- 1171 - A Satellite-based Biodiversity Dynamics Capability in Tropical Forest Vandana Tomar Department of Remote Sensing, Banasthali University Rajasthan-304022, India; e-mail: vandana7232@gmx.com Pavan Kumar* Department of Remote Sensing, Banasthali University Rajasthan-304022, India; e-mail: pawan2607@gmx.com Meenu Rani Project Directorate for Farming System Research Meerut, India; e-mail: meenurani06@gmail.com Gargi Gupta Department of Remote Sensing, Banasthali University Rajasthan-304022, India; e-mail: gargi2590@gmx.com Jyoti Singh Department of Remote Sensing, Banasthali University Rajasthan-304022, India; e-mail: jyoti.ud.4u@gmx.com ABSTRACT Remotely sensed data are widely used in ecological applications because of its great advantages. Increasing availability of remotely sensed images due to the rapid advancement of remote sensing technology expands the horizon of our choices of imagery sources. Remote sensing provides quick, accurate, cost-effective as well as a time effective method for vegetation cover mapping. The present paper focus on the assessment of vegetation in Alwar district (Rajasthan) using forest inventory and geospatial approaches. Vegetation indices among other methods have been reliable in monitoring vegetation change. One of the most widely used indices for vegetation monitoring is the Normalized Difference Vegetation Index because vegetation differential absorbs visible incident solar radiant and reflects much of the infrared. Data on vegetation biophysical characteristics can be derived from visible and NIR and mid-infrared portions of the electromagnetic spectrum. Four forest types, namely Anogeissus pendula, Boswellia serrata, mixed Anogeissus butea and mixed Acacia zizyphus are mainly dominant in the forest cover of Alwar district. Satellite data of Awifs (2010) give precise information of vegetation through reflectance value. This paper aimed to develop a model for vegetation at plot level and the associated spectral characteristics. These spectral classes of the imagery are finally translated into the vegetation types in the image