Evaluation of remote sensing-based agricultural drought monitoring using Standardized Precipitation Index in the growing months (Case study: Karun Bozorg catchment area)

Document Type : Original Article

Authors

1 University of Tehran

2 Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran,

Abstract

Drought is one of the meteorological and inseparable phenomena of climate in countries located in tropical latitudes such as Iran. In this study, drought monitoring data from MODIS sensors were used to extract VCI and TCI indices in plant growth months (March to August) from 2001 to 2017. The objective is to evaluate the satellite drought monitoring in the huge Karun basin using SPI index. After calculating the satellite indices in ENVI software, the values were compared with the SPI index calculated in MATLAB and zoned by IDW interpolation method. Finally, in all indicators, the southern part of the catchment showed severe drought. High correlation of VCI index was also shown by examining correlation between satellite indices and SPI index. The highest correlation coefficient of this index was for Azna and Yasuj stations with 0.62 and 0.59, respectively.
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Keywords

References

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Iranian Journal of Irrigation & Drainage
Volume 14, Issue 4 - Serial Number 82
November and December 2020
Pages 1252-1264

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