Interferometry Synthetic Aperture Radar(InSAR)provides unique capabilities to map regional/global topography and deformation of the Earth’s surface and has led to a broad spectrum of deformation monitoring applicatio...Interferometry Synthetic Aperture Radar(InSAR)provides unique capabilities to map regional/global topography and deformation of the Earth’s surface and has led to a broad spectrum of deformation monitoring applications.In order to adapt to various challenging monitoring environments,researchers have made tremendous innovations to deal with issues such as atmospheric and ionospheric effects,loss of coherence due to large displacements,geometric distortions and unwrapping errors.Owing to recent technical and methodological advances,the Earth’s surface deformation,ranging from earthquake ruptures,volcanic eruptions,landslides,glaciers,to groundwater storage variations,mining subsidence and infrastructure instability can now be mapped anywhere in the world at high spatial and temporal resolutions.This special issue received a set of contributions highlighting recent advances in methodologies and applications of InSAR to ground deformation monitoring.We aim to present overviews of both the state of the art of SAR/InSAR techniques and the next generation of applications across the broad range of deformation monitoring applications.展开更多
In DEM generation using interferometric synthetic aperture radar(InSAR),the ground control points(GCPs)for refinement and reflattening are usually selected by manual selection,field surveying,GPS points and existing b...In DEM generation using interferometric synthetic aperture radar(InSAR),the ground control points(GCPs)for refinement and reflattening are usually selected by manual selection,field surveying,GPS points and existing basemaps,which may not be completely suitable for consequent processes.We proposed a new method(auto-PS-GCP)of GCP selection based on permanent scatterers,which automatically defines the thresholds for the coherence,amplitude,and amplitude dispersion index to select permanent scatterer as the GCPs.The GCP thinning(auto-PS-GCP-Thin)was further conducted considering the point density,distances among points and terrain conditions.We used a three-stage assessment that includes:(1)phase stability and intensity of the GCPs,(2)RMSEs of the elevations between GCPs and homonymous points in the reference DEM,and(3)generated DEM accuracy.Three areas respectively in the plain,hilly and mountainous regions were selected to verify the proposed methods.The assessment using both SRTM DEM andICESat-2 points shows that the DEM accuracy of auto-PS-GCP-Thin was improved by 20%∼30%for different areas compared to the manual,where the best DEM accuracy of 4.71 m was found in the plain area.It is concluded that the proposed methods are effective and reliable in various areas with different terrain conditions.展开更多
基金National Natural Science Foundation of China(Nos.41941019,42174018).
文摘Interferometry Synthetic Aperture Radar(InSAR)provides unique capabilities to map regional/global topography and deformation of the Earth’s surface and has led to a broad spectrum of deformation monitoring applications.In order to adapt to various challenging monitoring environments,researchers have made tremendous innovations to deal with issues such as atmospheric and ionospheric effects,loss of coherence due to large displacements,geometric distortions and unwrapping errors.Owing to recent technical and methodological advances,the Earth’s surface deformation,ranging from earthquake ruptures,volcanic eruptions,landslides,glaciers,to groundwater storage variations,mining subsidence and infrastructure instability can now be mapped anywhere in the world at high spatial and temporal resolutions.This special issue received a set of contributions highlighting recent advances in methodologies and applications of InSAR to ground deformation monitoring.We aim to present overviews of both the state of the art of SAR/InSAR techniques and the next generation of applications across the broad range of deformation monitoring applications.
基金Supported by the National Key R&D Program of China(2021YFB3900105-2)the National Natural Science Foundation of China(42071371).
文摘In DEM generation using interferometric synthetic aperture radar(InSAR),the ground control points(GCPs)for refinement and reflattening are usually selected by manual selection,field surveying,GPS points and existing basemaps,which may not be completely suitable for consequent processes.We proposed a new method(auto-PS-GCP)of GCP selection based on permanent scatterers,which automatically defines the thresholds for the coherence,amplitude,and amplitude dispersion index to select permanent scatterer as the GCPs.The GCP thinning(auto-PS-GCP-Thin)was further conducted considering the point density,distances among points and terrain conditions.We used a three-stage assessment that includes:(1)phase stability and intensity of the GCPs,(2)RMSEs of the elevations between GCPs and homonymous points in the reference DEM,and(3)generated DEM accuracy.Three areas respectively in the plain,hilly and mountainous regions were selected to verify the proposed methods.The assessment using both SRTM DEM andICESat-2 points shows that the DEM accuracy of auto-PS-GCP-Thin was improved by 20%∼30%for different areas compared to the manual,where the best DEM accuracy of 4.71 m was found in the plain area.It is concluded that the proposed methods are effective and reliable in various areas with different terrain conditions.
