Remote Sensing (Apr 2019)

Theoretical Evaluation of Water Cloud Model Vegetation Parameters

  • Sang-Eun Park,
  • Yoon Taek Jung,
  • Jae-Hyoung Cho,
  • Hyoi Moon,
  • Seung-hoon Han

DOI
https://doi.org/10.3390/rs11080894
Journal volume & issue
Vol. 11, no. 8
p. 894

Abstract

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The advantage of implementing the Water Cloud Model (WCM) is in being able to express complex scattering characteristics in a vegetated area with simple bulk vegetation descriptors. However, there has been a lack of understanding or consensus about the optimal set of vegetation descriptors. In this paper, the original and improved expressions of WCM are evaluated and the optimal vegetation descriptors are presented by examining the relationship between WCM vegetation parameters and the theoretical scattering model predictions. In addition, the condition-specific regression relationship between bulk vegetation descriptors and theoretical scattering and attenuation coefficients, expressed by the A and B parameters in the WCM, is analyzed in relation to the shape, size, and orientation distribution of the scatterer. Furthermore, the influence of radar observation conditions on the parameterization of the WCM is presented. The results show that the particle moisture content and the vegetation water content can be the optimal vegetation descriptors, denoted by the V 1 and V 2 variables in the WCM, respectively.

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