N. Wen
12 Papers
1 Citations
N. Wen is an academic researcher. The author has contributed to research in topics: Geology & Computer science. The author has an hindex of 3, co-authored 5 publications.
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Papers
Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements
Keren Dai,Jin Deng,Qiang Xu,Zhenhong Li,Xianlin Shi,Craig M. Hancock,N. Wen,Lele Zhang,Guanchen Zhuo +8 more
TL;DR: In this article , a wide area potential landslide early identification was carried out using SBAS-InSAR in the whole of Mao County, a mountainous area in western Sichuan (China), with a total of 41 potential landslides successfully detected.
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Monitoring and Predicting the Subsidence of Dalian Jinzhou Bay International Airport, China by Integrating InSAR Observation and Terzaghi Consolidation Theory
TL;DR: In this article , the authors used the Small Baseline Subset Synthetic Aperture Radar (SBAS-InSAR) technology based on Sentinel-1 images from 2017 to 2021 to obtain the subsidence over the land reclamation area of the Dalian Jinzhou Bay International Airport.
Revealing the time lag between slope stability and reservoir water fluctuation from InSAR observations and wavelet tools— a case study in Maoergai Reservoir (China)
TL;DR: Wang et al. as discussed by the authors applied wavelet tools to quantify the time lag between slope stability and reservoir water fluctuation, revealing that the displacement exhibits a seasonal trend, whose high-frequency signal displacement has an interannual period.
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Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data
Keren Dai,Rubing Liang,Lichuan Chen,N. Wen,Guang Zheng +4 more
TL;DR: InSAR technology is effective in identifying potential landslides in steep mountainous areas. L-band SAR data is preferred for landslide identification due to its coherence, coverage, and displacement results.
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Utilizing a single-temporal full polarimetric Gaofen-3 SAR image to map coseismic landslide inventory following the 2017 Mw 7.0 Jiuzhaigou earthquake (China)
Rubing Liang,Keren Dai,Qiang Xu,Saied Pirasteh,Zhenhong Li,Tao Li,N. Wen,Jin Deng,Xuanmei Fan +8 more
TL;DR: This study utilizes a single-temporal full polarimetric Gaofen-3 SAR image to map coseismic landslides following the 2017 Jiuzhaigou earthquake, achieving high accuracy and providing an effective solution for post-earthquake emergency responses in complex environments and all weather conditions.
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