Evaluating Satellite Indicators in Determining the Level of Aquatic Areas Using Satellite Sensors (Case Study: Zaribar Wetland, Kurdistan Province)

Document Type : Research Article

Authors

1 M.Sc. of Environmental Sciences, Research Fellow at Water Research Institute,Tehran, Iran

2 Associated Professor, Department of Environment, Islamic Azad University, Shahrood Branch, Iran

3 Professor, Department of Environment, Islamic Azad University, North Tehran Branch, Iran

Abstract

tension are contributing factors for understanding the hydrological cycle and water resources management. Recently, remote sensing technique has become a common approach for monitoring surface water resources. The main objective of this study is the determination of the suitable satellite indices for extracting Zaribar wetland area using Landsat 5.7.8 satellite images. The area of the wetland is calculated by using the supervised classification method (maximum likelihood) between 2005 and 2016, and this method is considered as the basis for determining the best indices. NDVI, NDWI, MNDWI, SWI, AWEI, and WRI were compared with each other as the most common indices in determining water bodies. The values of each index in every image were extracted and the threshold values for each image were determined and finally verified by using the base method. Comparison with reference method (supervised classification) revealed that, MNDWI, AWEI, and SWI indices with correlation values of 0/76, 0/76, and 0/74, and RMSE value of 108/80, 111/30, and 113/80 hectares, and MAE error values of 85/63, 94/28 and 87/30 hectares, respectively are the best indicators for determining water body area. Considering the easiness and rate of calculation, it is more likely that using these indicators would help us to create a time series of wetland area changes for efficient management of this water body.

Keywords

References

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Iranian journal of Ecohydrology
Volume 7, Issue 2
July 2020
Pages 539-550

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History

  • Receive Date: 06 January 2020
  • Revise Date: 02 June 2020
  • Accept Date: 02 June 2020
  • First Publish Date: 21 June 2020
  • Publish Date: 21 June 2020

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