Temporal and spatial monitoring of suspended sediments in the Dez Dam Basin using remote sensing

Document Type : Research Paper

Authors

1 Department of Rangeland and Watershed Management, Faculty of Natural Resources and Desert Studies, Yazd University, Yazd, Iran

2 Department of Rangeland and Watershed Management, Faculty of Natural Resources and Desert Studies, Yazd University, Yazd, Iran.

3 Department of Rangeland and Watershed Management, Faculty of Natural Resources , Yazd University, Yazd, Iran.

4 Iranian space research institute, Tehran, Iran.

10.29252/aridbiom.2025.22851.2042

Abstract

The amount of sediment and suspended matter in flowing water is a significant concern in the design of hydraulic structures, such as channels, gates, and dam turbines. This issue is very important for several reasons, including maintaining soil quality in agricultural lands, addressing environmental concerns, and managing water resources for drinking and industry. Meanwhile, remote sensing technology has become an efficient and popular tool for natural resource management and assessment, offering time and cost savings as well as more accurate results than traditional methods. This study aimed to estimate suspended sediments in the Dez Dam basin, from upstream to downstream, using Sentinel-2 time-series satellite data collected between 2015 and 2021. For this purpose, the Suspended Sediment Concentration (SSC) index was extracted, and the results were calibrated using data from hydrometric stations. The results showed that satellite reflectance and suspended sediment concentration (SSC) depend on the wavelengths of the imaging bands. In a study of 12 bands of Sentinel images, bands 4 and 5 exhibited the highest correlation with sediment concentration. According to the results, the highest accuracy was observed in June 2020, with a coefficient of determination of 0.89, while the lowest accuracy was recorded in June 2021, with a coefficient of determination of 0.69. In 2015, the coefficient of determination for Farvardin was 0.78, while for Khordad, it was 0.82. In 2017, the accuracy for Farvardin and Khordad was 0.88 and 0.74, respectively.

Keywords

Main Subjects

References

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Journal of Arid Biome
Volume 15, Issue 1
March 2025
Pages 21-35

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