Two-Level Forest Model Inversion of Interferometric TanDEM-X Data
Paper in proceeding, 2014

In this work, a two-level model is inverted and estimates of ground-to-vegetation ratio and level distance are obtained. Interferometric TanDEM-X data acquired over Remningstorp, a hemi-boreal test site situated in southern Sweden are used. Interferograms are flattened through the removal of ground phase, computed from a highresolution digital terrain model. 32 circular, 40-metre radius field plots are used to show that the two estimated model parameters are well-correlated with the lidar-derived parameters vegetation ratio (VR, a canopy density measure) and 95 th -percentile forest height (H95), with the respective Pearson correlation coefficients -0.83 and 0.99. Two new quantitites, IVR and IFH95, are introduced as interferometry-based estimates of VR and H95, with RMSE values 0.68 m and 4.50 percentage points, respectively.


Maciej Soja

Chalmers, Earth and Space Sciences, Radar Remote Sensing

Lars Ulander

Chalmers, Earth and Space Sciences, Radar Remote Sensing

10th European Conference on Synthetic Aperture Radar (EUSAR)

978-380073607-2 (ISBN)

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Sustainable development

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Remote Sensing

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