Environmental effects on the interferometric repeat-pass coherence of forests

Drezet, P.M.L.; Quegan, S.

doi:10.1109/tgrs.2006.864387

Cited by 16 publications

(14 citation statements)

References 32 publications

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“…The PALSAR FBD data also displayed a weak correlation (n=71, R=-0.36, p=0.002) between precipitation differences and HH coherence for the potato crop cover. It can be seen from [49] and Drezet and Quegan [50].…”

Section: Meteorological Effects On the Temporal Decorrelationmentioning

confidence: 95%

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

Barrett¹,

Whelan²,

Dwyer³

2012

TORMSJ

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Abstract:Soil moisture estimation studies using Synthetic Aperture Radar (SAR) routinely utilise only the amplitude part of the received echo. In this study, repeat-pass C-and L-band interferometric SAR coherence from 2007 -2009 was evaluated for the detection of surface soil moisture changes in the presence of vegetation using two different approaches. In the first analysis, the association between low coherence and large in situ soil moisture changes was investigated using 24 interferometric pairs and the decorrelation effects due to vegetation and weather were also assessed. Results reveal that, in very few cases soil moisture differences between acquisitions contributed to the signal decorrelation. For the majority of cases, particularly in C-band, the change in vegetation tended to be the predominant source of decorrelation, suppressing the influence of any soil moisture changes. The second analysis applied thresholds to both coherence and intensity data to determine if a coalesced coherence ( ) and intensity change ( 0 ) approach could improve detection of changes in measured soil moisture content. The aim was to test the usefulness of a > 0.3 and 0 > 1.5 dB thresholding approach to separate the effects of a vegetation change and a soil moisture change on the SAR signal. Results suggest that the approach improves the reliability of the soil moisture change detection although clearly limits the use of available image pairs. These analyses demonstrate the increased information the coherence adds to SAR studies over agricultural areas.

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Section: Meteorological Effects On the Temporal Decorrelationmentioning

confidence: 95%

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

Barrett¹,

Whelan²,

Dwyer³

2012

TORMSJ

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“…(Wagner et al, 2003) used tandem coherence and an exponential model in combination with JERS-1 backscatter to determine stem volume in Siberia. In (Drezet et al, 2006;Drezet, 2007) a set of coherence images over UK with a good coherence range was used. Instead of biomass or stem volume, age was used as variable, and results cannot be compared.…”

Section: Conclusion and Future Outlookmentioning

confidence: 99%

Experiences in Boreal Forest Stem Volume Estimation from Multitemporal C-Band InSAR

Askne¹,

Santoro²

2012

Recent Interferometry Applications in Topography and Astronomy

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“…These variations are strongly influenced by meteorological effects, which are difficult to adjust for a priori to produce quantitative estimates. Analysis of the causes of environmental effects can be found in Way et al (1991); Proisy et al (2000); Fransson et al (2002); Drezet and Quegan (2006).…”

Section: Remote Sensing Techniquesmentioning

confidence: 99%

Satellite-based radar mapping of British forest age and Net Ecosystem Exchange using ERS tandem coherence

Drezet

Quegan

2007

Forest Ecology and Management

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Environmental effects on the interferometric repeat-pass coherence of forests

Cited by 16 publications

References 32 publications

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

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

Experiences in Boreal Forest Stem Volume Estimation from Multitemporal C-Band InSAR

Satellite-based radar mapping of British forest age and Net Ecosystem Exchange using ERS tandem coherence

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