Results 91 to 100 of about 47,507 (217)

Identify Landslide Precursors from Time Series InSAR Results

International Journal of Disaster Risk Science
Landslides cause huge human and economic losses globally. Detecting landslide precursors is crucial for disaster prevention. The small baseline subset interferometric synthetic-aperture radar (SBAS-InSAR) has been a popular method for detecting landslide
Meng Liu, Wentao Yang, Yuting Yang, Lanlan Guo, Peijun Shi   +4 more
doaj   +1 more source

Time-Series InSAR Technology for Monitoring and Analyzing Surface Deformations in Mining Areas Affected by Fault Disturbances

Remote Sensing
Faults, as unique geological structures, disrupt the mechanical connections between rock masses. During coal mining, faults in the overlying strata can disturb the original stress balance, leading to fault activation and altering the typical subsidence ...
Kuan He, Youfeng Zou, Zhigang Han, Jilei Huang   +3 more
doaj   +1 more source

Theory and Statistical Description of the Enhanced Multi-Temporal InSAR (E-MTInSAR) Noise-Filtering Algorithm

Remote Sensing, 2019
In this work, the statistical fundaments of the recently proposed enhanced, multi-temporal interferometric synthetic aperture radar (InSAR) noise-filtering (E-MTInSAR) technique is addressed. The adopted noise-filtering algorithm is incorporated into the
Antonio Pepe
doaj   +1 more source

A fusion framework of 3D physical model and InSAR monitoring for mining-induced deformation analysis

International Journal of Applied Earth Observations and Geoinformation
Underground resource extraction redistributes subsurface stress, inducing overburden movement and ground deformation. These geomechanical changes can cause ground fissures, slope failures, and collapses, resulting in resource loss, economic damage ...
Teng Wang, Yunjia Wang, Feng Zhao, Sen Du, Nianbin Zhang, Kewei Zhang, Zhongwei Shen, José Fernández   +7 more
doaj   +1 more source

Spatio-temporal analysis of subsiding districts in Balochistan, Pakistan using Multi-Sensor SBAS InSAR and GNSS

Natural Hazards
Land Subsidence (LS) is one of the critical environmental hazards reported in many countries worldwide with prominent examples from Mexico City (Mexico), Houston (US), Beijing (China), and Jakarta (Indonesia).
Najeebullah Kakar, Chaoying Zhao, Guangrong Li, Zhijie Zhang, Bright Adoko   +4 more
semanticscholar   +1 more source

Present-day deformation of Agung volcano, Indonesia, as determined using SBAS-InSAR

Geodesy and Geodynamics, 2013
Abstract:Based on ALOS PALSAR images, time series deformation fields of the Agung volcano area were obtained using SBAS-InSAR in 2007–2009. The time series deformation showed obvious inflation around the Agung volcano area, which was positively correlated with time.
Ji Lingyun, Wang Qingliang, Qin Shanlan
openaire   +2 more sources

SBAS-InSAR Based Deformation Monitoring of Tailings Dam: The Case Study of the Dexing Copper Mine No.4 Tailings Dam. [PDF]

Sensors (Basel), 2023
Xie W, Wu J, Gao H, Chen J, He Y.
europepmc   +1 more source

Identifying Potential Landslides in Low-Coherence Areas Using SBAS-InSAR: A Case Study of Ninghai County, China

Geosciences
The southeastern coastal regions of China are characterized by typical hilly terrain with abundant rainfall throughout the year, leading to frequent geological hazards.
Jin Xu, Shijie Ge, Chunji Zhuang, Xixuan Bai, Jianfeng Gu, Bingqiang Zhang   +5 more
doaj   +1 more source

Identification of Landslides in Mountainous Area with the Combination of SBAS-InSAR and Yolo Model. [PDF]

Sensors (Basel), 2022
Guo H, Yi B, Yao Q, Gao P, Li H, Sun J, Zhong C.   +6 more
europepmc   +1 more source

Analysis of land subsidence caused by hydrodynamic force in Loess Hilly and gully region based on SBAS-InSAR. [PDF]

PLoS One, 2023
Liu X, Ma C, Ling H, Yan W, Zhang H, Jiang X.   +5 more
europepmc   +1 more source