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A Parameterized Inversion Model for Soil Moisture and Biomass from Polarimetric Backscattering CoefficientsA semi-empirical algorithm for the retrieval of soil moisture, root mean square (RMS) height and biomass from polarimetric SAR data is explained and analyzed in this paper. The algorithm is a simplification of the distorted Born model. It takes into account the physical scattering phenomenon and has three major components: volume, double-bounce and surface. This simplified model uses the three backscattering coefficients ( sigma HH, sigma HV and sigma vv) at low-frequency (P-band). The inversion process uses the Levenberg-Marquardt non-linear least-squares method to estimate the structural parameters. The estimation process is entirely explained in this paper, from initialization of the unknowns to retrievals. A sensitivity analysis is also done where the initial values in the inversion process are varying randomly. The results show that the inversion process is not really sensitive to initial values and a major part of the retrievals has a root-mean-square error lower than 5% for soil moisture, 24 Mg/ha for biomass and 0.49 cm for roughness, considering a soil moisture of 40%, roughness equal to 3cm and biomass varying from 0 to 500 Mg/ha with a mean of 161 Mg/ha
Document ID
20130001835
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Truong-Loi, My-Linh
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Saatchi, Sassan
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Jaruwatanadilok, Sermsak
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 27, 2013
Publication Date
July 22, 2012
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: IEEE Geoscience and Remote Sensing Society
Location: Munich
Country: German Democratic Republic
Start Date: July 22, 2012
End Date: July 27, 2012
Sponsors: Institute of Electrical and Electronics Engineers
Distribution Limits
Public
Copyright
Other
Keywords
soil moisture
biomass
polarimetry
roughness

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