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CARIN Research Webinar Series for Spring 2024 (Fridays for 1 hour starting at 0800 ET)

CARIN Research Webinar Series for Spring 2024 (Fridays for 1 hour starting at 0800 ET)

The CARIN Research Webinar series features two 20-minute talks by researchers working on Central Asian environmental questions, broadly understood. Invitations are sent out via the CARIN listserv and the LCLUC mailing list to register for the Zoom-based webinar. There will be three webinars this spring:

02FEB24: (i) Dr. Sanzhar Imashev (Laboratory of Complex Research of Driving Processes in Geophysical Fields of the Research Station of the RAS, KG); and (ii) Prof. Wei Fang (Pace University, US)

Central Asia Regional Information Network Meeting, 13-17 September 2023, Issyk Kul, Kyrgyzstan.

Central Asia Regional Information Network Meeting, 13-17 September 2023, Issyk Kul, Kyrgyzstan.

The Central Asia Regional Information Network (CARIN; https://centralasiarin.net) meeting took place 13-17 September 2023 on the shores of Issyk Kul in eastern Kyrgyzstan. The keynote address “Operational Remote Sensing of Evapotranspiration for Central Asia“ was delivered by Dr. Gabriel Senay (USGS/EROS). The meeting featured presentations by many LCLUC investigators including Prof. Ranjeet John (University of South Dakota), Dr. Qiongyu Huang (Smithsonian Institution), Dr. Munavar Zhumanova (Michigan State University), Dr.

Robert Gilmore Pontius Jr, Thomas Bilintoh, Gustavo de L. T. Oliveira, and Julia Z. Shimbo (2023) Trajectories of losses and gains of soybean cultivation during multiple time intervals in western Bahia, Brazil, Space Week Nordeste 2023 in Fortaleza, Brazil.

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Xie, Y., Li, Z., Bao, H., Jia, X., Xu, D., Zhou, X., & Skakun, S. (2023, June). Auto-CM: Unsupervised deep learning for satellite imagery composition and cloud masking using spatio-temporal dynamics. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 12, pp. 14575-14583).

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Li, Z., Xie, Y., Jia, X., Stuart, K., Delaire, C., & Skakun, S. (2023, June). Point-to-region co-learning for poverty mapping at high resolution using satellite imagery. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 12, pp. 14321-14328).

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Shumilo, L., Skakun, S., Gore, M. L., Shelestov, A., Kussul, N., Hurtt, G., & Yarotskiy, V. (2023). Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war. Communications Earth & Environment, 4(1), 443.

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Dixon, D., C. Brown, Y. Zhu, and Y. Jin (2023). Satellite detection of canopy scale tree mortality from California wildfires with spatio-temporal deep learning, Remote Sensing of Environment, 298(113842), https://doi.org/10.1016/j.rse.2023.113842.

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