Displaying 1 - 10 of 24
Operations
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
Lebreton, Laurent; Egger, Matthias; Slat, Boyan. 2019. A global mass budget for positively buoyant macroplastic debris in the ocean. [Scientific Reports] . 9(1): 12922 DOI: https://doi.org/10.1038/s41598-019-49413-5
SEDAC Data Collection(s):
sdp
(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
Thomas, Timothy S.; You, Liangzhi; Wood-Sichra, Ulrike; Ru, Yating; Blankenspoor, Brian; Kalvelagen, Erwin. 2019. Generating Gridded Agricultural Gross Domestic Product for Brazil: A Comparison of Methodologies. [World Bank Policy Research Working Paper] World Bank. 8985: 18
Related URL(s): http://documents.worldbank.org/curated/en/677071566217273585/Generating-Gridded-…
SEDAC Data Collection(s):
gpw-v4
sdp
(Report)
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
Dmowska, Anna; Stepinski, Tomasz F. 2017. A high resolution population grid for the conterminous United States: The 2010 edition. [Computers, Environment and Urban Systems] . 61, Part A: 13-23 DOI: https://doi.org/10.1016/j.compenvurbsys.2016.08.006
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Dmowska, Anna; Stepinski, Tomasz F.; Netzel, Pawel. 2017. Comprehensive framework for visualizing and analyzing spatio-temporal dynamics of racial diversity in the entire United States. [PLOS ONE] . 12(3): e0174993 DOI: https://doi.org/10.1371/journal.pone.0174993
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Leasure, Douglas R.; Hoback, W. Wyatt. 2017. Distribution and habitat of endangered American burying beetle in northern and southern regions. [Journal of Insect Conservation] . 21(1): 75-86 DOI: https://doi.org/10.1007/s10841-017-9955-5
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export

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