GATE 2022 syllabus for Geology and Geophysics (GG) gives you details of the latest GATE syllabus for the subject release by the official gate organizing institute IIT Bombay for the year 2022. We also created an easy-to-use ad-free mobile app for the GATE syllabus, previous year papers with keys, gate calculator, virtual calculator, and more. Download iStudy App for all GATE preparation needs.
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GATE 2022 Syllabus – Geomatics Engineering (GE)
PART A: Common Section
Engineering Mathematics – Surveying measurements, Accuracy, Precision, Most probable value, Errors, and their adjustments, Regression analysis, Correlation coefficient, Lease square adjustment, Statistical significant value, Chi-square test.
Remote Sensing – Basic concept, Electromagnetic spectrum, Spectral signature, ResolutionsSpectral. Spatial, Temporal, and Radiometric, Platforms and Sensors, Remote Sensing Data Products – PAN, Multispectral, Microwave, Thermal, Hyperspectral, Visual and digital interpretation methods
GNSS – Principle used, Components of GNSS, Data collection methods, DGPS, Errors in observations, and corrections.
GIS – Introduction, Data Sources, Data Models and Data Structures, Algorithms, DBMS, Creation of Databases (spatial and non-spatial), Spatial analysis – Interpolation, Buffer, Overlay, Terrain Modeling, and Network analysis.
Part B (Section-1): Geomatics Engineering
Maps – Importance of maps to engineering projects, Types of maps, Scales and uses, Plotting accuracy, Map sheet numbering, Coordinate systems- Cartesian and geographical, map projections, map datum – MSL, Geoid, spheroid, WGS-84.
Land Surveying – Various Levels, Levelling methods, Compass, Theodolite, and Total Station and their uses, Tachometer, Trigonometric leveling, Traversing, Triangulation, and Trilateration.
Aerial Photogrammetry – Types of photographs, Flying height, and scale, Relief (height) displacement, Stereoscopy, 3-D Model, Height determination using Parallax Bar, Digital Elevation Model (DEM), Slope.
PART B (Section 2): Geomatics Engineering
Data Quantization and Processing – Sampling and quantization theory, Principle of Linear System, Convolution, Continuous and Discrete Fourier Transform.
Digital Image Processing – Digital image characteristics: image histogram and scattergram and their significance, Variance-Covariance matrix, Correlation matrix, and their significance.
Radiometric and Geometric Corrections – Registration and Resampling techniques.
Image Enhancement – Contrast Enhancement: Linear and Non-linear methods; Spatial Enhancement: Noise and Spatial filters
Image Transformation – Principal Component Analysis (PCA), Discriminant Analysis, Color transformations (RGB – IHS, CMYK), Indices (Ratios, NDVI, NDWI).
Image Segmentation and Classification – Simple techniques.
GENERAL APTITUDE (Common for all branches)
Basic English Grammar
Tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
Words, idioms, and phrases in context
Reading and Comprehension
Data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables
Numerical Computation and Estimation
Ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series
Mensuration and Geometry
Elementary Statistics and Probability
Deduction and Induction
Numerical Relations and Reasoning
Transformation of Shapes
Translation, rotation, scaling, mirroring, assembling, and grouping
Paper folding, cutting, and patterns in 2 and 3 dimensions
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