In order to make land use planning within the scope of Sustainable Soil and Land Management (SSM&SLM), the locations and levels of impact of areas exposed to wind erosion need to be quantified. In this context, wind erosion prediction modeling studies on the country scale were initiated with the `National Dynamic Wind Erosion Model and Monitoring System (UDREMIS). Information obtained by the temporal field estimation flexibility introduced by the UDREMIS model will be used as underlining in SLM, SSM and Land Degradation Neutrality (LDN) projects. The UDREMIS system was developed by selecting the RWEQ model where dynamic, updatable databases can be used in the national dimension in order to predict and monitor wind erosion in the national scale. RWEQ model consists of climate, soil, topography, vegetation, management parameters; information about the vegetation parameter is given in this publication. In this study, 1440 Landsat 8 satellite images were processed and with the help of NDVI Analyses, the canopy covers and vegetation rates were determined. Vegetation and soil loss rate were determined by starting from vegetation cover. With the study, it was observed that postharvest vegetation cover, especially on dry farmland after July, gradually fell and became susceptible to wind erosion. With global climate change, delayed rains due to the shift in the seasons affect the canopy cover at negative rate, increasing the sensitivity of the lands to wind erosion. The UDREMIS system is continuously fed by periodic satellite images, both temporal and positional effects of land use changes on wind erosion can be analyzed.