A study was carried out in village Mohamadabad, Nalgonda district, Andhra Pradesh to demonstrate the potential of high-resolution remote sensing data in generating soil resource database at village level that would facilitate natural resource developmental planning. For this study, detail soil resource database was generated by interpreting IRS Resourcesat-1 LISS-IV + Cartosat-1 merged data and by undertaking soil survey and soil analysis.

Sal (Shorea robusta Roth) is one of the most important timber-yielding plants in India, known for its heavy, hard and tough wood. Sal is an important source of hardwood timber in India, with hard, coarse-grained wood.

Sundarban is perhaps the only forest in India where no cattle or other easy prey is available for old and injured tigers, forcing them to swim across the water channels to hunt for easy prey i.e. the cattle in the villages.

Development of representative conceptual groundwater flow model is an important step before translating it into a numerical model. In this paper, a methodology for development of conceptual groundwater flow model has been presented in which spatially distributed values for groundwater recharge has been utilized instead of lump sum average values of recharge normally obtained by water budgeting method. The study also extensively uses GIS for preprocessing of hydrological, hydrogeological and geological data.

In the absence of historical field data, developing countries can rely on consistent current ground data and remote sensing assessments.

Mapping of extent of urban sprawl and by monitoring the temporal changes, the impact of changing land use on land, ecology and environment system can be assessed.

Sikkim is a small, mountainous, Indian state (7,096 km2) located in the eastern Himalayan region. Though a global biodiversity hotspot, it has been relatively less studied. A detailed forest type, density and change dynamics study was undertaken, using satellite remote sensing data and intensive field verification. The landscape was found to be dominated by alpine and nival ecosystems, with a large portion above the tree line, considerable snow cover, and a sizeable area under forest cover (72%,
5,094 km2).

The amount and intensity of runoff at catchment scale are largely determined by the presence of impervious land cover types, which are predominant in an urbanized area. This paper examines the impact of different methods for estimating impervious surface cover on the prediction of peak discharges as determined by a fully distributed rainfall-runoff model (WetSpa). The study of River Yamuna and Hindon basin area shows detailed information on the spatial distribution of impervious surfaces, as obtained/calibrated from remotely sensed data.

In this present study, the soil erosion assessment and conservation measures in hill ecosystem is carried out in the Kalrayan hills, Part of Eastern ghats, Tamil Nadu using Remote Sensing and GIS techniques. The geocoded digital data of IRS P6 LISS – III (P101-R65 of 2001) and Survey of India toposheets (1971) were interpreted and various thematic maps such as drainage, lineaments, geomorphology, land use/land cover and slope maps have been prepared.