Collaboration in the heart of Eurasia
Fall 2025 CARIN Research Webinar Series
First Fridays this Fall: 05SEP, 03OCT, 07NOV, 05DEC
05 SEP 25 @ 0800-0900 (UTC-4)
Vadim Yapiyev, Nazarbayev University, KZ—Mountain System Recharge to the Deep Aquifers in the Sedimentary Basins of Central Asia
Saule Suleimenova, University of Reading, UK/KZ—Farmers’ Perspective: Kazakhstan Soybean Production under Changing Climatic Conditions
03 OCT 25 @ 0900-1000 (UTC-4)
Naga Manohar Velpuri, International Water Management Institute, US/LK—From Data to Decisions: A Scale Invariant Water Accounting Plus Framework for Integrated Water Resources Management
Registration for 03OCT25 Webinar will be available here in late September!
07 NOV 25 @ 0800-0900 (UTC-5) New time!
Husniddin Sharofiddinov, Kochi University of Technology, JP/TJ—Economic Analyses on Land Use and Water Allocations in Tajikistan Agriculture for Adaptations and Sustainability
Bota Sharipova, IHE Delft Institute for Water Education, NL/KZ—Trust and Transboundary Water Cooperation in Central Asia: Findings of PhD Research and Reflections on Research
05 DEC 25 @ 0800-1000 (UTC-5) New time!
Vitalii Zaginaev, University of Central Asia, KG—Monitoring and GLOF Forecasting in Kyrgyzstan
Undrakh-Od Baatar, Central Asian Soil Science Society, MN—Prediction of Plant Distribution Impacted by Climate Change
In SEP & OCT, webinars start at 0900 (EDT): Berlin 1500 (UTC+2); Baku 1700 (UTC+4); Astana 1800 (UTC+5); Bishkek 1900 (UTC+6); Ulaanbaatar 2100 (UTC+8)
In NOV & DEC, webinars start at 0800 (EST): Berlin 1400 (UTC+1); Baku 1700 (UTC+4); Astana 1800 (UTC+5); Bishkek 1900 (UTC+6); Ulaanbaatar 2100 (UTC+8)
Interested in speaking at a CARIN Research Webinar? Contact us: henebryg@msu.edu & orunbaev_s@auca.kg
Find recordings of 2023-2025 CARIN Research Webinars here:
https://lcluc.umd.edu/content/gofc-gold-carin-webinar-series-2023
Opportunities
Collaborations, funding, and fellowships
Our Network
CARIN is a platform to promote and support collaboration among remote sensing experts, researchers, academicians, NGOs, and relevant government agencies in Central Asia.
Where we work…
Remote sensing reveals the drylands of Central Asia using a long time series of MODIS surface reflectance data (from MCD43C4) processed using the “tasseled cap transform” to produce three factors displayed in this false color composite: “greenness” shown here in green is associated with vegetation; “brightness” shown in red is associated with the amount of exposed soil; and “wetness” shown in blue draws our attention to high-elevation snowy areas. Areas in flat black displayed open water. Very dark areas (thus low values in brightness, greenness, and wetness) are associated with very arid deserts.
Publications & Information Resources
Publications, reports, and research relevant to Central Asia
