Figure 2 - uploaded by Anurag Kulshrestha
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(a) Single-master baseline network. The master SAR acquisition on 28 October 2020 and all slave acquisitions are indicated by the star and circle, respectively. (b) Multi-master baseline network, and (c) temperature in black and precipitation data in blue.
Source publication
Extracting meaningful attributes of radar scatterers from SAR images, PAZ in our case, facilitates a better understanding of SAR data and physical interpretation of deformation processes. The attribute categories and attribute extraction method are not yet thoroughly investigated. Therefore, this study recognizes three attribute categories: geometr...
Contexts in source publication
Context 1
... maximum time interval is 66 days and occurs between 01 August 2020 and 06 October 2020. We selected the SAR image acquired on 28 October 2020 as the master, indicated by the star in Figure 2a, because there was no rain (see Figure 2c) in blue) and its SAR stack coherence using Equation (A1) [34] is the highest. The perpendicular baseline of all 29 slave acquisitions shown in the black circle w.r.t. the master ranges [−173, 203] m. ...
Context 2
... maximum time interval is 66 days and occurs between 01 August 2020 and 06 October 2020. We selected the SAR image acquired on 28 October 2020 as the master, indicated by the star in Figure 2a, because there was no rain (see Figure 2c) in blue) and its SAR stack coherence using Equation (A1) [34] is the highest. The perpendicular baseline of all 29 slave acquisitions shown in the black circle w.r.t. the master ranges [−173, 203] m. ...
Context 3
... on 14 January 2022). Note that the temperature in black and precipitation data in blue were downsampled in order to associate with the 30 PAZ SAR acquisitions; see Figure 2c). It means that we only used the temperature recorded at 5 PM and cumulative precipitation between 1 AM and 5 PM at every SAR acquisition date. ...
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... value of 0.35 was determined based on the experimental analysis, during which we tested the coherence values ranging between 0.25 and 0.55. Consequently, 181 interferograms in HH and VV were created, respectively, for SBAS; see Figure 2b). The acquisition information of these 181 interferograms is listed in Table A1. ...
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... deformation map of all IMPs is shown in Figure 9(c.1), with a mean deformation rate of −1.7 mm y −1 and a maximum subsidence rate of 4.3 mm y −1 . Assuming all double bounce scatterers are reflected from railway infrastructure such as rail tracks, we show the deformation time series of the double bounce IMPs in HH and VV in Figure 9(c.2,c.3). We found that all IMPs in HH and VV follow the linear deformation model, and the deformation trends of them in HH and VV are almost in concert. ...
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... the temporal variation of these two feature values seldom takes the feature values to the the partition of other classes, which can be seen in Figure 10d,e as well. For these instances, we also found that as the precipitation dramatically increased to 42.4 mm on 05 June 2021 from 0 mm on 14 May 2021, pointed out by the black arrow in Figure 2c, the values of these two features for IMPs with surface scattering character indicated by the blue square-line rose accordingly, by 16.6 dB for |S HH | 2 + |S VV | 2 and 9.6 dB for σ • HH indicated by the black arrow in Figure 10d,e. We suspect that surface soil reflection of such surface IMPs is enhanced, possibly related to the increase in soil moisture, and temporal evolution of (some) surface IMPs resonates with the changes in precipitation cf. ...
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