Displaying 1 - 10 of 40
Operations
Alexander, P. J.; Bechtel, B.; Chow, W. T. L.; Fealy, R.; Mills, G. 2016. Linking urban climate classification with an urban energy and water budget model: Multi-site and multi-seasonal evaluation. [Urban Climate] . 17: 196-215 DOI: https://doi.org/10.1016/j.uclim.2016.08.003
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Bharti, Nita; Djibo, Ali; Tatem, Andrew J.; Grenfell, Bryan T.; Ferrari, Matthew J. 2016. Measuring populations to improve vaccination coverage. [Scientific Reports] . 5(34541): 10 pp. DOI: https://doi.org/10.1038/srep34541
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Goldblatt, Ran; You, Wei; Hanson, Gordon; Khandelwal, Amit. 2016. Detecting the boundaries of urban areas in India: A dataset for pixel-based image classification in Google Earth Engine. [Remote Sensing] . 8(8): 28 pp. DOI: https://doi.org/10.3390/rs8080634
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Hudson, Paul; Botzen, W. J. Wouter; Feyen, Luc; Aerts, Jeroen C. J. H. 2016. Incentivising flood risk adaptation through risk based insurance premiums: Trade-offs between affordability and risk reduction. [Ecological Economics] . 125: 1-13 DOI: https://doi.org/10.1016/j.ecolecon.2016.01.015
SEDAC Data Collection(s):
sdp
(Journal Article)
export
Kinyoki, Damaris K; Kandala, Ngianga-Bakwin; Manda, Samuel O; Krainski, Elias T; Fuglstad, Geir-Arne; Moloney, Grainne M; Berkley, James A; Noor, Abdisalan M. 2016. Assessing comorbidity and correlates of wasting and stunting among children in Somalia using cross-sectional household surveys: 2007 to 2010. [BMJ Open] . 6(3): 9 pp. DOI: https://doi.org/10.1136/bmjopen-2015-009854
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Kinyoki, Damaris K.; Berkley, James A.; Moloney, Grainne M.; Odundo, Elijah O.; Kandala, Ngianga-Bakwin; Noor, Abdisalan M. 2016. Space-time mapping of wasting among children under the age of five years in Somalia from 2007 to 2010. [Spatial and Spatio-temporal Epidemiology] . 16: 77-87 DOI: https://doi.org/10.1016/j.sste.2015.12.002
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Klotz, M.; Kemper, T.; Geiß, C.; Esch, T.; Taubenböck, H. 2016. How good is the map? A multi-scale cross-comparison framework for global settlement layers: Evidence from Central Europe. [Remote Sensing of Environment] . 178: 191-212 DOI: https://doi.org/10.1016/j.rse.2016.03.001
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Li, Xin-Xu; Ren, Zhou-Peng; Wang, Li-Xia; Zhang, Hui; Jiang, Shi-Wen; Chen, Jia-Xu; Wang, Jin-Feng; Zhou, Xiao-Nong. 2016. Co-endemicity of pulmonary tuberculosis and intestinal helminth infection in the People’s Republic of China. [PLOS Neglected Tropical Diseases] . 10(4): e0004580 DOI: https://doi.org/10.1371/journal.pntd.0004580
SEDAC Data Collection(s):
grump-v1
sdei
(Journal Article)
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
McDonald, Robert I.; Weber, Katherine F.; Padowski, Julie; Boucher, Tim; Shemie, Daniel. 2016. Estimating watershed degradation over the last century and its impact on water-treatment costs for the world’s large cities. [Proceedings of the National Academy of Sciences] . 113(32): 9117-9122 DOI: https://doi.org/10.1073/pnas.1605354113
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export

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