Displaying 1 - 4 of 4
Operations
Lin, Li; Di, Liping; Yang, Ruixin; Zhang, Chen; Yu, Eugene; Rahman, Md. Shahinoor; Sun, Ziheng; Tang, Junmei. 2018. Using machine learning approach to evaluate the PM2.5 concentrations in China from 1998 to 2016. [7th International Conference on Agro-geoinformatics] pp: 1-5 DOI: https://doi.org/10.1109/Agro-Geoinformatics.2018.8475987
SEDAC Data Collection(s):
sdei
(Conference Proceedings)
export
Mukherjee, Anondo Dehan. 2018. Examining Aerosol Properties and Their Impacts to Visibility Utilizing Particulate Monitor and Sensor Measurements. [Department of Atmospheric and Oceanic Sciences] Friedrich, Katja; Pilewskie, Peter. Ph.D.: 175
Related URL(s): https://search.proquest.com/docview/2048322168
SEDAC Data Collection(s):
sdei
(Thesis)
export
Mao, Zhimin. 2016. Turning Policy Promises into Blue Skies: Mixed-Method Assessment of China's Past and Future Air Pollution–Reduction Efforts. [Pardee RAND Graduate School] Knopman, Debra. Ph.D.(RGSD-385): 147 DOI: https://doi.org/10.7249/RGSD385
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Thesis)
export
Liu, Chaoshun; Shen, Xianxia; Gao, Wei; Liu, Pudong; Sun, Zhibin. 2014. Evaluation of CALIPSO aerosol optical depth using AERONET and MODIS data over China. 9221: 92210F-92210F-13 DOI: https://doi.org/10.1117/12.2058929
SEDAC Data Collection(s):
sdei
(Conference Proceedings)
export
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