It is difficult to explain and predict the law of formation

development

evolution and internal mechanism ofclimate change using currently available climate prediction models for studing on climate change. The main means ofstuding on climate change are climate digital simulations

and many methods were developed for them

however thereare uncertainty. The problem is mainly unobjectivity for operational direction of the models; contradictory of staticinitial field with dynamic process between land and atmosphere. Therefore

new methods must be found out with aidsof new technology. In this paper a model of dynamic land surface feature was developed based on remote sensing andGIS

including database of dynamic feature of land surface

inversions and calculations of albedo

temperature androughness of land surface.