In India around 75% of population resides in rural area. Recent surveys show that of total domestic fuel needs, 60% in rural areas and 40% in urban areas are being met from wood fuel. Tradition fuel such as wood, agriculture residues and animal residues, still meets 85-95% of fuel needs in rural areas of Kolar district. Fuel wood is the most preferred fuel for cooking while, bioresidues are used for other purposes such as water heating, etc. In view of these, Bioresource play a dominant role in the energy planning of a region. Integrated energy planning for Kolar district is being undertaken under UNDP-NRDMS programme of Ministry of Science and Technology, Government of India. In this regard comprehensive survey were carried out to gain an understanding of the consumption pattern, mapping of bioresources, develop consistent and rigorous database,and to formulate a long term strategy for sustainable development. Remote sensing data, Geographic Information System (GIS),field surveys and destructive sampling is used to assess the standing wood stock and its sustainable productivity. Multispectral data of IRS-1C is used for land cover analysis while PAN imageries are used (with multispectral data) to get a species level information. Field survey in Kolar indicates that rural household depends on species such as Prosopis juliflora, Acacia nilotica,Acacia auriculiformis to meet fuel wood requirement for domestic activities. Villages as sampling units were selected randomly. Training data through field surveys for Prosopis juliflora and other fuel wood species in Kolar taluk covering 30 villages were collected. A maximum likelihood classification criterion is used to determine vegetation cover type and to identify various tree species in remote sensing data. The spectral response pattern for Prosopis juliflora and other fuel wood species is determined with the training data. Mapping of Prosopis juliflora in other taluks of Kolar district was done with these information. Validation exercise carried out in Gauribidanur taluk indicates the level of accuracy of about 88%.