Algorithm for Selecting a Surface Model for Remote Sensing of Earth's Surfaces

In modern science and technology, remote studies and measurements are one of the main methods of analysis in many fields: natural sciences, national economy, climatology and others. At the same time, models of the surfaces are necessary tools that connect the parameters of this surfaces or objects with the electromagnetic fields that these surfaces emit or reflect. At present, in order to carry out practical measurements by remote sensing methods or simulation modeling of such experiments, first of all, it is necessary to choose a correct model of surface radiation or scattering. This stage of research is labor-consuming and time-consuming because of the necessity to go through a large number of model variants, to analyze the conditions of their application and relations between the parameters of measurement systems and characteristics of surfaces. This paper proposes a classification of surface models, a model selection algorithm, and a prototype of a software product for automating the process of selecting the relationship between the parameters of the investigated surface and the signals that are registered.