Results 21 to 30 of about 63,432 (250)

Advances in InSAR Imaging and Data Processing

open access: yesRemote Sensing, 2022
Through different phases of synthetic aperture radar (SAR) data acquired on different dates and/or at different satellite imaging locations, the interferometric SAR (InSAR) technique has long been used to map ground deformation or generate global digital
Lei Zhang, Zhong Lu
doaj   +1 more source

Glaciological advances made with interferometric synthetic aperture radar [PDF]

open access: yesJournal of Glaciology, 2010
AbstractSpaceborne interferometric synthetic aperture radar (InSAR) techniques for measuring ice flow velocity and topography have developed rapidly over the last decade and a half, revolutionizing the study of ice dynamics. Spaceborne interferometry has contributed to major progress in many areas of glaciological study by: providing the first ...
Waleed Abdalati, Ben Smith, Ian Joughin
openaire   +2 more sources

Deep Learning for InSAR Phase Filtering: An Optimized Framework for Phase Unwrapping

open access: yesRemote Sensing, 2022
Interferometric Synthetic Aperture Radar (InSAR) data processing applications, such as deformation monitoring and topographic mapping, require an interferometric phase filtering step.
Gianluca Murdaca   +2 more
doaj   +1 more source

SAR Interferometric Baseline Refinement Based on Flat-Earth Phase without a Ground Control Point

open access: yesRemote Sensing, 2020
Interferometric baseline estimation is a key procedure of interferometric synthetic aperture radar (SAR) data processing. The error of the interferometric baseline affects not only the removal of the flat-earth phase, but also the transformation ...
Bing Xu   +4 more
doaj   +1 more source

Ionospheric correction of ALOS-2 full-aperture ScanSAR interferometric data for surface deformation measurement in Beijing

open access: yesThe Journal of Engineering, 2019
Ionospheric disturbance is one of the most serious factors that limit the accuracy of deformation measurement of interferometric synthetic aperture radar (InSAR) especially for spaceborne SAR systems in low frequency such as L-band. Especially in imaging
Jiaqi Ning   +4 more
doaj   +1 more source

Urban Sensing with Spaceborne Interferometric Synthetic Aperture Radar [PDF]

open access: yes, 2021
AbstractSynthetic aperture radar (SAR) and interferometric SAR (InSAR) are state-of-the-art radar remote sensing technologies and are very useful for urban remote sensing. The technologies have some very special characteristics compared to optical remote sensing and are especially advantageous in cloudy regions due to the ability of the microwave radar
Songbo Wu   +4 more
openaire   +2 more sources

InSAR as a tool for monitoring hydropower projects: A review

open access: yesEnergy Geoscience, 2022
This paper provides a review of using Interferometric Synthetic Aperture Radar (InSAR), a microwave remote sensing technique, for deformation monitoring of hydroelectric power projects, a critical infrastructure that requires consistent and reliable ...
J. Aswathi   +4 more
doaj  

Editorial for the Special Issue: “Ground Deformation Patterns Detection by InSAR and GNSS Techniques”

open access: yesRemote Sensing, 2022
In the last two decades, the rapid growth in continuous Global Navigation Satellite Systems (GNSS) networks and improvements in Interferometric Synthetic Aperture Radar (InSAR) imaging allowed the acquisition of continuous and spatially extensive ...
Mimmo Palano
doaj   +1 more source

LOS Displacements of Mauna Loa volcano, Hawaii Island, as determined using SBAS-InSAR [PDF]

open access: yesE3S Web of Conferences, 2018
This paper presents an overview of the surface displacements retrieval capability of the Differential Synthetic Aperture Radar Interferometry algorithm, using Small Baseline Subset (SBAS) technique, in the context of active volcanic areas.
Grzesiak Karolina, Milczarek Wojciech J.
doaj   +2 more sources

Molybdenum isotopes unmask slab dehydration and melting beneath the Mariana arc

open access: yesNature Communications, 2021
A deep neural network is developed to automatically extract ground deformation from Interferometric Synthetic Aperture Radar time series. Applied to data over the North Anatolian Fault, the method can detect 2 mm deformation transients and reveals a slow
Hong-Yan Li   +7 more
doaj   +1 more source

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