Seasonal frozen ground freeze-thaw cycles in cold regions are an essential indicator of climate change, infrastructure, and ecosystems in the near-surface critical zone (CZ). As a non-invasive geophysical method, the ambient noise seismic method estimates the relative velocity variations (dv/v) based on coda waves or ballistic waves, providing new insights into the seasonal frozen ground changes in the soil properties and hydrology data, such as soil moisture content (SMC), temperature, and groundwater level. Due to the dv/v lack of accurate depth information and average over tens of days at low frequencies, it is challenging to provide the needed temporal-spatial resolution for the micrometer-level frozen ground variation. In this work, we combine the 1D linear three-component seismic array and hydrological sensor to conduct seasonal frozen ground freeze-thaw monitoring experiments. Besides the conventional dv/v information, we calculate surface-wave (SW) dispersion curve variations (dc/c), which are more sensitive to SMC and can characterize the daily air temperature variations. Meanwhile, the horizontal-to-vertical spectral ratio (HVSR) amplitude and seismic attenuation also show highly consistent changes to the freeze-thaw processes. This work demonstrates that the different ambient noise seismic information (dc/c, HVSR, and attenuation) provide robust observations for hydrogeological monitoring, such as air temperature, SMC, and groundwater level changes during seasonal freeze-thaw processes.