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000890906 1001_ $$00000-0002-1760-2425$$aJagdhuber, Thomas$$b0
000890906 245__ $$aEstimation of Vegetation Structure Parameters From SMAP Radar Intensity Observations
000890906 260__ $$aNew York, NY$$bIEEE78494$$c2021
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000890906 520__ $$aIn this article, we present a multipolarimetric estimation approach for two model-based vegetation structure parameters (shape A and orientation distribution ψ of the main canopy elements). The approach is based on a reduced observation set of three incoherent (no phase information) polarimetric backscatter intensities (|S HH | 2 , |S HV | 2 , and |S VV | 2 ) combined with a two-parameter (A P and ψ) discrete scatterer model of vegetation. The objective is to understand whether this confined set of observations contains enough information to estimate the two vegetation structure parameters from the L-band radar signals. In order to disentangle soil and vegetation scattering influences on these signals and ultimately perform a vegetation only retrieval of vegetation shape A and orientation distribution ψ, we use the subpixel spatial heterogeneity expressed by the covariation of co- and cross-polarized backscatter Γ PP-PQ of the neighboring cells and assume it is indicative for the amount of a vegetation-only co-to-cross-polarized backscatter ratio μ PP-PQ . The ratio-based retrieval approach enables a relative (no absolute backscatter) estimation of the vegetation structure parameters which is more robust compared to retrievals with absolute terms. The application of the developed algorithm on global L-band Soil Moisture Active Passive (SMAP) radar data acquired from April to July 2015 indicates the potential and limitations of estimating these two parameters when no fully polarimetric data are available. A focus study on six different regions of interest, spanning land cover from barren land to tropical rainforest, shows a steady increase in orientation distribution toward randomly oriented volumes and a continuous decrease in shape arriving at dipoles for tropical vegetation. A comparison with independent data sets of vegetation height and above-ground biomass confirms this consistent and meaningful retrieval of A P and ψ. 
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000890906 7001_ $$0P:(DE-Juel1)129506$$aMontzka, Carsten$$b1$$eCorresponding author
000890906 7001_ $$00000-0002-1366-9446$$aLopez-Martinez, Carlos$$b2
000890906 7001_ $$0P:(DE-HGF)0$$aBaur, Martin J.$$b3
000890906 7001_ $$00000-0001-5097-5525$$aLink, Moritz$$b4
000890906 7001_ $$00000-0002-1169-3098$$aPiles, Maria$$b5
000890906 7001_ $$0P:(DE-HGF)0$$aDas, Narendra Narayan$$b6
000890906 7001_ $$0P:(DE-Juel1)129478$$aJonard, Francois$$b7
000890906 773__ $$0PERI:(DE-600)241439-9$$a10.1109/TGRS.2020.2991252$$gp. 1 - 17$$n1$$p151-167$$tIEEE transactions on geoscience and remote sensing$$v59$$x1558-0644$$y2021
000890906 8564_ $$uhttps://juser.fz-juelich.de/record/890906/files/09099046.pdf
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