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Digital early-warning technologies for climate crisis management and agricultural transition in Central Asia

Thematic complex:
Livelihoods in rural areas
Project duration:
01.06.2018 - 31.05.2020
Investigated countries:

The project DETECCT addresses the question, to what extent digitalization can contribute to mitigate climate risks in Central Asia. In detail, the project comprises a feasibility study for an early warning tool for climate risks in agriculture identifying need, time and location of external intervention. Target groups for the intended application are governments of the concerned countries, NGOs and other agricultural stakeholders.

In the scope of the project, we will employ a novel combination of remote sensing data, drone imagery and socio-economic household data. First, the accuracy of satellite data and drone images in terms of predicting the severity of drought on regional level is tested. In the second step, satellite and drone data is combined with household data to quantify drought consequences for rural livelihood.


Project Staff

Dr. Sarvarbek Eltazarov
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Shovkat Khodjaev
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Dr. Ihtiyor Bobojonov
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Dr. Lena Kuhn
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Prof. Dr. Dr. h.c. mult. Thomas Glauben
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