The results of scientific research on the dynamics of desertification processes in Astrakhan Oblast, RF, using geoinformation technologies and remote sensing data for the period from 2002 to 2024 are presented. The provisions of the landscape approach make the theoretical basis of the research; it assumes the genetic relationships of landscape components and their mutual influence. Mathematical and cartographic analysis of desertification considering its complex types and geoinformation processing of time series space satellite images allowed us to gain new knowledge on changes in the total spreading of the process in the research area and establish influencing natural and anthropogenic factors. The developed regression equations enabled determining desertification trends based on changes in the projective vegetation coverage in the studied area, to identify their correlation with anthropogenic factors (the number of sheep and goats) and weather conditions (annual precipitation). To prevent an increase of desertification during the period of decreasing precipitation, it is necessary to reduce the load on pastures, and restore their productivity, carry out phytomelioration work using highly productive reclamation plants (Krascheninnikovia ceratoides (L.) Gueldenst., Calligonum aphyllum (Pall.) Gürke, Agropyron cristatum (L.) Gaertn. and others) and reserving of pasture areas for the seed renewal of phytocenoses