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Using Polarimetric SAR Data to Infer Soil Moisture from Surfaces with Varying Subsurface Moisture ProfilesA time-series approach is used to estimate the moisture content-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.
Document ID
20140002131
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
Authors
Khankhoje, Uday K.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
van Zyl, Jakob
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Kim, Yunjin
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Cwik, Thomas
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
March 20, 2014
Publication Date
March 5, 2012
Subject Category
Communications And Radar
Meeting Information
Meeting: IEEE Aerospace Conference
Location: Big Sky, MT
Country: United States
Start Date: March 3, 2012
End Date: March 10, 2012
Sponsors: Institute of Electrical and Electronics Engineers
Distribution Limits
Public
Copyright
Other
Keywords
subsurface sensing
electromagnetic scattering by rough surfaces,
Finite element methods
Monte Carlo simulations

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