Displaying 1 - 10 of 62
Operations
Gupta, Diksha; Dhanya, C. T. 2021. Quantifying the effect of GRACE terrestrial water storage anomaly in the simulation of extreme flows. [Journal of Hydrologic Engineering] . 26(4): 04021007 DOI: https://doi.org/10.1061/(ASCE)HE.1943-5584.0002072
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Hermoso, Virgilio; Filipe, Ana Filipa. 2021. Offsetting connectivity loss in rivers: Towards a no-net-loss approach for barrier planning. [Biological Conservation] . 256: 109043 DOI: https://doi.org/10.1016/j.biocon.2021.109043
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Li, Yao; Zhao, Gang; Shah, Deep; Zhao, Maosheng; Sarkar, Sudipta; Devadiga, Sadashiva; Zhao, Bingjie; Zhang, Shuai; Gao, Huilin. 2021. NASA’s MODIS/VIIRS Global Water Reservoir product suite from moderate resolution remote sensing data. [Remote Sensing] . 13(4): 565 DOI: https://doi.org/10.3390/rs13040565
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Mirza, M. Usman; Xu, Chi; Bavel, Bas van; van Nes, Egbert H.; Scheffer, Marten. 2021. Global inequality remotely sensed. [Proceedings of the National Academy of Sciences] . 118(18): e1919913118 DOI: https://doi.org/10.1073/pnas.1919913118
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Mukherjee, Abhijit; Sarkar, Soumyajit; Chakraborty, Madhumita; Duttagupta, Srimanti; Bhattacharya, Animesh; Saha, Dipankar; Bhattacharya, Prosun; Mitra, Adway; Gupta, Saibal. 2021. Occurrence, predictors and hazards of elevated groundwater arsenic across India through field observations and regional-scale modeling. [Science of The Total Environment] . 759: 143511 DOI: https://doi.org/10.1016/j.scitotenv.2020.143511
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Nakayama, Tadanobu; Wang, Qinxue; Okadera, Tomohiro. 2021. Evaluation of spatio-temporal variations in water availability using a process-based eco-hydrology model in arid and semi-arid regions of Mongolia. [Ecological Modelling] . 440: 109404 DOI: https://doi.org/10.1016/j.ecolmodel.2020.109404
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Park, Hayoung; Jeong, Sujong; Park, Hoonyoung; Labzovskii, Lev D.; Bowman, Kevin W. 2021. An assessment of emission characteristics of Northern Hemisphere cities using spaceborne observations of CO2, CO, and NO2. [Remote Sensing of Environment] . 254: 112246 DOI: https://doi.org/10.1016/j.rse.2020.112246
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Shen, Ju; Du, Shiqiang; Ma, Qun; Huang, Qingxu; Wen, Jiahong; Yin, Zhan'e; Gao, Jun. 2021. A new multiple return-period framework of flood regulation service—applied in Yangtze River basin. [Ecological Indicators] . 125: 107441 DOI: https://doi.org/10.1016/j.ecolind.2021.107441
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Vohra, Karn; Vodonos, Alina; Schwartz, Joel; Marais, Eloise A.; Sulprizio, Melissa P.; Mickley, Loretta J. 2021. Global mortality from outdoor fine particle pollution generated by fossil fuel combustion: Results from GEOS-Chem. [Environmental Research] . 195: 110754 DOI: https://doi.org/10.1016/j.envres.2021.110754
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Wu, Wenjing; Yao, Minghong; Yang, Xiaocui; Hopke, Philip K.; Choi, Hyunok; Qiao, Xue; Zhao, Xing; Zhang, Juying. 2021. Mortality burden attributable to long-term ambient PM2.5 exposure in China: Using novel exposure-response functions with multiple exposure windows. [Atmospheric Environment] . 246: 118098 DOI: https://doi.org/10.1016/j.atmosenv.2020.118098
SEDAC Data Collection(s):
gpw-v4
sdei
(Journal Article)
export

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