Comparison and evaluation of remote sensing indices for agricultural drought monitoring over Kazakhstan

B. Sun, J. Qian*, X. Chen, Qiming Zhou

*Corresponding author for this work

    Research output: Contribution to journalConference articlepeer-review

    6 Citations (Scopus)

    Abstract

    Drought has a significant impact on the Kazakhstan's agricultural economy, which is the world's largest wheat flour exporting country. Remote sensing provides an efficient tool for monitoring agricultural drought in a wide range. Hundreds of remote sensing drought indices have been developed during the past decades. Some of them have been widely used over the world as an indispensable indicator in drought monitoring systems. However, the applicability of those indices in Kazakhstan, the largest country in Central Asia has not been tested, especially for agricultural drought monitoring. In this study, the most common remote sensing drought indices in current running systems of drought monitoring are compared and evaluated. The response of those indices to the soil drought is validated based on remote sensing soil moisture data. In addition, the effectiveness of remote sensing indices in agricultural drought monitoring is assessed according to agricultural product yield data from the past 15 years (2004-2018). Results indicate that remote sensing drought indices can generally reflect serious drought events in the study area, but the consistency of different types of indices is poor. Compared with annual statistics of agricultural product yield, remote sensing drought index better reflects the long-term change of agricultural drought in Kazakhstan.

    Original languageEnglish
    Pages (from-to)899-903
    Number of pages5
    JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
    Volume43
    Issue numberB3
    DOIs
    Publication statusPublished - 6 Aug 2020
    Event2020 24th ISPRS Congress - Technical Commission III - Nice, Virtual, France
    Duration: 31 Aug 20202 Sept 2020

    Scopus Subject Areas

    • Information Systems
    • Geography, Planning and Development

    User-Defined Keywords

    • Agricultural Drought
    • Crop Yield
    • Kazakhstan
    • Remote Sensing Drought Index
    • Validation

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