J. 2016. Assessing the utility of geospatial technologies to investigate environmental change within lake systems. [Science of The Total Environment] . 543(Part A): 791-806 DOI: https://doi.org/10.1016/j.scitotenv.2015.09.136
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grand-v1
groads
(Journal Article)
export
van Bemmelen, C. W. T.; Mann, M.; de Ridder, M. P.; Rutten, M. M.; van de Giesen, N. C. 2016. Determining water reservoir characteristics with global elevation data. [Geophysical Research Letters] . 43(21): 11278-11286 DOI: https://doi.org/10.1002/2016GL069816
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Herold, Christian; Rudari, Roberto. 2013. Improvement of the Global Flood Model for the GAR 2013 and 2015: Background Paper prepared for the Global Assessment Report on Disaster Risk Reduction 2013. UNISDR: The United Nations Office for Disaster Risk Reduction. pp: 43
Related URL(s): http://www.preventionweb.net/english/hyogo/gar/2013/en/bgdocs/Herold%20and%20Rud…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Report)
export
Lin, Gang; Fu, Jingying; Jiang, Dong; Hu, Wensheng; Dong, Donglin; Huang, Yaohuan; Zhao, Mingdong. 2013. Spatio-temporal variation of PM2.5 concentrations and their relationship with geographic and socioeconomic factors in China. [International Journal of Environmental Research and Public Health] . 11(1): 173-186 DOI: https://doi.org/10.3390/ijerph110100173
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Journal Article)
export
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