Comparison of Remote Sensing Indices in Determining the Flood Zoning of the Doab Vaysian Watershed

Kakavand, Maedeh; Haghizadeh, Ali; Soleimani-Motlagh, Mahdi

doi:10.22111/jneh.2023.46291.1978

Comparison of Remote Sensing Indices in Determining the Flood Zoning of the Doab Vaysian Watershed

Document Type : Research Article

Authors

¹ MSc of Watershed Management Engineering, Department of Range and Watershed Management Engineering, Faculty of Natural Resources, Lorestan University, Khorramabad, Iran

² Associate Professor, Department of Range and Watershed Management Engineering, Faculty of Natural Resources, Lorestan University, Khorramabad, Iran

³ Assistant Professor, Department of Range and Watershed Management Engineering, Faculty of Natural Resources, Lorestan University, Khorramabad, Iran

10.22111/jneh.2023.46291.1978

Abstract

Estimation of flood zoning is very important in terms of management and determination of flood damages. Remote sensing and the use of high-resolution images can be effective in extracting flood zoning estimator indicators. In this research, Sentinel 2 images in the year of the flood occurrence with a spatial resolution of 10 meters and Landsat 8 images at the same time in the years before and after the flood were used by environment the Google Earth Engine. In this study, the zoning of the flood was estimated using indices of NDWI, MNDWI, and DVDI. The results showed that the MNDWI, despite the long-time interval (20 days) after the flood of 2019 and the evaporation of most of the water spread over the lands, the area of flooding was estimated better compared to the NDWI around 330.59 ha. Also, the flood-affected area using DVDI (that indicates the destruction of vegetation due to floods showing negative values) was estimated at 3522.21 ha, which showed a small difference compared to the results provided by the results of Lorestan Governorate research (4750 hectares). Finally, the results showed although DVDI optimally estimated flood zoning due to the use of the 5-year time series of the NDVI before and after the flood if the cloud-free images of Sentinel 2 exist to extract the MNDWI, it probably could perform better than the DVDI. In general, the use of the above indicators is suggested as an important, practical, and low-cost method for management, area estimation, and flood damage determination.

Keywords

Main Subjects

Hydrology & Hydrogeology

References

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