Application of Interferometric Method and Radar Remote Sensing Images for Estimating the Depth of Snow and Water Discharge, Case Study: (Yamchie Basin)

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SEIFI H.; FEIZIZADEH B.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2019 | Volume:15 | Issue:1 Page(s): 341-355

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Title

Application of Interferometric Method and Radar Remote Sensing Images for Estimating the Depth of Snow and Water Discharge, Case Study: (Yamchie Basin)

Author(s)

SEIFI H. | FEIZIZADEH B. | Issue Writer Certificate

Keywords

Snow DepthQ2

Snow CoverQ1

Sentinel A1Q1

D-InSAR MethodQ1

Yamchi BasinQ1

Abstract

Snow Cover in mountainous basins is known as an important and reliable fresh water resource. Due to the physical conditions of the mountainous environments, in situ measurement of snow pack is challenging based on traditional methods and techniques. In order to deal with this issue, remote sensing based on satellite images can be considered as efficient method for identifying Snow Cover and computing Snow Depth and volume. Within the current research, the Landsat 8 satellite images were employed to detect Snow Cover surface for Yamchi Basin using NDSI indices and object based image analysis methods. The ground control points were applied to compute the accuracy of the results and the overall accuracy was computed to be about 90%. In order to measure the Snow Cover depth and compute water discharge, the Sentinel A1 and D-InSAR satellite imagery were employed. In context of Snow Cover investigation using Landsat 8 images, the satellite images for September indicated no Snow Cover for the study area which accordingly employed as basic data for comparing against winter season satellite images and accordingly computing the Snow Cover and depth using the interferometry approaches. The obtained results were verified by ground data. Accordingly, the correlation coefficients between observational data and estimated Snow Depth were computed to be about 85%. With confidence in the accuracy of the maps, the snow volume was also obtained through surface and Snow Depth maps. Accordingly, the correlation between Snow Depth of ground control points and the obtained snows depth from differential radar interference were employed to compute water discharge in the study area. Results of this study are of great importance for applying remote sensing image processing methods and analyzing their capabilities for future research. Results are also important for regional decision makers and authorities for regional water resource planning and management.

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APA: Copy

SEIFI, H., & FEIZIZADEH, B.. (2019). Application of Interferometric Method and Radar Remote Sensing Images for Estimating the Depth of Snow and Water Discharge, Case Study: (Yamchie Basin). IRAN-WATER RESOURCES RESEARCH, 15(1 ), 341-355. SID. https://sid.ir/paper/100071/en

Vancouver: Copy

SEIFI H., FEIZIZADEH B.. Application of Interferometric Method and Radar Remote Sensing Images for Estimating the Depth of Snow and Water Discharge, Case Study: (Yamchie Basin). IRAN-WATER RESOURCES RESEARCH[Internet]. 2019;15(1 ):341-355. Available from: https://sid.ir/paper/100071/en

IEEE: Copy

H. SEIFI, and B. FEIZIZADEH, “Application of Interferometric Method and Radar Remote Sensing Images for Estimating the Depth of Snow and Water Discharge, Case Study: (Yamchie Basin),” IRAN-WATER RESOURCES RESEARCH, vol. 15, no. 1 , pp. 341–355, 2019, [Online]. Available: https://sid.ir/paper/100071/en

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