2022
DOI: 10.1016/j.jag.2021.102671
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On the influence of acquisition geometry in backscatter time series over wheat

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Cited by 2 publications
(4 citation statements)
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“…3f) shows the influence of the incidence angle remains. This finding is consistent with the finding of (Arias et al, 2022). The LOWESS was applied to the VH, VV, VH-VV and VH+VV backscatters parameter (Fig.…”
Section: Backscatter Post-processing Using Data Reduction Algorithmsupporting
confidence: 90%
See 1 more Smart Citation
“…3f) shows the influence of the incidence angle remains. This finding is consistent with the finding of (Arias et al, 2022). The LOWESS was applied to the VH, VV, VH-VV and VH+VV backscatters parameter (Fig.…”
Section: Backscatter Post-processing Using Data Reduction Algorithmsupporting
confidence: 90%
“…Sentinel-1 satellite images have been utilized in many studies to monitor the growth in biomass of winter wheat (Kumar et al, 2018), green area index (Veloso et al, 2017), leaf area index (Ouaadi et al, 2021), plant height (Kumar et al, 2018), crop water content (Han et al, 2019), and phenology (Schlund & Erasmi, 2020). However, all these studies have used a relatively small study area and only involved single or few orbit passes images which can bypass the backscatter bias due to incidence angle difference and geometry effects (Arias et al, 2022). Gorrab et al, (2021) reported that no impact of using 2 orbit passes and incidence angles in estimating winter wheat vegetation variables in their experiment.…”
Section: Introductionmentioning
confidence: 99%
“…While the orbits 88, 37 and 139 show a stronger bimodal distribution in co-polarization, orbit 15 has a more down-skewed distribution. In this regard, the influence of both incidence angle as well as ascending and descending orbit is still present and is similar to previous studies [71,86]. As the influence depends on surface and vegetation parameters, e.g., surface roughness, vegetation biomass, canopy height, plant geometry and phenology, a crop specific normalization could improve the results.…”
Section: Incidence Angle Normalizationsupporting
confidence: 86%
“…Although the time series was incidence angle normalized, co-polarized signals are still differently affected by the incidence angle over the season. Using the CRNP station Aachen (RU_C_006) as an example, the co-polarized signal is mostly affected during the nonvegetation period from October to March, as observed in previous studies [86], resulting in a soil moisture range of 0.75 m 3 /m 3 for this period and 0.43 m 3 /m 3 for the other months (Figure 7). Looking at the in-situ soil moisture range of these periods, the lowest variability can be observed during the non-vegetation times from October to March with a mean soil moisture range of 0.120 m 3 /m 3 , while more variations occur during the remaining months with around 0.282 m 3 /m 3 .…”
Section: Fourier Series Transformationsupporting
confidence: 68%