Remote sensing-Based drought monitoring in Tehran city using nonparametric SPI

Document Type : Research Paper

Authors

1 Department of Civil Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran.

2 Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

10.22059/jwim.2024.378794.1171

Abstract

Today, drought is considered a dangerous phenomenon in various regions of the world, including Iran. This fact necessitates drought monitoring and the use of remote sensing tools to determine the intensity and duration of drought. In the current study, drought in the study area of Tehran city was determined based on observational and remote sensing rainfall data. For this purpose, TRMM satellite precipitation products were extracted between 1998 and 2019 using the coding tool in Google Earth Engine. Then, the drought of the region was monitored based on the non-parametric standardized precipitation index (SPI) and observational and remote sensing precipitation data for 3, 6, and 12 months' time scales. In this context, the relationship between satellite precipitation and observations was determined using the bootstrap method. Also, to deeply examine the TRMM satellite precipitation and the measured precipitation data, the correlation between observed and satellite drought in the different time scales was estimated using Spearman, Kendall, Point-biserial and Pearson statistical methods. Finally, using RMSE and NS, the error in estimating rainfall and drought based on TRMM satellite products was calculated. Validation results showed that the calculated SPI based on TRMM rainfall data on a 6-month scale had less error. According to the findings, the RMSE and NS values for the 6-month drought estimation were 0.873 and 0.028, respectively. Additionally, the results showed that the drought in the study area between 1998 and 2019 exhibited an increasing trend.

Keywords

Main Subjects

References

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Water and Irrigation Management
Volume 14, Issue 4
February 2025
Pages 969-988

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