Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Chuanhua Zhu"'
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2802 (2024)
Land cover classification of Synthetic Aperture Radar (SAR) imagery is a significant research direction in SAR image interpretation. However, due to the unique imaging methodology of SAR, interpreting SAR images presents numerous challenges, and land
Externí odkaz:
https://doaj.org/article/10b16eb5c51e46759e3801ac21b37907
Autor:
Bochen Zhang, Xianing Liao, Jiayuan Zhang, Siting Xiong, Chisheng Wang, Songbo Wu, Chuanhua Zhu, Jiasong Zhu, Xiaoqiong Qin, Qingquan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103432- (2023)
As one of the most densely populated and rapidly growing metropolitan areas worldwide, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) of China has been developing extensive metro networks to relieve the escalating traffic congestion inner citie
Externí odkaz:
https://doaj.org/article/6aaaf3fb4a15461b9e5f813f10218e52
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5758 (2023)
Unmanned aerial vehicles (UAVs) have emerged as a highly efficient means of monitoring landslide-prone regions, given the growing concern for urban safety and the increasing occurrence of landslides. Designing optimal UAV flight routes is crucial for
Externí odkaz:
https://doaj.org/article/d00a7ff3d2b94ac580181ac87480dee8
Autor:
Chuanchao Huang, Guohong Zhang, Dezheng Zhao, Xinjian Shan, Chaodi Xie, Hongwei Tu, Chunyan Qu, Chuanhua Zhu, Nana Han, Junxian Chen
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5104 (2022)
We obtained the rupture process and slip distribution of the 2022 Mw6.6 Menyuan earthquake by jointly inverting accelerogram data and InSAR measurements. The near-field InSAR measurements provide good constraints on the shallow slip distributions (6
Externí odkaz:
https://doaj.org/article/6ed4c3f4e3f14fe8a03123ff53c2bccb
Autor:
Chuanhua Zhu, Chisheng Wang, Xinjian Shan, Guohong Zhang, Qingquan Li, Jiasong Zhu, Bochen Zhang, Peng Liu
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1819 (2022)
We derived the joint slip models of the three major events in the 2016 Central Italy earthquake sequence by inverting strong-motion and InSAR datasets. b-values and the historic earthquake scarp offset were also investigated after processing the eart
Externí odkaz:
https://doaj.org/article/bc42ce2e225845999ed36ee76cda0abc
Autor:
Wenyu Gong, Dezheng Zhao, Chuanhua Zhu, Yingfeng Zhang, Chenglong Li, Guifang Zhang, Xinjian Shan
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1425 (2022)
Focusing on stratified tropospheric delay correction in the small-amplitude coseismic displacement field of small-to-moderate earthquakes (
Externí odkaz:
https://doaj.org/article/f0b1f6095beb484e83765f87a8d89aea
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 1017 (2022)
An earthquake of moderate magnitude (MW 6.1) occurred in Yangbi County, Dali, Yunnan Province, China, on 21 May 2021. Compared to strong earthquakes, the measurement of the deformation fields of moderate earthquakes is more susceptible to errors asso
Externí odkaz:
https://doaj.org/article/64be49b317d045c69fd39249481f29d1
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4478 (2021)
Peak ground displacement (PGD) and peak ground velocity (PGV) are critical parameters during earthquake early warning, as they can provide rapid magnitude estimation before rupture end. In this study, we used the high-rate Global Navigation Satellite
Externí odkaz:
https://doaj.org/article/ff551e96d0ab443487beec702ff26664
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2411 (2019)
During an earthquake, crustal deformation, fluid flow, and temperature variation are coupled; however, earthquake-related land surface temperature (LST) variations remain unclear. To determine whether post-seismic fluid migration can cause changes in
Externí odkaz:
https://doaj.org/article/3be8dce67e544257b5d3fff1eb4e2b19
Autor:
Wenyu Gong, Xiaogang Song, Yingfeng Zhang, Jun Hua, Haoyue Sun, Dezheng Zhao, Chuanhua Zhu, Xianjian Shan
Publikováno v:
Geophysical Journal International. 233:384-401
SUMMARY The Daliangshan area of Sichuan, China, is located on the southeastern margin of the Qinghai–Tibetan Plateau. It marks the central section of the left-lateral Xianshuihe–Xiaojiang Fault System (XXFS), which plays a crucial role in accommo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be897abcbdc5cb0b4982bac6de232d3
https://doi.org/10.1093/gji/ggac460
https://doi.org/10.1093/gji/ggac460