Abstract

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.

Highlights

  • 1.1 BackgroundKazakhstan is the largest country of Central Asia and the world's largest wheat flour exporter

  • Because vegetation morphology and greenness as well as leaf canopy temperature are very sensitive to the drought, hundreds of remote sensing drought indices have been developed based on vegetation indices and land surface temperature (Rhee et al, 2010)

  • Remote sensing of drought monitoring in a severe drought year (2012), (a) Anomaly Vegetation Index (AVI), (b) Vegetation Condition Index (VCI), (c) Temperature Condition Index (TCI), (d) Vegetation Health Index (VHI), (e) Vegetation Supply Water Index (VSWI)-Normalized Difference Vegetation Index (NDVI), (f)VSWI-EVI

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Summary

Introduction

Kazakhstan is the largest country of Central Asia and the world's largest wheat flour exporter. It is located in the inland region of the Euro-Asian continent. As a traditional agricultural country, drought has become an important constraint that affects the country's economic development (Dubovyk et al, 2019). As an important wheat producing region in the world, Kazakhstan is listed by the United Nations Food and Agriculture Organization (FAO) as a key area of the global drought monitoring system. Compared with traditional ground observations by meteorological stations, remote sensing provides an efficient tool for monitoring drought in a wide range. Because vegetation morphology and greenness as well as leaf canopy temperature are very sensitive to the drought, hundreds of remote sensing drought indices have been developed based on vegetation indices and land surface temperature (Rhee et al, 2010)

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