Forest stock is key information required in forest mensuration, forest utilization and forest management. The present study highlights the application of the state-of-the-art technology of satellite remote sensing, Geographical Information System (GIS) and Global Positioning System (GPS) in quantification of forest growing stock. The stratification of forest in to various forest cover types and structural canopy density classes and use of sampling procedures facilitate in obtaining the required information in the shortest time and cost effective manner. In general, the forest areas refer to natural stands of woody vegetation in which trees predominate. Forests are known to be one of the very important renewable natural resources which change with time and space. The direct benefits from forests are mainly timber and non-timber minor forest products. The list of indirect benefits is quite huge, including the amelioration of climate, soil and water conservation, biodiversity conservation, habitat for a variety of fauna, tourism and recreation, etc. Broadly, there are six major groups in h,dian forests, namely tropical moist forests, tropical dry forests, montane sub-tropical forests, montane temperate forests, sub-alpine forests and alpine forests. These have been further divided into 16 types, 46 sub-types and 221 ecologically stable formations (Champion and Seth, 1968). The information about the size of forest areas and the growing stock are the two important parameters of forest inventory. Forest inventory, therefore, makes an attempt to describe the quality and quantity of forests. It is undertaken at the national or state levels for knowing the location, extent, nature, condition and productive capacity of forests. The outputs are used for formulating the policies, plans/projects and monitoring purposes.