Remote sensing techniques are important tool today, to acquire useful data on earth or its part by 'sensors'. Inventory and mapping of resources are today facilitated by remotely sensed imageries.The multispectral images can be used for quantification of resources and monitoring resources during a period of time. Remote Sensing techniques help in demarcating areas of deforestation,changes in crop productivity, etc. Remote sensing makes diverse contributions to the management of renewable resources. Major application include:

       Classification and evaluation of land resources 
       Mapping of land use, and
       Monitoring of vegetation covers and crops.

Land use / land cover classification of vast area by traditional methods is a time consuming and expensive process. Remote Sensing offers a quick and efficient approach to the classification and mapping of land uses/land cover classes form a basis for future planning. Keeping this in view the present study has been undertaken to identify and delineate various land use/land cover categories and types of tree species present in the particular area. An important objective is how to quantitatively derive the biomass variation from the high dimensional data collected from multi -frequency, dual - polarized, multi - day, multi-angle, and passive sensors.