Monitoring seasonally frozen soils using passive microwave satellite data and simulation modeling

Passive microwave satellite data and simulation modeling were studied to assess seasonally frozen soils for north central U.S. and Canada. Classification of SMMR data provided an overall accuracy of 85.9% as compared to 5-cm soil temperature measurements. Preliminary work with a simulation model, FroST (Frozen Soil Temperature) indicates potential to more extensively study frozen soils.