The potential information in the temperature difference between shadow andsunlit of surfaces and a new way of retrieving the soil moisture

The thermal inertia and plant water stress index are often adopted to estim ate soil moisture available for crops or plants. However, it is not very ea sy to obtain two temporal temperatures for thermal inertia model and air te mperature for the plant water stress mode. Shadows of ground objects are of ten referred to noise on visible and near infrared remote sensing. But the difference of temperature between shadows and sunlit contains rich informat ion concerning with heat-water status for soil. This paper presented a new way to excavate just by temperature difference usually between shadow and s unlit surface. Experiments validated the ideal. We can adopt thermal camera to measure the differences in the field measurements. However, we must use inversion based on multianglar thermal infrared remote sensing data in air borne and spaceborne. An inverting model was also presented by using Monte- Carlo and the least square method. Results show that this way is feasible.