Remote Sensing: Photographic sensors and platforms; The cameras and basic photographic sequence, black and white, colour and infra-red films, spectral sensitivity of films, resolution. Non-photographic optical sensors and Platforms; Sensor measurements, design considerations, Choice of sensor and data processing. Fundamental analogue and digital image analysis. Applications; Soil land use, water resources, planning, terrain evolution. Introduction to GIS: Basic definitions, Components of a GIS, Overview of application areas, Spatial data and information. Data types: Geometry, Topology, Attribute data. Data acquisition and sources of digital data: Primary Sources (Land Surveying, GNSS, Photogrammetry, Remote Sensing), Secondary Data Sources (Scanning, Digitizing), Digital data import and format conversion. Co-ordinate transformation: Reprojection, Geo-referencing. Data Modelling: Data structures, Databases. Data Analysis: Queries, Spatial operations, Topological operations, Thematic operations. Data quality: Metadata, Errors. GIS applications.
Laboratory work: Practical exercises with GIS and Remote Sensing software