A Discrete Interferometric Model for A Layer of Random Medium

The remote sensing community has been calling for more precise monitoring of ecosystems, environmental changes, and natural resource management, including forest management. It is crucial to monitor metrics like the overall biomass and the total area index, among others. A vast number of experiments and an accurate scattering model are required to acquire the parameters of interest. Advances in the field of radar interferometry have introduced two additional quantities containing target information. These two numbers represent the interferogram phase and the correlation coefficient. To understand these values about the target's parameter of interest, the interaction of waves with vegetation particles is crucial. This work presents a discrete interferometric model of a random medium layer for use in radar interferometry applications. The model establishes the relationship between radar interferometry and forest biophysical parameters. With the help of correlation analysis, the value of one variable can be estimated given the value of another. Correlation analysis contributes to the understanding of medium behavior, and it decreases the range of uncertainty within a random medium. In this study, the modelling approach of the discrete interferometric model is introduced. The aim here is to compare the approaches with simulation results and generalize the theoretical works.