Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR.
Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR.
复制标题
利用 X 波段临时散射体堆叠 InSAR 监测永久冻土区公路稳定性
DOI:
10.3390/s18061876
复制
发表时间:
2018-06-08
期刊:
影响因子:
--
通讯作者:
Li G
中科院分区:
文献类型:
--
作者:
Dai K;Liu G;Li Z;Ma D;Wang X;Zhang B;Tang J;Li G
Interferograms with short wavelength (e.g., X-band) are usually prone to temporal decorrelation in permafrost regions, leading to the unavailability of sufficient high-coherence interferograms for performing conventional time series InSAR analysis. This paper proposes the utilization of temporary scatterers for the stacking InSAR method, thus enabling extraction of subsidence in a permafrost region with limited SAR images and limited high-coherence interferograms. Such method is termed as the temporary scatterers stacking InSAR (TSS-InSAR). Taking the Gonghe-Yushu highway (about 30 km), part of G214 National Highway in Qinghai province (in a permafrost region), as a case study, this TSS-InSAR approach was demonstrated in detail and implemented. With 10 TerraSAR-X images acquired during the period from May 2015 to August 2015, the subsidence along this highway was extracted. In this case the lack of a consistent number of SAR acquisitions limits the possibility to perform other conventional time series InSAR analysis. The results show that the middle part of this highway is in the thermokarst and seasonal frozen soil area, and its accumulated subsidence reach up to 10 cm in 110 days. The thawing phenomena is still the main reason for the instability of highway. The results demonstrate that the TSS-InSAR method can effectively extract the subsidence information in a challenging scenario with limited X-band SAR images and limited high-coherence interferograms, where other time series InSAR-based techniques cannot be applied in a simple way.
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DOI:
10.1109/tgrs.2002.803792
发表时间:
2002-11-01
影响因子:
8.2
作者:
Berardino, P;Fornaro, G;Sansosti, E
通讯作者:
Sansosti, E
影响因子:
8.2
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通讯作者:
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DOI:
10.1109/tgrs.2003.814657
发表时间:
2003-10-01
影响因子:
8.2
作者:
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通讯作者:
Broquetas, A
影响因子:
4.2
作者:
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通讯作者:
Casagli, Nicola
影响因子:
18.9
作者:
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通讯作者:
Yin, Guoan