STUDY OF SOIL COMPOSITION INDICATORS BASED ON HYPERSPECTRAL SURVEY DATA

The article discusses modern technologies for assessing soil composition indicators based on hyperspectral satellite survey data, and critically analyzes the possibility of using hyperspectral data to improve the informativeness of engineering geological studies. The features of available hyperspectral data and processing algorithms are reviewed. The main limitations related to the influence of vegetation cover, terrain, and spatial resolution are indicated. It is shown that, considering existing constraints and features, hyperspectral data can be used to estimate soil moisture, organic matter content, and mineral and granulometric composition. The necessity of developing a domestic soil spectral library linked to GOST 25100 and adapting processing algorithms to national standards is emphasized.