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A Multibaseline Pol-InSAR Inversion Scheme for Crop Parameter Estimation at Different Frequencies
A novel oriented volume over ground (OVoG) inversion scheme is developed and tested on a data set of simulated agricultural scenarios and real SAR acquisitions. The algorithm makes use of multibaseline measurements to estimate the whole set of the OVoG structural parameters (e.g., crop height, differential extinction between eigenpolarizations, and ground-to-volume ratios) and is significantly robust against nonvolumetric decorrelation contributions. The theoretical assessment points out that, in the dual-baseline case, the vegetation height [Formula Omitted] can be estimated with a relative root-mean-square deviation (%RMSD) of 7.8% if the selected baselines fulfill the condition [Formula Omitted] ( [Formula Omitted] is the vertical wavenumber). Furthermore, the variance of the estimates is inversely related to the number of baselines [Formula Omitted]. Compared with the dual-baseline case, the RMSD of the differential extinction is reduced by 45% (from 1.1 to 0.6 dB/m) when [Formula Omitted] baselines are employed, whereas its mean bias is independent of [Formula Omitted]. The proposed scheme has been assessed using a set of repeat-pass F-SAR acquisitions at L-, C-, and X-band of an agricultural area in Germany. Using two baselines, the height of maize and rape fields is estimated with an average 10% %RMSD if the inversion is carried out over L-band acquisitions. On the other hand, when X-band data are employed, one can obtain reliable estimates of wheat and barley height, with a %RMSD better than 24%. The study also indicates the existence of differential wave propagation effects through maize ( [Formula Omitted] between 0.7 and 1 dB/m) and rape [Formula Omitted] canopies at L-band.
A Multibaseline Pol-InSAR Inversion Scheme for Crop Parameter Estimation at Different Frequencies
A novel oriented volume over ground (OVoG) inversion scheme is developed and tested on a data set of simulated agricultural scenarios and real SAR acquisitions. The algorithm makes use of multibaseline measurements to estimate the whole set of the OVoG structural parameters (e.g., crop height, differential extinction between eigenpolarizations, and ground-to-volume ratios) and is significantly robust against nonvolumetric decorrelation contributions. The theoretical assessment points out that, in the dual-baseline case, the vegetation height [Formula Omitted] can be estimated with a relative root-mean-square deviation (%RMSD) of 7.8% if the selected baselines fulfill the condition [Formula Omitted] ( [Formula Omitted] is the vertical wavenumber). Furthermore, the variance of the estimates is inversely related to the number of baselines [Formula Omitted]. Compared with the dual-baseline case, the RMSD of the differential extinction is reduced by 45% (from 1.1 to 0.6 dB/m) when [Formula Omitted] baselines are employed, whereas its mean bias is independent of [Formula Omitted]. The proposed scheme has been assessed using a set of repeat-pass F-SAR acquisitions at L-, C-, and X-band of an agricultural area in Germany. Using two baselines, the height of maize and rape fields is estimated with an average 10% %RMSD if the inversion is carried out over L-band acquisitions. On the other hand, when X-band data are employed, one can obtain reliable estimates of wheat and barley height, with a %RMSD better than 24%. The study also indicates the existence of differential wave propagation effects through maize ( [Formula Omitted] between 0.7 and 1 dB/m) and rape [Formula Omitted] canopies at L-band.
A Multibaseline Pol-InSAR Inversion Scheme for Crop Parameter Estimation at Different Frequencies
Manuele Pichierri (author) / Irena Hajnsek / Konstantinos P Papathanassiou
2016
Article (Journal)
English
Local classification TIB:
770/3710/5670
BKL:
38.03
Methoden und Techniken der Geowissenschaften
/
74.41
Luftaufnahmen, Photogrammetrie
Forest Modeling For Height Inversion Using Single-Baseline InSAR/Pol-InSAR Data
Online Contents | 2010
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