The present study attempts to generate land-use/land-cover (LULC) and forest map using standard False-Colour composite (FCC) of satellite imagery of IRS P6 LISS III for a deciduous forest area of Munger in Bihar, India. The method adopted is an integration of geospatial techniques and field data to accurately map the LULC of the study area. Forest classification through unsupervised, supervised and visual interpretation is carried out to observe a corresponding gradual enhanced classification accuracy of the methods applied. Nearly 89% of the area is covered under forest out of which the dominant forest types are mixed Shorea robusta (Sal), Acacia catechu (Khair) and Dendrocalamus sp. (Bamboo) forests. The major constraint of the study is the inaccessibility of most of the area. The integrated geospatial approach overcomes this problem to a great extent and reveals its potential for gathering information from remote areas without directly intervening in the area. The study proposes the application of satellite remote sensing and geospatial techniques for future environmental monitoring and forest dynamics studies.