GATE 2023 Geomatics Engineering Syllabus | Download PDF
Updated: Jul 4
In this blog, we have provided the detailed syllabus for the GATE 2023 Geomatics Engineering paper. GATE GE is a new paper being introduced only in 2022. The main topics of this paper include remote sensing, GNSS, GIS and so on as we will see further in this blog. You can also download the syllabus PDF in this blog, so stay till the end.
The GATE exam in general is useful for admissions to post-graduate courses in premium institutes and PSU recruitments. GATE 2023 exam will be conducted by IIT Kanpur probably in the first and second week of February. All details regarding GATE 2023 is already covered in our previous blog.
Broadly speaking, the Geomatics engineering paper consists of the following subjects.
Data Quantization and Processing
Digital Image Processing
Radiometric and Geometric Corrections
Image Sensation and Classification
The aptitude syllabus is the same for every paper. It covers 15 marks out of the total 100 marks.
Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
Basic vocabulary: words, idioms, and phrases in context Reading and comprehension Narrative sequencing
Data interpretation: 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
Logic: deduction and induction, Analogy, Numerical relations and reasoning
Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping
Paper folding, cutting, and patterns in 2 and 3 dimensions
Overall syllabus just gives an idea about what are all the subjects present. But it is important to know topics and sub-topics within each subject to get a clear idea of the task at hand. And the same is provided below.
PART A: Common
Engineering Mathematics - Surveying measurements, Accuracy, Precision, most probable value, Errors and adjustments, Regression analysis, Correlation coefficient, Least square adjustment, Statistical significant value, Chi-square test.
Remote Sensing - Basic concept, Electromagnetic spectrum, Spectral signature, Resolutions Spectral. 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 Modelling and Network analysis.
PART B: Section I
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 levelling, 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 II
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, Colour transformations (RGB - IHS, CMYK), Indices (Ratios, NDVI, NDWI).
Image Segmentation and Classification – Simple techniques.
GATE 2022 GE Paper Analysis
Going through GATE 2022 GE Paper Analysis could give an idea of how the paper is divided subject-wise. GATE 2022 GE Paper Analysis is already covered completely, but here we have provided a graph showing the subject-wise weightage.
For in-depth analysis, check out GATE 2022 GE Paper Analysis.
Who can write GATE GE as the second paper?
GATE 2021 introduced the option to write two GATE papers in the same year and the same will be continued for all the upcoming GATE exams. But there are certain paper combinations to follow, which we have covered in our GATE 2023 blog. Here we provide the detail of which papers are eligible as the first paper for writing GE as the second paper.
Agricultural Engineering (AG)
Architecture and Planning (AR)
Environmental Science and Engineering (ES)
Civil Engineering (CE)
Electronics and Communication Engineering (EC)
Computer Science and Information Technology (CS)
Naval Architecture and Marine Engineering (NM)
Mining Engineering (MN)
Download GATE GE Complete Syllabus
Download GATE 2022 GE Question Paper
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Disclaimer: This syllabus is as per the previous year i.e., GATE 2022. Though there will be no major changes in the syllabus, there might be some minor changes. In September, an official notification will be released along with the official syllabus from IIT Kanpur. Until then, this syllabus could be used for preparations with no doubt ;)