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Retrieval of Soil Moisture under Vegetation Using Polarimetric Radar


Arii, Motofumi (2009) Retrieval of Soil Moisture under Vegetation Using Polarimetric Radar. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/SKJ9-KT40.


The unique contributions of this thesis are: 1) a polarimetric classification algorithm that is a significant improvement over an existing algorithm and 2) introduction of a cube technique to retrieve soil moisture under vegetation.

The most widely used classification algorithm is the three-component scattering technique. Even though it includes three dominant scattering mechanisms, the decomposition approach can cause a non-physical solution due to incorrect assumptions. The Adaptive Non Negative Eigenvalue Decomposition approach in this thesis produces correct solution. It appears that this new approach provides better classification results. It is a significant improvement over the existing technique.

A cube technique is introduced to retrieve soil moisture under vegetation. Using this approach, we have evaluated the retrieval accuracy of several polarimetric combinations. The effects of the incorrect vegetation model and data noise were investigated. In addition, the proposed cube algorithm can be improved by applying the classification result.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:adaptive decomposition; polarimetric radar; polarimetric scattering cube
Degree Grantor:California Institute of Technology
Division:Engineering and Applied Science
Major Option:Electrical Engineering
Minor Option:Planetary Sciences
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Rutledge, David B. (advisor)
  • van Zyl, Jakob J. (co-advisor)
  • Kim, Yunjin (co-advisor)
Thesis Committee:
  • Rutledge, David B. (chair)
  • Emami, Azita
  • Elachi, Charles
  • van Zyl, Jakob J.
  • Kim, Yunjin
Defense Date:9 December 2008
Record Number:CaltechETD:etd-05082009-143935
Persistent URL:
Arii, Motofumi0000-0002-3242-7987
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:1684
Deposited By: Imported from ETD-db
Deposited On:18 May 2009
Last Modified:26 Nov 2019 19:13

Thesis Files

PDF (Thesis_Motofumi_Arii.pdf) - Final Version
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