Share Email Print
cover

Proceedings Paper

Estimation of soil moisture with L-band multipolarization radar
Author(s): Jiancheng Shi; K. S. Chen; Y. Kim; J. J. Van Zyl; E. Njoku; G. Sun; P. O'Neill; T. Jackson; D. Entekhabi
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper reports an attempt in improving surface soil moisture radar algorithm for Hydrosphere State Mission (Hydros). We used a Radiative Transfer Model to simulate a wide range surface dielectric, roughness, vegetation with random orientated disks database for our algorithm development under HYDROS radar sensor (L-band multi-polarizations and 40º incidence) configuration. Through analyses of the model simulated database, we developed a technique to estimate surface soil moisture. This technique includes two steps. First, it decomposes the total backscattering signals into two components - the surface scattering components (the bare surface backscattering signals attenuated by the overlaying vegetation layer) and the sum of the direct volume scattering components and surface-volume interaction components at different polarizations. From the model simulated data-base, our decomposition technique works quit well in estimation of the surface scattering components with RMSEs of 0.12, 0.25, and 0.55 dB for VV, HH, and VH polarizations, respectively. Then, we use the decomposed surface backscattering signals to estimate the soil moisture and the combined surface roughness and vegetation attenuation correction factors with all three polarizations. Test of this algorithm using all simulated data showed that an accuracy for the volumetric soil moisture estimation in terms of Root Mean Square Error (RMSE) of 4.6 % could be achievable.

Paper Details

Date Published: 22 December 2004
PDF: 9 pages
Proc. SPIE 5654, Microwave Remote Sensing of the Atmosphere and Environment IV, (22 December 2004); doi: 10.1117/12.578311
Show Author Affiliations
Jiancheng Shi, Univ. of California/Santa Barbara (United States)
K. S. Chen, National Central Univ. (Taiwan)
Y. Kim, Jet Propulsion Lab. (United States)
J. J. Van Zyl, Jet Propulsion Lab. (United States)
E. Njoku, Jet Propulsion Lab. (United States)
G. Sun, NASA Goddard Space Flight Ctr. (United States)
P. O'Neill, NASA Goddard Space Flight Ctr. (United States)
T. Jackson, U.S. Dept. of Agriculture (United States)
D. Entekhabi, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5654:
Microwave Remote Sensing of the Atmosphere and Environment IV
Gail Skofronick Jackson; Seiho Uratsuka, Editor(s)

© SPIE. Terms of Use
Back to Top