Results 61 to 70 of about 5,225 (186)

A Joint Inversion Algorithm of GNSS and InSAR for Continuous 3‐D Surface Velocities and Associated Horizontal Strain Rate Field

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 3, March 2026.
Abstract Simultaneous analyses of complementary GNSS and InSAR measurements may lead to breakthroughs in our understanding of crustal deformation. We present an algorithm that combines InSAR with GNSS measurements, in which the GNSS data can be used either as original station velocities or as an interpolated and smoothed velocity field, to estimate ...
Jeonghyeop Kim, Mradula Vashishtha, William E. Holt, Kyle D. Murray, Rowena B. Lohman   +4 more
wiley   +1 more source

Assessment of Mitigation Strategies for Tropospheric Phase Contributions to InSAR Time-Series Datasets over Two Nicaraguan Volcanoes

Remote Sensing, 2020
Interferometric Synthetic Aperture Radar (InSAR) studies of ground displacement are often plagued by tropospheric artifacts, which are phase delays resulting from spatiotemporal variations in the refractivity of air within the troposphere. In this study,
Kirsten J. Stephens, Christelle Wauthier, Rebecca C. Bussard, Machel Higgins, Peter C. LaFemina   +4 more
doaj   +1 more source

Fault Kinematics of the 2019–2026 Puerto Rico Earthquake Sequence: Conjugate Faulting Within a Zone of Oblique Subduction

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract The 2019–2026 southwestern Puerto Rico earthquake sequence has the characteristics of an earthquake swarm with over 9,000 events of Mw 2.5 or greater over an area of 1,500 km2, and the largest event is an Mw 6.4 on 7 January 2020. Previous studies have proposed two structural interpretations: (a) an E‐striking, N‐dipping normal fault hosting ...
Lei Sun, Xiaohua Xu, Paul Mann, Jean‐Claude Hippolyte   +3 more
wiley   +1 more source

Harnesing the InSAR Data Revolution: GMTSARHarnessing the InSAR data Revolution: GMTSAR

, 2020
GMTSAR is an open-source system for measuring land surface deformation from repeated synthetic aperture radar images.
openaire   +1 more source

Robust multibaseline InSAR optimization [PDF]

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Multibaseline SAR interferometry may face unmodeled interferometric phase such as unmodeled motion phase and uncompensated atmospheric phase, as well as non-Gaussian statistics in the context of distributed scatterer. We developed the robust InSAR optimization (RIO) [1] framework to systematically tackle these issues.
Wang, Yuanyuan, Zhu, Xiao Xiang
openaire   +3 more sources

Modeling the Deformation Response to Mt. Etna Sliding Flank

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract The southeastern flank of Mt. Etna volcano slides into the Ionian Sea at rates of centimeters per year. While gravitational spreading and tectonic forces can cause volcanic flank collapse, their effects intrinsically trade off with magmatic forcing. There is still strong uncertainty regarding the processes underlying the sliding.
Michelle Bensing, Sergio Vinciguerra, Giuseppe Puglisi, Luca De Siena   +3 more
wiley   +1 more source

Monitoring Flood Inundation Dynamics From Space

Reviews of Geophysics, Volume 64, Issue 1, March 2026.
Abstract With the increasing intensity and frequency of flood events worldwide, the need for accurate and timely inundation mapping has never been more critical. Large‐scale flood extent estimations are vital for coordinating effective disaster response, facilitating recovery, and building future resilience.
C. Campo, P. Tamagnone, S. Choy, T. D. Tran, G. J.‐P. Schumann, Y. Kuleshov   +5 more
wiley   +1 more source

Detecting Morphological Change From DInSAR Data in Ephemeral, Braided, Gravel Bed Rivers. Application to the Ungauged Trionto River, Italy

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Estimating morphological change in braided gravel bed rivers is important to determine the geometry of the active part of the braidplain, that is the width of the area where bed material is transported and the number of active branches during a certain time interval.
Valeria Guadagno, Giuseppe Del Giudice, Cristiana Di Cristo, Diego Di Martire, Angelo Leopardi, Matthew J. Czapiga, Enrica Viparelli   +6 more
wiley   +1 more source

2008年汶川地震震源区东北端局部形变区与青川MS6.4强余震关系

Dizhen xuebao, 2018
2008年汶川地震之后，通过InSAR观测到青川县木鱼镇附近存在一个长约为15 km、宽约为10 km、地表位移数十厘米的局部形变区。前人分析认为，该形变区是由MS6.4的青川强余震造成的，但拟合地表形变数据所采用的震源深度和震源机制解与地震学反演的结果具有较大差异。本文利用远震体波和瑞雷波振幅谱进一步测定了青川强余震的震源深度和震源机制解，计算了此次事件造成的地表位移场，认为青川强余震并非造成木鱼镇地区局部形变的直接原因，并讨论该局部形变区可能的成因。
Sidao Ni, Yong Zhou, Yunyi Qian, Xinyu Luo, Xiangteng Wang   +4 more
doaj   +1 more source

Two orders of wall‐to‐wall geographic data

Area, Volume 58, Issue 1, March 2026.
Short Abstract The use of the term ‘wall‐to‐wall’ to describe geographically extensive data without any singular definition in the remote sensing and geographically related analysis. This work presents an assessment of the application of the term in the scientific literature. Abstract From personal observations of recent published works, the term “wall‐
Pete Bettinger, Krista Merry, Roger C. Lowe III   +2 more
wiley   +1 more source