TANCET Geo-Informatics Engineering Syllabus 2022 for M.E./ M.Tech./ M.Arch./ M.Plan. given below in detail.
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- TANCET Syllabus for MCA 2022
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To get registration in TANCET 2022 students should know about TANCET 2022 Eligibility, Registration, and Important Dates. As well as you can refer to the previous year’s TNEA cutoffs, Fee, and Seat Matrix that will help you in admission at the time of counseling.
TANCET 2022 Commencement of Registration Application is on Jan 2022. You must be careful in the process of the registration application.
TANCET Geo Informatics Engineering Syllabus 2022
Surveying Chain surveying – compass surveying – plane table surveying – levelling – theodolite surveying – Temporary and permanent adjustments for level and theodolite – trigonometric levelling – tacheometry – traversing – contouring – Computation of areas and volumes. Curve setting – simple, compound and reverse curves – transition curves – vertical curves – construction surveying – hydrographic surveying – route survey – triangulation – astronomical survey – Electromagnetic distance measurement – Total station and GPS surveying – adjustment of errors in surveying.
Remote Sensing Components of RS – electromagnetic spectrum – wave theory, particle theory, Stefan Boltzmann law and Wien’s law – radiation sources – radiation quantities – EMR interaction with atmosphere and earth materials – platforms and sensors – data product types- digital data file formats – resolution concept – elements of visual interpretation – interpretation keys. Advanced remote sensing: Principles, Characteristics and applications of thermal, hyperspectral, microwave and LIDAR images.
Digital Image Processing Sources of Image degradation and correction procedures – preprocessing – image enhancement techniques – image classification – spectral discrimination – pattern recognition concepts – Baye’s approach – signature and training sets – separability test – supervised classification – minimum distance to mean, parallelepiped, MLC – unsupervised classifiers – ISODATA, K-means – support vector machine – segmentation (spatial, Spectral) – tree classifiers – accuracy assessment. Advanced classifiers – fuzzy set classification – sub – pixel classifier – hybrid classifiers, texture based classification – object based classifiers – artificial neural nets – hebbian leaning – expert system, types and examples – knowledge systems.
Photogrammetry Types of photographs – photographic overlaps – film – based and digital aerial cameras – construction – camera accessories – Camera calibration – geometric properties of aerial photographs – stereo plotters & orientation – aerotriangulation – terrain modeling – orthophoto – digital photogrammetry work station and its components – analytical stereo plotters vs digital photogrammetry – work station basic system function – storage system – stereoscopic viewing and measuring system – photogrammetry project planning – other acquisition systems – UAV – terrestrial imaging, oblique photography, close range photogrammetry, terrestrial and mobile LIDAR.
Cartography Cartography: Functions, uses and types of maps – map scales and contents – map projections – shape, distance, area and direction properties – map co-ordinate systems – elements of a map – map Layout principles – symbols and conventional signs – map lettering – map production and reproduction – map generalization – geometric transformations. Digital Cartography: Data capture and representation – digital map design – geovisualization – digital map modelling.
Geographical information system Components of a GIS – data and attributes – scales/levels of measurements – spatial data models – raster and vector data structures – data entry – scanner – raster data Input – raster data file formats – georeferencing – vector data input – digitiser – datum projection and reprojection – coordinate transformation – topology – adjacency, connectivity and containment – topological consistency – non topological file formats – attribute data linking – linking external databases – GPS data integration – raster to vector and vector to raster conversion – data quality – completeness, logical consistency, positional accuracy, temporal accuracy, thematic accuracy and lineage – metadata – GIS standards – interoperability – OGC – spatial data infrastructure – data output – map compilation – chart/graphs. Spatial analysis and applications: raster analysis – vector analysis – network analysis – surface and geostatistical analysis – customization – web gis – mobile mapping.
RS and GIS Applications RS and GIS applications in the fields of agriculture and forestry, urban planning, hydrology and water resources, oceanography, geology, meteorology, environmental management, climate change and disaster mitigation & management.
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