首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Map and Quantify the Ground Deformation Around Salt Lake in Hoh Xil, Qinghai-Tibet Plateau Using Time-Series InSAR From 2006 to 2018
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Map and Quantify the Ground Deformation Around Salt Lake in Hoh Xil, Qinghai-Tibet Plateau Using Time-Series InSAR From 2006 to 2018

机译:在2006年至2018年使用时间系列INSAR在HOH XIL中的盐湖周围地图和量化盐湖周围变形

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摘要

After the bursting of the Zhuonai Lake in Hoh Xil, Qinghai-Tibet Plateau, in 2011, the water area and level of the Salt Lake increased rapidly. The lake area expanding would accelerate the melting of permafrost and contribute to many severe environmental issues, including the surface deformation around the lake. In this article, we retrieve the deformation of the permafrost area around the Salt lake using the time-series synthetic aperture radar (SAR) interferometry (InSAR) method with ENVISAT and Sentinel-1A images from October 2006 to December 2018. In order to get more measurement points, the distributed scatterers were utilized. Moreover, a deformation model combining two components, long-term linear deformation related with temperature, was adopted in the InSAR processing. The experimental results show that before the outburst of the Zhuonai Lake, the ground deformation was not obvious with the mean deformation rate of −5 to 5 mm/year from the ENVISAT results. From 2014 to 2018, the ground deformation around the Salt Lake gradually increased with the maximum deformation rate over −25 mm/year. The water area and the water level of Salt Lake were extracted based on the SAR amplitude images and Cryosat-2 radar altimeter data, showing a rapid increasing trend after 2017. The time-series displacement in the south of lake shows a high correlation with the lake level history. This study clearly illustrate that time-series InSAR could provide valuable information for monitoring potential hazards in permafrost region.
机译:在青藏高原Hoh Xil的Zhuonai Lake爆发后,2011年,水域和盐湖水平迅速增加。湖区扩张将加速永久冻土的熔化,并有助于许多严重的环境问题,包括湖周围的表面变形。在本文中,我们使用2006年10月至2018年10月的时间序列合成孔径雷达(SAR)干涉(SARAR)干涉法(SARAR)干涉(SARAR)干涉法(SARAL)方法在盐湖周围的变形。为了获得更多测量点,利用分布式散射体。此外,在Insar处理中采用了组合两个部件,与温度相关的长期线性变形的变形模型。实验结果表明,在Zhuonai湖的爆发前,地面变形并不明显,平均变形率-5至5毫米/年从Envisat结果。从2014年到2018年,盐湖周围的地面变形逐渐增加,最大变形率超过-25毫米/年。基于SAR幅度图像和低温-2雷达高度计数据提取水域和水平的盐湖水平,在2017年之后呈现快速提高趋势。湖南南部的时序位移与湖级历史。本研究清楚地说明了时间序列Insar可以提供有价值的信息,以监测多年冻土区域的潜在危险。

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