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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2014/42872
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| Title: | Using polarimetric SAR data to infer soil moisture from surfaces with varying subsurface moisture profiles |
| Authors: | Khankhoje, Uday K.
van Zyl, Jakob
Kim, Yunjin
Cwik, Thomas |
| Keywords: | Finite element methods
electromagnetic scattering by rough surfaces,
Monte Carlo simulations
subsurface sensing |
| Issue Date: | 5-Mar-2012 |
| Publisher: | Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2012. |
| Citation: | IEEE Aerospace Conference, Big Sky, Montana, March 3-10, 2012 |
| Abstract: | A time-series approach is used to estimate the moisture con- tent based on polarimetric SAR data. It is found that under the assumption of constant soil moisture, empirically observed relationships between radar backscatter and moisture are only half as sensitive to moisture as compared to actual radar data. A numerical finite element method is used to calculate the radar backscatter for rough soils with arbitrarily varying soil moisture as a function of depth. Several instance of drying and wetting moisture profiles are considered and the radar backscatter is calculated in each case. Radar backscatter is found to crucially depend on the soil moisture variation in the top half wavelength of soil. |
| URI: | http://hdl.handle.net/2014/42872 |
| Appears in Collections: | JPL TRS 1992+
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