Displaying 1 - 9 of 9
Operations
Gao, Xueyuan; Liang, Shunlin; He, Bin. 2019. Detected global agricultural greening from satellite data. [Agricultural and Forest Meteorology] . 276-277: 107652 DOI: https://doi.org/10.1016/j.agrformet.2019.107652
Uses Remote Sensing: yes
SEDAC Data Collection(s):
india
(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
Nair, Akhilesh S.; Indu, J. 2019. Improvement of land surface model simulations over India via data assimilation of satellite-based soil moisture products. [Journal of Hydrology] . 573: 406-421 DOI: https://doi.org/10.1016/j.jhydrol.2019.03.088
Uses Remote Sensing: yes
SEDAC Data Collection(s):
india
(Journal Article)
export
Onda, Kyle; Sinha, Parmanand; Gaughan, Andrea E.; Stevens, Forrest R.; Kaza, Nikhil. 2019. Missing millions: undercounting urbanization in India. [Population and Environment] . 41(2): 126-150 DOI: https://doi.org/10.1007/s11111-019-00329-2
Uses Remote Sensing: yes
SEDAC Data Collection(s):
india
(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
Dutko, Paul; Ver Ploeg, Michele; Farrigan, Tracey. 2012. Characteristics and influential factors of food deserts. [Economic Research Report] USDA. ERR-140(ERR-140): 30
Related URL(s): http://www.caction.org/CAN-Research/Reports/2012/err140.pdf
SEDAC Data Collection(s):
usgrid
(Report)
export
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