The Use of C- and L-Band Repeat-Pass Interferometric SAR Coherence for Soil Moisture Change Detection in Vegetated Areas

Barrett, Brian; Whelan, Pádraig M.; Dwyer, Ned

doi:10.2174/1875413901205010037

Cited by 29 publications

(21 citation statements)

References 75 publications

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“…After SEASAT, interferometric features corresponding to moisture changes have been repeatedly observed in satellite SAR data (e.g. ERS, Envisat, ALOS, [2], [3], [4]) and in airborne and indoor experiments (e.g. [5], [6], [7]).…”

Section: Introductionmentioning

confidence: 94%

A SAR Interferometric Model for Soil Moisture

Zan

Parizzi

Prats-Iraola

et al. 2014

IEEE Trans. Geosci. Remote Sensing

155

115

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There is a need for scattering models that link quantitatively SAR interferometric observables to soil moisture. In this work we propose a model based on plane waves and the Born approximation, deriving first the vertical complex wavenumbers in the soil as a function of geometrical and dielectric properties and successively the complex interferometric coherences. It is observed that soil moisture behaves on the phase in a similar way as tomography does, breaking the phase consistency in triplets of interferograms. The proposed model is validated with L-band airborne SAR data; preliminary inversion results based on interferogram triplets and coherence magnitudes are presented.

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Section: Introductionmentioning

confidence: 94%

A SAR Interferometric Model for Soil Moisture

Zan

Parizzi

Prats-Iraola

et al. 2014

IEEE Trans. Geosci. Remote Sensing

155

115

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“…Nevertheless, coherence has not been applied to capture water table dynamics in peat or changes in soil humidity in peatlands and only SAR backscatter intensity [32,34,35] or phase measurements [32] have been tried previously. Addressing soil moisture estimation with InSAR coherence has been rare in any case [36][37][38]. However, the approximation of coherence decay to soil moisture differences was demonstrated by De Zan et al [36] in bare agricultural fields with L-band airborne SAR data.…”

Section: Introductionmentioning

confidence: 99%

“…However, the approximation of coherence decay to soil moisture differences was demonstrated by De Zan et al [36] in bare agricultural fields with L-band airborne SAR data. Barret et al [38] in 2012 did not manage to demonstrate a robust correlation in agricultural soils for C-band and recommended using shorter repeat cycles, such as are available today with Sentinel-1, to overcome the predominance of vegetation caused decorrelation over any soil moisture changes.…”

Section: Introductionmentioning

confidence: 99%

Long Term Interferometric Temporal Coherence and DInSAR Phase in Northern Peatlands

et al. 2020

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Peatlands of northern temperate and cold climates are significant pools of stored carbon. Understanding seasonal dynamics of peatland surface height and volume, often referred to as mire breathing or oscillation, is the key to improve spatial models of material flow and gas exchange. The monitoring of this type of dynamics over large areas is only feasible by remote sensing instruments. The objective of this study is to examine the applicability of Sentinel-1 synthetic aperture radar interferometry (InSAR) to characterize seasonal dynamics of peatland surface height and water table (WT) over open raised bog areas in Endla mire complex in central Estonia, characteristic for northern temperate bogs. Our results show that InSAR temporal coherence, sufficient for differential InSAR (DInSAR), is preserved in the open bog over more than six months of temporal baseline. Moreover, the coherence which is lost in a dry summer, make a recovery in autumn correlate with WT dynamics. The relationship between the coherence from a single master image and the corresponding WT difference is described by the second degree polynomial regression model (Root Mean Squared Error RMSE = 0.041 for coherence magnitude). It is also demonstrated that DInSAR phase is connected to bog surface dynamics and reveals differences between bogs and for ecotopes within a bog. These findings suggest that InSAR long term temporal coherence could be used to describe seasonal bog WT dynamics and differentiate between mire types and ecotopes within a bog. Moreover, DInSAR analysis has the potential to characterize seasonal mire surface oscillation which may be important for assessing the capacity of water storage or restoration success in northern temperate bogs.

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“…8). Changes in the dielectric properties (soil and vegetation moisture) can also influence both the coherence and the phase (Barrett et al, 2012). However, investigations in Canadian permafrost regions (Pangnirtung and Iqaluit) by Short et al (2014) examined the influence of soil moisture and found that it was unlikely to be a significant source of error.…”

Section: Discussionmentioning

confidence: 99%

Vertical movements of frost mounds in subarctic permafrost regions analyzed using geodetic survey and satellite interferometry

et al. 2015

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Abstract. Permafrost-affected soils cover about 40-45 % of Canada. The environment in such areas, especially those located within the discontinuous permafrost zone, has been impacted more than any other by recorded climatic changes. A number of changes, such as surface subsidence and the degradation of frost mounds due to permafrost thawing, have already been observed at many locations.We surveyed three frost mounds (lithalsas) in the subarctic, close to Umiujaq in northern Quebec, using highprecision differential global positioning system (d-GPS) technology during field visits in 2009, 2010 and 2011, thus obtaining detailed information on their responses to the freezing and thawing that occur during the course of the annual temperature cycle. Seasonal pulsations were detected in the frost mounds, and these responses were shown to vary with their state of degradation and the land cover. The most degraded lithalsa showed a maximum amplitude of vertical movement (either up or down) between winter (freezing) and summer (thawing) of 0.19 ± 0.09 m over the study period, while for the least degraded lithalsa this figure was far greater (1.24 ± 0.47 m). Records from areas with little or no vegetation showed far less average vertical movement over the study period (0.17 ± 0.03 m) than those with prostrate shrubs (0.56 ± 0.02 m), suggesting an influence from the land cover.A differential interferometric synthetic aperture radar (D-InSAR) analysis was also completed over the lithalsas using selected TerraSAR-X images acquired from April to October 2009 and from March to October 2010, with a repeat cycle of 11 days. Interferograms with baselines shorter than 200 m were computed revealing a generally very low interferometric coherence, restricting the quantification of vertical movements of the lithalsas. Vertical surface movements of the order of a few centimeters were recorded in the vicinity of Umiujaq.

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The Use of C- and L-Band Repeat-Pass Interferometric SAR Coherence for Soil Moisture Change Detection in Vegetated Areas

Cited by 29 publications

References 75 publications

A SAR Interferometric Model for Soil Moisture

A SAR Interferometric Model for Soil Moisture

Long Term Interferometric Temporal Coherence and DInSAR Phase in Northern Peatlands

Vertical movements of frost mounds in subarctic permafrost regions analyzed using geodetic survey and satellite interferometry

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