Definition of remote sensing and its components – Electromagnetic spectrum – wavelength regions important to remote sensing – Wave theory, Particle theory, Stefan- Boltzmann and Wein’s Displacement Law – Atmospheric scattering, absorption – Atmospheric windows – spectral signature concepts –typical spectral reflective characteristics of water, vegetation and soil

Types of platforms – orbit types, Sun- synchronous and Geosynchronous – Passive and Active sensors resolution concept – Pay load description of important Earth Resources and Meteorological satellites – Airborne and space borne TIR and microwave sensors

Types of Data Products – types of image interpretation- basic elements of image interpretation- visual interpretation keys – Digital image processing – Pre-processing – image enhancement techniques – multispectral image classification – supervised and unsupervised.

Introduction – Maps- Definitions – Map projections – types of map projections – map analysis – GIS definition – basic components of GIS – standard GIS software – data type – Spatial and non-spatial (attribute) data – measurement scales- Data base Management Systems (DBMS).

Data models – vector and raster data – georeferencing – overlay analysis – data compression – data input by digitization and scanning – attribute data analysis – integrated data analysis – Application of GIS in highway alignment studies, Environmental and water resources – Land Information system.