Theoretical Evaluation of Water Cloud Model Vegetation Parameters
AbstractThe 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 V1 and V2 variables in the WCM, respectively.
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Park, S.-E.; Jung, Y.T.; Cho, J.-H.; Moon, H.; Han, S.-H. Theoretical Evaluation of Water Cloud Model Vegetation Parameters. Remote Sens. 2019, 11, 894.
Park S-E, Jung YT, Cho J-H, Moon H, Han S-H. Theoretical Evaluation of Water Cloud Model Vegetation Parameters. Remote Sensing. 2019; 11(8):894.Chicago/Turabian Style
Park, Sang-Eun; Jung, Yoon Taek; Cho, Jae-Hyoung; Moon, Hyoi; Han, Seung-hoon. 2019. "Theoretical Evaluation of Water Cloud Model Vegetation Parameters." Remote Sens. 11, no. 8: 894.
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