Displaying 1 - 10 of 10
Operations
Diniz, Cesar; Cortinhas, Luiz; Nerino, Gilberto; Rodrigues, Jhonatan; Sadeck, Luís; Adami, Marcos; Souza-Filho, Pedro Walfir M. 2019. Brazilian mangrove status: Three decades of satellite data analysis. [Remote Sensing] . 11(7): 808 DOI: https://doi.org/10.3390/rs11070808
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Journal Article)
export
Gandhi, Samir; Jones, Trevor Gareth. 2019. Identifying mangrove deforestation hotspots in South Asia, Southeast Asia and Asia-Pacific. [Remote Sensing] . 11(6): 728 DOI: https://doi.org/10.3390/rs11060728
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(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
Maier, Stephanie D.; Lindner, Jan Paul; Francisco, Javier. 2019. Conceptual framework for biodiversity assessments in global value chains. [Sustainability] . 11(7): 1841 DOI: https://doi.org/10.3390/su11071841
SEDAC Data Collection(s):
ferman-v1
lulc
ulandsat
(Journal Article)
export
Moity, Nicolas; Delgado, Byron; Salinas-de-León, Pelayo. 2019. Mangroves in the Galapagos islands: Distribution and dynamics. [PLOS ONE] . 14(1): e0209313 DOI: https://doi.org/10.1371/journal.pone.0209313
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Journal Article)
export
Monsarrat, Sophie; Jarvie, Scott; Svenning, Jens-Christian. 2019. Anthropocene refugia: integrating history and predictive modelling to assess the space available for biodiversity in a human-dominated world. [Philosophical Transactions of the Royal Society B: Biological Sciences] . 374(1788): 20190219 DOI: https://doi.org/10.1098/rstb.2019.0219
SEDAC Data Collection(s):
lulc
(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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