Spatial data on forest/vegetation and landuse were generated using satellite remote sensing data through digital classification. Spatial and non-spatial data from other ancillary data sources was combined to generate habitat maps. Landscape analysis for determining the parameters like fragmentation, porosity, proximity, and other patch characteristics, have been used to derive disturbance index using proximity from settlements and roads.

The knowledge base with respect to ecosystem uniqueness, species richness, biodiversity value is used to create attribute information of the composite strata of vegetation type and disturbance regimes. The terrain complexity and disturbance index were spatially combined with the above knowledge base to model the biological richness.

The study uses ERDAS Imagine digital image processing software and Arc/Info Geographic Information System for the data generation, storage, analyses, results and output in the form of maps on 1:250,000 scale. A customised software package Bio_CAP has been developed to carry out the above functions.