Collaboration in the heart of Eurasia

Fall 2025 CARIN Research Webinar Series

First Fridays this Fall: 05SEP, 03OCT, 07NOV, 05DEC

CARIN #25 is happening on Friday 05SEP25 [0900 EDT; 1400 Reading/UTC+1; 1800 Astana/UTC+5] featuring (i) Vadim Yapiyev (Nazarbayev University, KZ) speaking on “Mountain System Recharge to the Deep Aquifers in the Sedimentary Basins of Central Asia” and (ii) Saule Suleimenova (University of Reading, UK) speaking on ”Farmers’ Perspective: Kazakhstan Soybean Production under Changing Climatic Conditions”

Register for CARIN #25 here:

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

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Opportunities

Collaborations, funding, and fellowships

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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” …

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.

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Publications & Information Resources

Publications, reports, and research relevant to Central Asia

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