Page Banner

United States Department of Agriculture

Agricultural Research Service


item Shi, J
item Chen, K
item Kim, Y
item Van Zyl, J
item Njoku, E
item Sun, G
item O'neill, P
item Jackson, Thomas
item Entekhabi, D

Submitted to: Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 7/7/2004
Publication Date: 9/20/2004
Citation: Shi, J., Chen, K.S., Kim, Y., Van Zyl, J., Njoku, E., Sun, G., O'Neill, P., Jackson, T.J., Entekhabi, D. 2004. Estimation of soil moisture with L-band multi-polarization radar. In: Proceedings of the International Geoscience and Remote Sensing Symposium, September 20-24, 2004, Anchorage, Alaska. IEEE Cat. No. 04CH37612C, II: 815-818.

Interpretive Summary:

Technical Abstract: Through analyses of the model simulated data-base, we developed a technique to estimate surface soil moisture under HYDROS radar sensor (L-band multi-polarizations and 40º incidence) configuration. 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.

Last Modified: 06/22/2017
Footer Content Back to Top of Page