InSAR datum connection using GNSS-augmented radar transponders

Mahapatra, P.; Marel, H. van der; Leijen, Freek van; Samiei-Esfahany, Sami; Klees, R.; Hanssen, Ramon F.

doi:10.1007/s00190-017-1041-y

Cited by 38 publications

(50 citation statements)

References 41 publications

(28 reference statements)

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“…Combining InSAR and GNSS deformation rates has also been studied in order to calibrate the InSAR-estimated velocities [11][12][13], and to help the limited geometric sensitivity of the SAR system in measuring deformation [14][15][16]. The integration of InSAR with other instrumentation such as active transponders has been investigated in order to design optimal geodetic networks that enhance the spatial distribution of the deformation measurements [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

A Covariance-Based Approach to Merging InSAR and GNSS Displacement Rate Measurements

2020

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This paper deals with the integration of deformation rates derived from Synthetic Aperture Radar Interferometry (InSAR) and Global Navigation Satellite System (GNSS) data. The proposed approach relies on knowledge of the variance/covariance of both InSAR and GNSS measurements so that they may be combined accounting for the spectral properties of their errors, hence preserving all spatial frequencies of the deformation detected by the two techniques. The variance/covariance description of the output product is also provided. A performance analysis is carried out on realistic simulated scenarios in order to show the boundaries of the technique. The proposed approach is finally applied to real data. Five Sentinel-1A/B stacks acquired over two different areas of interest are processed and discussed. The first example is a merged deformation map of the northern part of the Netherlands for both ascending and descending geometries. The second example shows the deformation at the junction between the North and East Anatolian Fault using three consecutive descending stacks.

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Section: Introductionmentioning

confidence: 99%

A Covariance-Based Approach to Merging InSAR and GNSS Displacement Rate Measurements

2020

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“…The development of active transponders is relatively new. Their performance was tested by Mahapatra et al (2013Mahapatra et al ( , 2017. These transponders transmit the radar signal, and thereby form an artificial 'controlled' PS.…”

Section: Insar/psimentioning

confidence: 99%

Subsidence in the Dutch Wadden Sea

Fokker

Leijen

Orlić

et al. 2018

Netherlands Journal of Geosciences

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Ground surface dynamics is one of the processes influencing the future of the Wadden Sea area. Vertical land movement, both subsidence and heave, is a direct contributor to changes in the relative sea level. It is defined as the change of height of the Earth's surface with respect to a vertical datum. In the Netherlands, the Normaal Amsterdams Peil (NAP) is the official height datum, but its realisation via reference benchmarks is not time-dependent. Consequently, NAP benchmarks are not optimal for monitoring physical processes such as land subsidence. However, surface subsidence can be regarded as a differential signal: the vertical motion of one location relative to the vertical motion of another location. In this case, the actual geodetic height datum is superfluous.In the present paper, we highlight the processes that cause subsidence, with specific focus on the Wadden Sea area. The focus will be toward anthropogenic causes of subsidence, and how to understand them; how to measure and monitor and use these measurements for better characterisation and forecasting; with some details on the activities in the Wadden Sea that are relevant in this respect. This naturally leads to the identification of knowledge gaps and to the formulation of notions for future research.

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“…Moreover, as the LOS measurements for a certain satellite data stack are all relative to an independent and predefined reference point and reference time, a datum connection is required to bring the stacks in a common datum, see [11] for further discussion on this topic. In practice, unless a dedicated geodetic reference point is available as in [18], the assumed smoothness of the deformation signals in space and time is used to choose a common reference point and relate the data to a common reference time. Note that the noise of the reference point is removed using the Shenzhen-algorithm proposed in [19].…”

Section: B Space-time Alignmentmentioning

confidence: 99%