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The potential of satellite-based data to detect weather extremes and crop yield variation for hedging agricultural weather risks in Central Asia and Mongolia: Three essays

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  • Eltazarov, Sarvarbek

Abstract

The increasing availability of open-source and high-quality satellite data has facilitated market developments in the index insurance sector. However, the suitability of various satellite products for detecting weather extremes and crop yield variations across world regions must be thoroughly assessed. Therefore, this dissertation investigates the feasibility and performance of various satellite and reanalysis-based weather and vegetation data to design index insurance products for agricultural producers. According to the results, the studied satellite-based data could serve as a good source to establish and implement index insurance products in the region. However, careful assessment and selection of index, temporal aggregation, and land use/cover classification remain essential.

Suggested Citation

  • Eltazarov, Sarvarbek, 2023. "The potential of satellite-based data to detect weather extremes and crop yield variation for hedging agricultural weather risks in Central Asia and Mongolia: Three essays," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 286134, September.
    • Handle: RePEc:zbw:esthes:286134
    DOI: 10.25673/112942
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    References listed on IDEAS

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    1. Florian Schierhorn & Max Hofmann & Taras Gagalyuk & Igor Ostapchuk & Daniel Müller, 2021. "Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages," Climatic Change, Springer, vol. 169(3), pages 1-19, December.
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    7. Eltazarov, Sarvarbek & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2021. "Mapping weather risk – A multi-indicator analysis of satellite-based weather data for agricultural index insurance development in semi-arid and arid zones of Central Asia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23.
    8. Robert Finger, 2013. "Investigating the performance of different estimation techniques for crop yield data analysis in crop insurance applications," Agricultural Economics, International Association of Agricultural Economists, vol. 44(2), pages 217-230, March.
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