Times series InSAR deformation monitoring of Jinchuan mining area based on mini stack technology. [PDF]
Guo J +6 more
europepmc +1 more source
Esta investigación presenta un esquema de trabajo para determinar la subsidencia del terreno mediante el uso de imágenes satelitales SENTINEL-1 y el procesamiento con el software SNAP.
Jaime Adrián Peralta-Delgado +4 more
doaj
Enhanced Landslide Monitoring in Complex Mountain Terrain Using Distributed Scatterer InSAR and Phase Optimization: A Case Study in Zhenxiong, China. [PDF]
Liang J +5 more
europepmc +1 more source
From Deformation Monitoring to Mechanism Insight: Assessing Sudden Subsidence Risk via an Improved 2D SBAS-InSAR and Physical Modeling Approach. [PDF]
Du Q +6 more
europepmc +1 more source
Deep Learning Meets InSAR for Infrastructure Monitoring: A Systematic Review of Models, Applications, and Challenges. [PDF]
Fontes M, Bakoň M, Cunha A, Sousa JJ.
europepmc +1 more source
Integration of InSAR and numerical modelling to assess tailings pond slope deformation affected by reservoir water. [PDF]
Lu L, Li M, Chao L.
europepmc +1 more source
An Improved SBAS-InSAR Processing Method Considering Phase Consistency: Application to Landslide Monitoring in Hualong County, Qinghai Province, China. [PDF]
Luo W +8 more
europepmc +1 more source
Monitoring deformation of seasonally frozen Yellow River bank soil: A synergetic application of the SBAS InSAR approach. [PDF]
Mao Y, Ji H, Yang Z.
europepmc +1 more source
Landslide Susceptibility Evaluation Integrating Machine Learning and SBAS-InSAR-Derived Deformation Characteristics: A Case Study of Yining County, Xinjiang. [PDF]
Ma T, Yi X, Ci H, Wang R, Yang H, Yan Z.
europepmc +1 more source
Delineating the Central Anatolia Transition Zone (CATZ): Constraints from Integrated Geodetic (GNSS/InSAR) and Seismic Data. [PDF]
Kutoğlu ŞH, Akgün E, Softa M.
europepmc +1 more source

