Detections and simulations of tropospheric water vapor fluctuations due to trapped lee waves by ALOS-2/PALSAR-2 ScanSAR interferometry

Kinoshita, Y.; Morishita, Yu; Hirabayashi, Yukiko

doi:10.1186/s40623-017-0690-7

Cited by 5 publications

(4 citation statements)

References 54 publications

(57 reference statements)

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“…In our study area, the topography surrounding the basin varies from ~1km in eastern Taihang Mountains to ~3 km in western Lvliang Mountains. Such significant waves (Kinoshita et al, 2017). The correlation coefficient is only -0.07 in the uncorrected interferogram and it increases to 0.33 after correction, indicating that GACOS incorrectly introduced a phase-elevation dependence into the result.…”

Section: Gacos-assisted Small Baseline Insar Methodsmentioning

confidence: 92%

Land subsidence and rebound in the Taiyuan basin, northern China, in the context of inter-basin water transfer and groundwater management

Tang

Zhao

Motagh

et al. 2022

Remote Sensing of Environment

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Section: Gacos-assisted Small Baseline Insar Methodsmentioning

confidence: 92%

Land subsidence and rebound in the Taiyuan basin, northern China, in the context of inter-basin water transfer and groundwater management

Tang

Zhao

Motagh

et al. 2022

Remote Sensing of Environment

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“…Atmospheric influences are a significant cause of mistakes in interferometric product interpretation in regards to topography and displacement. Several investigations have indicated that the water vapour distribution in the subtropics is responsible for the majority of the atmospheric signal in interferometric products [7]. One of the InSAR community's concerns is filtering tropospheric delays, where spatial and temporal oscillations predominantly induce tropospheric signal imperfection in InSAR data.…”

Section: Introductionmentioning

confidence: 99%

Correcting Atmospheric Effects on the InSAR Measurements using GPS Data

Latip

Ansar²,

Din³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The effect of the atmospheric error in the spaceborne synthetic aperture radar (SAR) signal is more prominent in Malaysia due to its hot and wet conditions. Because the atmospheric error is believed to happen constantly in space and randomly in time, low-pass filtering in space and high-pass filtering in time is employed to measure it. However, with few scenes, the filtering technique’s reliability in removing atmospheric error may be insufficient, leading to erroneous surface deformation. Therefore, an external atmospheric correction needs to be modelled to improve the accuracy of surface deformation. In this study, the atmospheric error correction was estimated from GPS and applied to the deformation analysis. The result shows that the atmospheric error level estimated from the filtering technique was –6.9 to 7.5 radians, while using GPS was -1.0 to 1.9 radians. After using the filtering process, the rate of deformation fell dramatically. However, compared to the reference deformation, the rate was too low, indicating that the filtering technique overstated the level of atmospheric error. At many data collections, the atmospheric correction calculated from GPS gave deformation values closer to the reference deformation. Hence, this study will help the researchers to model the atmospheric correction over the Malaysia region in future.

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“…Therefore, even if there is no surface displacement between two observations, InSAR phase information mainly reflects the effect of atmospheric water vapor. In sum, if the atmospheric delay signal and other contributions, such as the surface displacement and the ionospheric noise, can be adequately separated from the InSAR data, it is possible to obtain the water vapor distribution at a high spatial resolution in orders of tens to hundreds of meters, regardless of the weather conditions [14].…”

Section: Introductionmentioning

confidence: 99%

Error Evaluation of L-Band InSAR Precipitable Water Vapor Measurements by Comparison with GNSS Observations in Japan

Matsuzawa

Kinoshita

2021

Remote Sensing

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Interferometric synthetic aperture radar (InSAR) enables us to obtain precipitable water vapor (PWV) maps with high spatial resolution through the phase difference caused by refraction in the atmosphere. Although previous studies have evaluated the error level of InSARPWV observations, they validated it only with C-band InSARPWV observations. Since ionospheric disturbance seriously contaminates the InSAR phase in the case of the lower-frequency SAR system, it is necessary for a PWV error level evaluation correcting the ionospheric effect appropriately if we use lower-frequency SAR systems, such as the Advanced Land Observing Satellite-2 (ALOS-2). In this paper, we evaluated the error level of the L-band InSARPWV observation obtained from ALOS-2 data covering four areas in Japan. We compared the InSAR observations with global navigation satellite system (GNSS) atmospheric observations and estimated the L-band InSARPWV error value by utilizing the error propagation theory. As a result, the L-band InSARPWV absolute error reached 2.83 mm, which was comparable to traditional PWV observations. Moreover, we investigated the impacts of the seasonality, the interferometric coherence, and the height dependence on the PWV observation accuracy in InSAR.

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Detections and simulations of tropospheric water vapor fluctuations due to trapped lee waves by ALOS-2/PALSAR-2 ScanSAR interferometry

Cited by 5 publications

References 54 publications

Land subsidence and rebound in the Taiyuan basin, northern China, in the context of inter-basin water transfer and groundwater management

Land subsidence and rebound in the Taiyuan basin, northern China, in the context of inter-basin water transfer and groundwater management

Correcting Atmospheric Effects on the InSAR Measurements using GPS Data

Error Evaluation of L-Band InSAR Precipitable Water Vapor Measurements by Comparison with GNSS Observations in Japan

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