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
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Integration of InSAR and numerical modelling to assess tailings pond slope deformation affected by reservoir water. [PDF]
Lu L, Li M, Chao L.
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Assessment of land subsidence and future flood hazards for coastal cities of the Gulf of Mexico using time series InSAR. [PDF]
Yuan Y, Wang L.
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Deep Learning Meets InSAR for Infrastructure Monitoring: A Systematic Review of Models, Applications, and Challenges. [PDF]
Fontes M, BakoĊ M, Cunha A, Sousa JJ.
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Spatiotemporal prediction of mining-induced surface subsidence using integrated D-InSAR and boltzmann time function models. [PDF]
Zhou W +5 more
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Spatiotemporal deformation trend assessment based on ICOPS and ICA methods using multitemporal InSAR data in industrial development zones. [PDF]
Fadhillah MF +8 more
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Abrupt transition to irreversible damage in the overdrafted Sacramento Valley aquifer system. [PDF]
Larochelle S +9 more
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Surface Deformation Analysis in Jiuzhaigou, China Using SBAS-InSAR Technique
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021In this paper, the surface deformation of Jiuzhaigou County is analyzed. The ascending ALOS-2 data of 15 scenes from December, 2017 to September, 2019 is used, and the results of surface deformation in time series are extracted by the small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technique. The monitoring results show that
Xingyu Lu +3 more
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Sequential Estimation of Dynamic Deformation Parameters for SBAS-InSAR
IEEE Geoscience and Remote Sensing Letters, 2020The synthetic aperture radar (SAR) interferometry (InSAR) has been developed for more than 20 years for historical surface deformation reconstruction. In particular, the onboard Sentinel-1/A/B satellite, newly planned NASA-ISRO SAR (NISAR), and Germany Tandem-L will continue to provide unprecedented SAR data with an increased number of acquisitions ...
Baohang Wang +5 more
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Non-differential water vapor estimation from SBAS-InSAR
Journal of Atmospheric and Solar-Terrestrial Physics, 2020Abstract Water vapor is the most variable constituent in the atmosphere and plays an important role in climate studies, mesoscale meteorology modeling and numerical weather forecasting. Being able to penetrate clouds, interferometric synthetic aperture radar (InSAR) shows great potential in atmospheric water vapor mapping.
Meng Duan +7 more
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