In this research, we develop a sensor monitoring system for vehicle dynamics aimed at developing a forest soil moisture measurement system for landslide disaster prevention. The identification of landslide hazard warning areas is necessary to prevent landslide disasters. Soil moisture is one of the factors. Common methods of surveying this soil moisture content include borings and satellites. However, borehole investigations may omit areas that truly need to be investigated without a priori knowledge of the locations to be measured. In addition, it is difficult to specify the timing of measurements in satellite surveys. Therefore, this research aims to establish a system that is safe, wide-ranging, and capable of setting the timing and range of measurement as needed. One approach to meet these requirements is to mount sensors on remotely operated vehicles to measure soil moisture content. In general, vehicles for such purposes need to travel in rough environments, and in order to travel well in rough environments, it is necessary to detect abnormal driving conditions such as slipping or skidding. For this purpose, we develop a sensor monitoring for the vehicle traveling in rough terrain and through forest.