Results 111 to 120 of about 14,335,356 (228)
Abstract The 2025 Santorini–Amorgos seismic crisis in Greece had an exceptionally large number and sustained rate of moderate‐sized earthquakes. We used a machine‐learning‐based earthquake monitoring workflow to detect and relocate 66,109 earthquakes and interpret the results in the context of global analogs.
Xing Tan +4 more
wiley +1 more source
Risk Assessment of Geological Landslide Hazards Using D-InSAR and Remote Sensing
Landslide geological disasters, occurring globally, often result in significant loss of life and extensive economic damage. In recent years, the severity of these disasters has increased, likely due to the frequent occurrence of extreme rainstorms associated with global warming.
Jiaxin Zhong +4 more
openaire +3 more sources
Abstract Imaging magma storage beneath active calderas requires resolving crustal structure at scales comparable to those of individual reservoirs. To identify potential reservoirs beneath Kı̄lauea, Hawai'i, we conducted a hybrid seismic experiment at its summit for 37 days in 2023 that combined more than 1,800 three‐component nodal seismometers with ...
Guoqing Lin +7 more
wiley +1 more source
Tracking Slow‐Moving Landslide Responses to the 2023 Kahramanmaraş Earthquake With InSAR
Abstract Strong earthquakes can have a dual impact on the slow‐moving landslide budget of a landscape by either triggering new actively deforming hillslopes or stabilizing existing ones. However, their regional‐scale influence on hillslope processes remains poorly understood because of limited observational coverage and the masking effects of long ...
Ashok Dahal +4 more
wiley +1 more source
Dual Pol-InSAR Forest Height Estimation By Means Of TANDEM-X Data [PDF]
The TanDEM-X mission [1] provides for the first time single pass (single- and dual-) polarimetric interferometric data from space. This allows the acquisition and analysis of Pol-InSAR data without the disturbing effect of temporal decorrelation on a ...
Hajnsek, Irena +2 more
core
Estimation of 3-D Surface Displacement Based on InSAR and Deformation Modeling
A new approach is presented for mapping 3-D surface displacement caused by subsurface fluid volumetric change based on 1-D interferometric synthetic aperture radar (InSAR) line-of-sight measurements and surface deformation modeling.
Sun, Qian +6 more
core +1 more source
Accurate monitoring of surface subsidence in mining areas is crucial for disaster prevention. To enhance the accuracy of surface subsidence monitoring in mining areas, this study employs GNSS data as a reference and utilizes Sentinel-1A SAR imagery to ...
Da Luo, Huaibao Wang
doaj +1 more source
Detection of underground mining induced land subsidence using Differential Interferometric SAR (D-InSAR) in Jharia coalfields [PDF]
Mining induced land subsidence is very common in the areas of extensive underground coal mining which affects the overall geo-environmental scenario of the area.
Borah, Suranjana Bhaswati +2 more
core +1 more source
Differential interferometry (D-InSAR) is a technique to measure slow terrain movements at subwavelength scale by means of multiple SAR acquisitions. This paper presents the state-of-the-art concerning airborne D-InSAR.
Wimmer, Christian +6 more
core
Impacts of Temporal-Spatial Variant Background Ionosphere on Repeat-Track GEO D-InSAR System
An L band geosynchronous synthetic aperture radar (GEO SAR) differential interferometry system (D-InSAR) will be obviously impacted by the background ionosphere, which will give rise to relative image shifts and decorrelations of the SAR interferometry ...
Yuanhao Li +4 more
core +1 more source

