Hydrology and Earth System Sciences
www.hydrol-earth-syst-sci.net
1027-5606
1607-7938
13
3
2009
10.5194/hess-13-381-2009
http://www.hydrol-earth-syst-sci.net/13/381/2009/
http://www.hydrol-earth-syst-sci.net/13/381/2009/hess-13-381-2009.html
http://www.hydrol-earth-syst-sci.net/13/381/2009/hess-13-381-2009.pdf
381
394
2009-03-18
On the derivation of soil surface roughness from multi parametric PolSAR data and its potential for hydrological modeling
P. Marzahn
p.marzahn@iggf.geo.uni-muenchen.de
R. Ludwig
Department of Geography, Ludwig-Maximilian University Munich, Germany
The potential of multi parametric polarimetric SAR (PolSAR) data for soil
surface roughness estimation is investigated and its potential for
hydrological modeling is evaluated. The study utilizes microwave backscatter
collected from the DEMMIN test site in the North East of Germany during the
AgriSAR 2006 campaign using fully polarimetric L-band E-SAR data. In
addition to various measurements of soil physical properties, soil surface
roughness was measured extensively using photogrammetric image matching
techniques for ground truthing. The resulting micro-DSMs are analyzed to
correlate a soil surface roughness index to three well established
polarimetric roughness estimators. Good results are obtained for
<i>Re</i><sub>[ρ<i>RRLL</i>]</sub> vs. RMS Height for areas with a polarimetric alpha angel
α<40°, which is thus used to produce multi temporal
roughness data of the test site. The proposed roughness inversion scheme
showed sufficiently accurate results (RMSE=0.1) to allow for a first order
assessment of soil-hydrological parameters (soil porosity, void ratio),
which are crucial for the initialization and operation of hydrological
surface models. While uncertainties remain, the dependency of soil bulk
density parameters from surface roughness can be shown and thus highlights
the potential of the retrieval approach for hydrological model applications.
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