A method of soil moisture and wetland monitoring and mappiag at 1:50,000 scale using the satellite remote sensing data is described.Two TM images acquired on oct.18,1984 and Mar.6,1989 respectively were processed.The 3d principal components (PC3) resulted from K-L transformation of TM images of two dates were registered one to the other.Then a classification of land surface wetness was carried out by a hyperboxes classifier and five types of wetness were obtained: water body the Iand always wet,the land wet only in summer,the land wet only in winter,the land always dry.The results were checked against fields with a very good agreement.It meant that this method was suitable for mapping and monitoring of wetlands and soil moisture changes as well.