Results 1 to 10 of about 947 (161)

Land Subsidence Monitoring Method in Regions of Variable Radar Reflection Characteristics by Integrating PS-InSAR and SBAS-InSAR Techniques

open access: yesRemote Sensing, 2022
In the InSAR solution, the uneven distribution of permanent scatterer candidates (PSCs) or slowly decoherent filtering phase (SDFP) pixel density in a region of variable radar reflection feature can cause local low accuracy in single interferometry. PSCs
Peng Zhang, Shuangfeng Guo
exaly   +3 more sources

An Improved SBAS-InSAR Processing Method Considering Phase Consistency: Application to Landslide Monitoring in Hualong County, Qinghai Province, China [PDF]

open access: yesSensors
Phase consistency is a critical prerequisite for achieving high-precision time-series InSAR deformation retrieval. However, conventional SBAS-InSAR methods provide only limited consideration of phase consistency during the inversion process.
Wulinhong Luo   +8 more
doaj   +2 more sources

Landslide Susceptibility Mapping with Integrated SBAS-InSAR Technique: A Case Study of Dongchuan District, Yunnan (China) [PDF]

open access: yesSensors, 2022
Landslide susceptibility maps (LSM) are often used by government departments to carry out land use management and planning, which supports decision makers in urban and infrastructure planning. The accuracy of conventional landslide susceptibility maps is
Zhifu Zhu   +3 more
doaj   +2 more sources

Assessing the Use of GACOS Products for SBAS-InSAR Deformation Monitoring: A Case in Southern California [PDF]

open access: yesSensors, 2019
The Generic Atmospheric Correction Online Service (GACOS) products for interferometric synthetic aperture radar (InSAR) are widely used near-real-time and global-coverage atmospheric delay products which provide a new approach for the atmospheric ...
Qijie Wang   +3 more
doaj   +2 more sources

Monitoring and analysis of ground subsidence in Shanghai based on PS-InSAR and SBAS-InSAR technologies [PDF]

open access: yesScientific Reports, 2023
Shanghai is susceptible to land subsidence due to its unique geological environment and frequent human activities. Traditional leveling techniques are not sufficient for monitoring large areas of land subsidence due to the time-consuming, labor-intensive,
Zhihua Zhang   +5 more
doaj   +2 more sources

Monitoring Land Subsidence in Wuhan City (China) using the SBAS-InSAR Method with Radarsat-2 Imagery Data [PDF]

open access: yesSensors, 2019
Wuhan city is the biggest city in central China and has suffered subsidence problems in recent years because of its rapid urban construction. However, longtime and wide range monitoring of land subsidence is lacking. The causes of subsidence also require
Yang Zhang   +8 more
doaj   +2 more sources

Adaptive High Coherence Temporal Subsets SBAS-InSAR in Tropical Peatlands Degradation Monitoring

open access: yesRemote Sensing, 2023
Peatlands in Southeast Asia have been undergoing extensive and rapid degradation in recent years. Interferometric Synthetic Aperture Radar (InSAR) technology has shown excellent performance in monitoring surface deformation.
Xiaohan Zheng   +6 more
doaj   +2 more sources

Calculation method for mining subsidence combining probability integral method and SBAS-InSAR

open access: yes矿业科学学报
To address the issues of local optima and inaccurate edge subsidence predictions in the parameter inversion process of the mining subsidence probability integral method, the authors propose applying the dung beetle optimizer algorithm to invert ...
DING Xingcheng   +5 more
doaj   +2 more sources

Mapping Surface Deformation in Rwanda and Neighboring Areas Using SBAS-InSAR

open access: yesRemote Sensing
Surface deformation poses significant risks to urban infrastructure, agriculture, and the environment in many regions worldwide, including Rwanda and the neighboring areas.
Adrien Mugabushaka   +7 more
doaj   +2 more sources

Research on the Applicability of DInSAR, Stacking-InSAR and SBAS-InSAR for Mining Region Subsidence Detection in the Datong Coalfield

open access: yesRemote Sensing, 2022
Intensive and large-scale underground coal mining has caused geological disasters such as local ground subsidence, cracks and collapse in the Datong coalfield, China, inducing serious threats to local residents.
Yaozong Xu   +5 more
doaj   +1 more source

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