Results 71 to 80 of about 59,582 (306)

Slip distribution of the 2017 M(w)6.6 Bodrum-Kos earthquake: resolving the ambiguity of fault geometry [PDF]

open access: yes, 2019
SUMMARY The 2017 July 20, Mw6.6 Bodrum–Kos earthquake occurred in the Gulf of Gökova in the SE Aegean, a region characterized by N–S extension in the backarc of the easternmost Hellenic Trench.
Dogan, Ugur   +9 more
core   +1 more source

Monitoring and Stability Analysis of the Deformation in the Woda Landslide Area in Tibet, China by the DS-InSAR Method

open access: yesRemote Sensing, 2022
The Woda area in the upper Jinsha River has steep terrain and broken structures, causing landslide disasters frequently. Here, we used the distributed scatterer interferometric SAR (DS-InSAR) method to monitor and analyze the Woda landslide area.
Youfeng Liu   +4 more
semanticscholar   +1 more source

Monitoring of Masjed-Soleiman embankment dam’s deformation using a combination of Interferometric Synthetic Aperture Radar (InSAR) and finite element modeling

open access: yesGeodesy and Cartography, 2017
The fresh water shortage is one the most important challenges in many countries like Iran. So there have been incentives to manipulate and manage water resources by constructing dams. Clay core embankments are one of the most popular dam structures.
Saeed Aminjafari
doaj   +1 more source

A systematic study of earthquake detectability using Sentinel-1 Interferometric Wide-Swath data [PDF]

open access: yes, 2017
The Sentinel-1 mission comprises two synthetic aperture radar satellites, each with a 12 day orbital repeat, orbiting 6 days apart within a narrow tube.
Funning, Gareth J, Garcia, Astrid
core   +2 more sources

Co-Seismic Deformation and Fault Slip Model of the 2017 Mw 7.3 Darbandikhan, Iran–Iraq Earthquake Inferred from D-InSAR Measurements

open access: yesRemote Sensing, 2019
The 12 November 2017 Darbandikhan earthquake (Mw 7.3) occurred along the converence zone. Despite the extensive research on this earthquake, none of this work explained whether this earthquake rupture was limited to the thick sedimentary cover or it ...
Zicheng Huang   +5 more
doaj   +1 more source

Geodetic model of the 2016 Central Italy earthquake sequence inferred from InSAR and GPS data [PDF]

open access: yes, 2017
We investigate a large geodetic data set of interferometric synthetic aperture radar (InSAR)and GPS measurements to determine the source parameters for the three main shocks of the 2016Central Italy earthquake sequence on 24 August and 26 and 30 October (
A. Antonioli   +71 more
core   +2 more sources

DRs-UNet: A Deep Semantic Segmentation Network for the Recognition of Active Landslides from InSAR Imagery in the Three Rivers Region of the Qinghai-Tibet Plateau

open access: yesRemote Sensing, 2022
At present, Synthetic Aperture Radar Interferometry (InSAR) has been an important technique for active landslides recognition in the geological survey field.
Ximing Chen   +5 more
semanticscholar   +1 more source

Earthquake source parameters of the 2009 Mw 7.8 Fiordland (New Zealand) earthquake from L-band InSAR observations [PDF]

open access: yes, 2011
The 2009 MW7.8 Fiordland (New Zealand) earthquake is the largest to have occurred in New Zealand since the 1931 Mw 7.8 Hawke’s Bay earthquake, 1 000 km to the northwest.
Li, Z., Qin, Z., Qu, W., Young, K.
core   +1 more source

Atmospheric Effects on InSAR Measurements and Their Mitigation [PDF]

open access: yesSensors, 2008
Interferometric Synthetic Aperture Radar (InSAR) is a powerful technology for observing the Earth surface, especially for mapping the Earth's topography and deformations. InSAR measurements are however often significantly affected by the atmosphere as the radar signals propagate through the atmosphere whose state varies both in space and in time. Great
Ding, XL   +4 more
openaire   +5 more sources

Identification and risk assessment of coal mining-induced landslides in Guizhou Province by InSAR and optical remote sensing

open access: yesDizhi lixue xuebao, 2022
The Zongling landslide group in Guizhou Province is characterized by strong regularity of disaster formation, concentrated development and severe threat.
ZHU Yifei   +5 more
doaj   +1 more source

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