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Estimate rainfall-runoff using Google Earth Engine in the Minab River Basin

Estimate rainfall-runoff using Google Earth Engine in the Minab River Basin

This is a Preprint and has not been peer reviewed. This is version 3 of this Preprint.

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Authors

Sabrieh Shahbazi, Samira Shokr Behjatic

Abstract

The Soil Conservation Service Curve Number (SCS-CN) method is a widely accepted and reliable approach for estimating rainfall-runoff relationships within a watershed. This technique is instrumental in hydrological studies, particularly for sustainable water resource management, flood control, and soil conservation. The integration of the SCS-CN method with Google Earth Engine (GEE), a cloud-based geospatial analysis platform, enhances runoff estimation by leveraging high-performance computing and extensive satellite datasets. This study applies the SCS-CN method within the GEE framework to estimate surface runoff in the Minab basin for the period 2022–2023. The research highlights the effectiveness of combining remote sensing and hydrological modeling to improve watershed management and decision-making processes.

DOI

https://doi.org/10.31223/X51B1J

Subjects

Earth Sciences, Geography

Keywords

Rainfall-Runoff, Google Earth Engine, Minab River Basin

Dates

Published: 2025-03-29 09:01

Last Updated: 2025-03-31 17:47

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No Creative Commons license

Additional Metadata

Conflict of interest statement:
non