Impact of the Ionosphere on an L-Band Space Based Radar

Chapin, Elaine; Chan, S.; Chapman, B.; Chen, C.W.; Martin, Jan M. L.; Michel, Thierry; Muellerschoen, Ron; Pi, Xiaoqing; Rosen, P. A.

doi:10.1109/radar.2006.1631775

Cited by 33 publications

(18 citation statements)

References 19 publications

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“…In addition, there will be long-wavelength contribution from orbit error. Separation of the ionospheric and orbital error will require the analysis of many more interferograms in concert with phase-error estimates derived from total electron concentration of the ionosphere [12]. All of these results will be helpful in optimizing future interferometric satellites such as DESDynI for the recovery of crustal-deformation signals.…”

Section: A Unique Capabilities Of Palsarmentioning

confidence: 99%

Accuracy and Resolution of ALOS Interferometry: Vector Deformation Maps of the Father's Day Intrusion at Kilauea

Sandwell

Myer

Mellors

et al. 2008

IEEE Trans. Geosci. Remote Sensing

145

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Section: A Unique Capabilities Of Palsarmentioning

confidence: 99%

Accuracy and Resolution of ALOS Interferometry: Vector Deformation Maps of the Father's Day Intrusion at Kilauea

Sandwell

Myer

Mellors

et al. 2008

IEEE Trans. Geosci. Remote Sensing

145

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“…Furthermore, an additional contribution to the path delay is related to ionospheric heterogeneities, which can significantly differ from the tropospheric artefacts [87][88][89][90]. Simple models that describe the APS phase statistics in single interferograms and a noise co-variance model for InSAR time-series is provided in [91].…”

Section: Insar Technique For the Estimation Of Surface Displacementsmentioning

confidence: 99%

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

2017

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Synthetic Aperture RADAR Interferometry (InSAR) provides a unique tool for the quantitative measurement of the Earth's surface deformations induced by a variety of natural (such as volcanic eruptions, landslides and earthquakes) and anthropogenic (e.g., ground-water extraction in highly-urbanized areas, deterioration of buildings and public facilities) processes. In this framework, use of InSAR technology makes it possible the long-term monitoring of surface deformations and the analysis of relevant geodynamic phenomena. This review paper provides readers with a general overview of the InSAR principles and the recent development of the advanced multi-track InSAR combination methodologies, which allow to discriminate the 3-D components of deformation processes and to follow their temporal evolution. The increasing availability of SAR data collected by complementary illumination angles and from different RADAR instruments, which operate in various bands of the microwave spectrum (X-, L-and C-band), makes the use of multi-track/multi-satellite InSAR techniques very promising for the characterization of deformation patterns. A few case studies will be presented, with a particular focus on the recently proposed multi-track InSAR method known as the Minimum Acceleration (MinA) combination approach. The presented results evidence the validity and the relevance of the investigated InSAR approaches for geospatial analyses.

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“…Recently, global ionospheric maps (GIMs) of TEC have been used in a sensitivity study for a future L-band single-pass interferometric SAR mission [11]. The 15-min average TECU values derived from about 100 GPS stations distributed globally, providing global maps with roughly 500-km resolution, were used to estimate TEC at different times of the day and different locations.…”

Section: Ionospherementioning

confidence: 99%

“…For L-band or long strips, it seems more reasonable to include the ionosphere as an error source using an approach similar to the one used for the troposphere. Indications on the associated power law and how it can be tuned are given in [11].…”

Section: Ionospherementioning

confidence: 99%

An Error Prediction Framework for Interferometric SAR Data

Mohr

Boncori

2008

IEEE Trans. Geosci. Remote Sensing

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Abstract-Three of the major error sources in interferometric synthetic aperture radar measurements of terrain elevation and displacement are baseline errors, atmospheric path length errors, and phase unwrapping errors. In many processing schemes, these errors are calibrated out by using ground control points (GCPs) (or an external digital elevation model). In this paper, a simple framework for the prediction of error standard deviation is outlined and investigated. Inputs are GCP position, a priori GCP accuracy, baseline calibration method along with a closed-form model for the covariance of atmospheric path length disturbances, and a model for phase unwrapping errors. The procedure can be implemented as a stand-alone add-on to standard interferometric processors. It is validated by using a set of single-frame interferograms acquired over Rome, Italy, and a double difference data set over Flevoland, The Netherlands.Index Terms-Atmospheric disturbances, baseline error, calibration, interferometry, phase unwrapping error, synthetic aperture radar (SAR), systematic errors.

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Impact of the Ionosphere on an L-Band Space Based Radar

Cited by 33 publications

References 19 publications

Accuracy and Resolution of ALOS Interferometry: Vector Deformation Maps of the Father's Day Intrusion at Kilauea

Accuracy and Resolution of ALOS Interferometry: Vector Deformation Maps of the Father's Day Intrusion at Kilauea

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

An Error Prediction Framework for Interferometric SAR Data

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