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Inversion of vegetation height from PolInSAR using complex least squares adjustment method

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Abstract

In this paper, we propose the novel method of complex least squares adjustment (CLSA) to invert vegetation height accurately using single-baseline polarimetric synthetic aperture radar interferometry (PolInSAR) data. CLSA basically estimates both volume-only coherence and ground phase directly without assuming that the ground-to-volume amplitude radio of a particular polarization channel (e.g., HV) is less than −10 dB, as in the three-stage method. In addition, CLSA can effectively limit errors in interferometric complex coherence, which may translate directly into erroneous ground-phase and volume-only coherence estimations. The proposed CLSA method is validated with BioSAR2008 P-band E-SAR and L-band SIR-C PolInSAR data. Its results are then compared with those of the traditional three-stage method and with external data. It implies that the CLSA method is much more robust than the three-stage method.

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Correspondence to ChangCheng Wang.

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Fu, H., Wang, C., Zhu, J. et al. Inversion of vegetation height from PolInSAR using complex least squares adjustment method. Sci. China Earth Sci. 58, 1018–1031 (2015). https://doi.org/10.1007/s11430-015-5070-1

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  • DOI: https://doi.org/10.1007/s11430-015-5070-1

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