Displaying 1 - 7 of 7
Operations
Eneanya, Obiora A.; Koudou, Benjamin G.; Aboulaye, Meite; Elvis, Aba Ange; Souleymane, Yeo; Kouakou, Marie-Madeleine; Weil, Gary J.; Fischer, Peter U. 2021. Progress towards onchocerciasis elimination in Côte d’Ivoire: A geospatial modelling study. [PLOS Neglected Tropical Diseases] . 15(2): e0009091 DOI: https://doi.org/10.1371/journal.pntd.0009091
Uses Remote Sensing: yes
SEDAC Data Collection(s):
wacvm
(Journal Article)
export
Marlon, Jennifer R.; Wang, Xinran; Mildenberger, Matto; Bergquist, Parrish; Swain, Sharmistha; Hayhoe, Katharine; Howe, Peter D.; Maibach, Edward; Leiserowitz, Anthony. 2021. Hot dry days increase perceived experience with global warming. [Global Environmental Change] . 68: 102247
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Hulley, Glynn; Shivers, Sarah; Wetherley, Erin; Cudd, Robert. 2019. New ECOSTRESS and MODIS land surface temperature data reveal fine-scale heat vulnerability in cities: A case study for Los Angeles County, California. [Remote Sensing] . 11(18): 2136 DOI: https://doi.org/10.3390/rs11182136
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Ju, Yang; Lindbergh, Sarah; He, Yiyi; Radke, John D. 2019. Climate-related uncertainties in urban exposure to sea level rise and storm surge flooding: a multi-temporal and multi-scenario analysis. [Cities] . 92: 230-246 DOI: https://doi.org/10.1016/j.cities.2019.04.002
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Myer, Mark H.; Johnston, John M. 2019. Spatiotemporal Bayesian modeling of West Nile virus: Identifying risk of infection in mosquitoes with local-scale predictors. [Science of The Total Environment] . 650: 2818-2829 DOI: https://doi.org/10.1016/j.scitotenv.2018.09.397
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Potvin, Corey K.; Broyles, Chris; Skinner, Patrick S.; Brooks, Harold E.; Rasmussen, Erik. 2019. A Bayesian hierarchical modeling framework for correcting reporting bias in the U.S. tornado database. [Weather and Forecasting] . 34(1): 15-30 DOI: https://doi.org/10.1175/waf-d-18-0137.1
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Zou, Yufei; O’Neill, Susan M.; Larkin, Narasimhan K.; Alvarado, Ernesto C.; Solomon, Robert; Mass, Clifford; Liu, Yang; Odman, M. Talat; Shen, Huizhong. 2019. Machine learning-based integration of high-resolution wildfire smoke simulations and observations for regional health impact assessment. [International Journal of Environmental Research and Public Health] . 16(12): 2137 DOI: https://doi.org/10.3390/ijerph16122137
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
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