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Han, Weihong; Tong, Ling; Wen, Jiang. 2020. Long-term spatiotemporal trend analysis (1998–2016) of PM2.5 in China using satellite product. [IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium] pp: 5562-5565 DOI: https://doi.org/10.1109/IGARSS39084.2020.9323725
SEDAC Data Collection(s):
sdei
(Conference Proceedings)
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Kincaid, Jordan Michael. 2019. Help or High Water: On the Moral Entitlements of and State Responsibilities to Climate Refugees. [Environmental Studies] Hale, Benjamin S. Ph.D.: 141
Related URL(s): http://tinyurl.com/y6j46pb2
SEDAC Data Collection(s):
lecz
(Thesis)
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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)
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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)
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Hatzikyriakou, Adam. 2017. Vulnerability and Hazard Modeling for Coastal Flooding due to Storm Surge. [Civil and Environmental Engineering] Lin, Ning. Ph.D.: 182
Related URL(s): https://search.proquest.com/docview/1925511202/
SEDAC Data Collection(s):
lecz
(Thesis)
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