Open Access
E3S Web Conf.
Volume 99, 2019
Central Asian DUst Conference (CADUC 2019)
Article Number 01011
Number of page(s) 4
Section Atmospheric dust at source regions
Published online 18 June 2019
  1. L. Natsagdorj, D. Jugder, Y.S. Chung, “Analysis of dust storms observed in Mongolia during 1937-1999”, Atmospheric Environment, 37 (2003) [Google Scholar]
  2. J. Huang, T. Wang, W. Wang, Z. Li, H. Yan, “Climate effects of dust aerosols over East Asian arid and semiarid regions”, J. Geophys. Res. Atmos., 119 (2014) [Google Scholar]
  3. Y. Sofue, B. Hoshino, Y. Demura, K. Kai, K. Baba, E. Nduati, A. Kondoh, T. Sternberg, “Satellite Monitoring of Vegetation Response to Precipitation and Dust Storm Outbreaks in Gobi Desert Regions”, Land, 7 (2018) [Google Scholar]
  4. Y. Sofue, B. Hoshino, E. Nduati, A. Kondoh, K. Kai, T. Purevsuren, K. Baba, “Remote sensing methodology for detection of environmental regime shifts in semi-arid region”, In Proceedings of the 37th Geoscience and Remote Sensing Symposium, Fort Worth, TX, USA, 5113-5116 (2017) [Google Scholar]
  5. Y. Demura, B. Hoshino, K. Baba, C. McCarthy, Y. Sofue, K. Kai, T. Purevsuren, K. Hagiwara, J. Noda, “Determining the Frequency of Dry Lake Bed Formation in Semi-Arid Mongolia From Satellite Data”, Land, 6 (2017) [Google Scholar]
  6. Y. Demura, B. Hoshino, Y. Sofue, K. Kai, T. Purevsuren, K. Baba, J. Noda, “Estimates of ground surface characteristics for outbreaks of the Asian Dust Storms in the sources region”, ProScience, 3 (2016) [Google Scholar]
  7. J. Huang, T. Wang, W. Wang, Z. Li, H. Yan, “Accelerated dryland expansion under climate change”, Nat. Clim. Chang, 6 (2016) [Google Scholar]
  8. Y. Demura, B. Hoshino, Y. Sofue, K. Kenji et al., “Estimates of critical ground surface condition for Asian dust storm outbreak in Gobi desert region based on remotely sensed data,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 1 (2015) [Google Scholar]
  9. L. Ashton, K. Lau, C. L. Winder, R. Goodacre, “Raman spectroscopy: lighting up the future of microbial identification”, Future Microbiol., 6(2011) [Google Scholar]

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