Results 31 to 40 of about 87,199 (308)
Interferometric synthetic aperture radar atmospheric correction: Medium Resolution Imaging Spectrometer and Advanced Synthetic Aperture Radar integration [PDF]
Geophysical Research Letters, 2006 Atmospheric water vapor effects represent one of the major limitations of repeat‐pass InSAR, and limit the accuracy of deformation rates derived from InSAR. The use of contemporaneous MERIS data to correct ENVISAT ASAR measurements shows a significant reduction in water vapor effects.
Li Z, Fielding E, Cross P, Muller J-P
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Urban Sensing with Spaceborne Interferometric Synthetic Aperture Radar [PDF]
, 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
Liang, H +4 more
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Remote Sensing, 2020 From a geological standpoint, northern Pakistan is one of the most active and unstable areas in the world. As a consequence, many massive landslides have occurred in the area in historical times that have destroyed infrastructure, blocked the Hunza River,
M. Rehman +9 more
semanticscholar +1 more source
Glaciological advances made with interferometric synthetic aperture radar [PDF]
Journal 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 ...
Ian Joughin +2 more
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Some thoughts on the use of InSAR data to constrain models of surface deformation: Noise structure and data downsampling [PDF]
, 2005 Repeat-pass Interferometric Synthetic Aperture Radar (InSAR) provides spatially dense maps of surface deformation with potentially tens of millions of data points. Here we estimate the actual covariance structure of noise in InSAR data.
Lohman, Rowena B., Simons, Mark
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Generic Atmospheric Correction Model for Interferometric Synthetic Aperture Radar Observations
Journal of Geophysical Research: Solid Earth, 2018 For mapping Earth surface movements at larger scale and smaller amplitudes, many new synthetic aperture radar instruments (Sentinel‐1A/B, Gaofen‐3, ALOS‐2) have been developed and launched from 2014–2017, and this trend is set to continue with Sentinel ...
Chen Yu +3 more
semanticscholar +1 more source
The 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
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Minimizing the residual topography effect on interferograms to improve DInSAR results: estimating land subsidence in Port-Said City, Egypt [PDF]
, 2017 The accurate detection of land subsidence rates in urban areas is important to identify damage-prone areas and provide decision-makers with useful information.
Darwish, Noura +2 more
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Mathematical Geosciences, 2021 Recent advances in satellite technologies, statistical and mathematical models, and computational resources have paved the way for operational use of satellite data in monitoring and forecasting natural hazards.
Mara S. Bernardi +5 more
semanticscholar +1 more source
Deep Learning for InSAR Phase Filtering: An Optimized Framework for Phase Unwrapping
Remote 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