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首页> 外文期刊>International journal of remote sensing >Snow depth in Dhundi: an estimate based on weighted bias corrected differential phase observations of dual polarimetric bi-temporal Sentinel-1 data
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Snow depth in Dhundi: an estimate based on weighted bias corrected differential phase observations of dual polarimetric bi-temporal Sentinel-1 data

机译：DHUNDI的雪深：基于加权偏置校正差异相位观测的估计，双偏振双颞封塞-1数据

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摘要

The studies on snow depth comprise a crucial area of research in the Indian Himalayas, where the seasonal snow cover primarily drives the rivers and significant water resources. In this paper, the initial estimates of the line of sight displacement obtained using differential interferometric phase in VV and VH polarizations using Sentinel-1 bi-temporal dual polarimetric SAR data corresponding to snow covered and snow free land cover, are improved by applying bias corrections for the snow phase and for residual errors in displacement derived from the corrected snow phase. The bias for the snow phase is computed from the observed phase in VV and VH polarizations for the snow free area and the bias for the residual errors is computed by observing the stationary pixels identified in the snow free area using a digital elevation model. The snow depth is computed as a weighted sum of the corrected displacements in the VV and VH polarization, with the weights derived using the local incidence angle. The snow depth results based on the proposed approach was evaluated with respect to field measurements and a coefficient of determination of 0.628 was observed with an improvement of similar to 0.4 as compared to the displacement observed in the VV and VH channel using the conventional method.
机译：雪深的研究包括印度喜马拉雅山的一个关键的研究领域，季节性雪覆盖主要推动河流和大量水资源。在本文中，通过应用与雪覆盖和雪覆盖覆盖对应于雪覆盖和雪地覆盖的VV和VH偏振中使用的差动干涉阶层获得的视线位移线的初始估计，得到了偏压校正对于雪阶段和偏离校正雪阶段的位移中的残余误差。从雪相的偏置从观察到的阶段计算在VV和VH偏振中，用于雪自由区域的偏振，并且通过使用数字高度模型观察在雪自由区域中识别的固定像素来计算剩余误差的偏差。将雪深层被计算为VV和VH极化中校正位移的加权和，使用局部入射角导​​出的权重。基于所提出的方法的雪深度得到关于现场测量的评估，并且观察到0.628的测定系数，随着使用常规方法在VV和VH通道中观察到的位移相比，与0.4相比。

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  • 来源
    《International journal of remote sensing》 |2020年第8期|3031-3053|共23页
  • 作者

    Varade Divyesh; Maurya Ajay K.; Dikshit Onkar; Singh Gulab; Manickam Surendar;

  • 作者单位

    Indian Inst Technol Kanpur Dept Civil Engn Kanpur Uttar Pradesh India;

    Reg Meteorol Ctr Flood Meteorol Off Gauhati India;

    Indian Inst Technol Kanpur Dept Civil Engn Kanpur Uttar Pradesh India;

    Indian Inst Technol Ctr Studies Resource Engn Mumbai Maharashtra India;

    Duke Univ Dept Civil & Environm Engn Durham NC 27706 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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