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SYLLABUS GATE Geomatics Engineering Syllabus 2027: GE PDF and Exam Pattern
GATE GE syllabus 2027 with the official PDF, 100-mark exam pattern and complete section-wise topic tables for Geomatics Engineering.
Updated:
GATE GE syllabus 2027Geomatics EngineeringGATE 2027 PDFIIT Madras
Use the available GATE GE Syllabus 2027 download resources and review the detailed syllabus, unit-wise topics, exam pattern information, preparation guidance below.
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Key Highlights
- GE is the official GATE code for Geomatics Engineering.
- The official syllabus contains 3 sections: Common Section; Surveying and Mapping; Image Processing and Analysis.
- The paper is a 3-hour Computer-Based Test for 100 marks, including 15 marks of General Aptitude.
- Allowed second-paper codes when GE is primary: AR, CE, CS, ES, GG.
- The official IIT Madras PDF is available in the download section.
GATE GE Syllabus 2027 Overview
The official GATE GE syllabus 2027 has a common Part A and a choice between Part B1 Surveying and Mapping and Part B2 Image Processing and Analysis. This page converts each part into a concise topic table so aspirants can distinguish compulsory geomatics foundations from the specialist option they will answer in the exam.
How the GATE GE Optional Part Works
- Part A is compulsory and covers Engineering Mathematics, Remote Sensing, GNSS and GIS.
- Choose Part B1 Surveying and Mapping or Part B2 Image Processing and Analysis during the examination.
- GATE provides one GE score and rank; it does not issue separate ranks for the two Part B choices.
How to Prepare from the GATE GE Syllabus
- Create one checklist for every official section and retain the same sequence used in the PDF.
- Start with a diagnostic test, then allocate more study time to weak high-coverage sections instead of dividing time equally.
- Solve previous-year GATE questions immediately after completing each topic and record errors by concept, calculation and time pressure.
- Revise formulas, definitions and frequently confused conditions in short weekly cycles, followed by mixed-section tests.
- Use the official PDF as the final scope document; coaching notes should expand a listed topic, not introduce an unrelated syllabus.
GATE GE Official Source and Internal Links
The syllabus tables were checked against the IIT Madras GATE 2027 GE PDF. Use the download section for the database-hosted copy, the GATE syllabus hub to switch papers, and the notification page for registration dates and policy updates.
Exam Pattern
GATE GE Exam Pattern 2027
| Section | Marks | How it applies |
|---|---|---|
| General Aptitude | 15 | Common section |
| GE Part A | 55 | Common Geomatics section |
| GE Part B1 or B2 | 30 | Surveying and Mapping or Image Processing and Analysis; selected during the exam |
| Total | 100 | 3-hour CBT |
General Aptitude
Marks
15
How it applies
Common section
GE Part A
Marks
55
How it applies
Common Geomatics section
GE Part B1 or B2
Marks
30
How it applies
Surveying and Mapping or Image Processing and Analysis; selected during the exam
Total
Marks
100
How it applies
3-hour CBT
GATE GE Question and Marking Rules
| Question type | Possible marks | Negative marking |
|---|---|---|
| MCQ | 1 or 2 | Yes: 1/3 for a wrong 1-mark MCQ; 2/3 for a wrong 2-mark MCQ |
| MSQ | 1 or 2 | No negative marking and no partial marking |
| NAT | 1 or 2 | No negative marking |
MCQ
Possible marks
1 or 2
Negative marking
Yes: 1/3 for a wrong 1-mark MCQ; 2/3 for a wrong 2-mark MCQ
MSQ
Possible marks
1 or 2
Negative marking
No negative marking and no partial marking
NAT
Possible marks
1 or 2
Negative marking
No negative marking
Syllabus Breakdown
GATE GE Syllabus 2027 - Official Section-wise Topics
The tables below preserve the section order and complete topic coverage published by IIT Madras for the GATE 2027 GE paper. Use each table as a study and revision checklist, and verify any later corrigendum against the official PDF.
Part A: Common Section
| Topic area | Official syllabus coverage |
|---|---|
| Engineering Mathematics | Surveying measurements, Accuracy, Precision, Most probable value, Errors and their adjustments, Regression analysis, Correlation coefficient, Least squares adjustment, Statistical significant value, Chi-square test. |
| Remote Sensing | Basic concept, Physical Principles of Remote Sensing, Spectral signature, Resolutions: Spectral. Spatial, Temporal, Radiometric, Platforms and Sensors, Remote Sensing Data Products - PAN, Multispectral, Microwave, Thermal, Hyperspectral data; 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, DBMS, Creation of Databases (spatial and non-spatial), Basic Spatial analysis: Interpolation, Buffer, Overlay, Terrain Modeling and Network analysis. |
| Topic area | Official syllabus coverage |
|---|---|
| Engineering Mathematics | Surveying measurements, Accuracy, Precision, Most probable value, Errors and their adjustments, Regression analysis, Correlation coefficient, Least squares adjustment, Statistical significant value, Chi-square test. |
| Remote Sensing | Basic concept, Physical Principles of Remote Sensing, Spectral signature, Resolutions: Spectral. Spatial, Temporal, Radiometric, Platforms and Sensors, Remote Sensing Data Products - PAN, Multispectral, Microwave, Thermal, Hyperspectral data; 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, DBMS, Creation of Databases (spatial and non-spatial), Basic Spatial analysis: Interpolation, Buffer, Overlay, Terrain Modeling and Network analysis. |
Part B1: Surveying and Mapping
| Topic area | Official syllabus coverage |
|---|---|
| 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 | Levelling instruments, Levelling methods, Compass, Theodolite, Total Station and COGO functions, Tachometer, Trigonometric levelling, Traversing, Triangulation and Trilateration. |
| Aerial Photogrammetry | Types of photographs, Flying height and scale, Relief (height) displacement, Stereoscopy, Height determination using Parallax Bar, Digital Elevation Model (DEM). |
| Topic area | Official syllabus coverage |
|---|---|
| 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 | Levelling instruments, Levelling methods, Compass, Theodolite, Total Station and COGO functions, Tachometer, Trigonometric levelling, Traversing, Triangulation and Trilateration. |
| Aerial Photogrammetry | Types of photographs, Flying height and scale, Relief (height) displacement, Stereoscopy, Height determination using Parallax Bar, Digital Elevation Model (DEM). |
Part B2: Image Processing and Analysis
| Topic area | Official syllabus coverage |
|---|---|
| Data Quantization and Processing | Sampling and quantization theory Principle of Linear System, Convolution. |
| Digital Image Processing | Digital image characteristics: image histogram and scattergram and their significance, Variance-Covariance and Correlation matrix and their significance. |
| Basic Radiometric and Geometric Corrections | Registration and Resampling techniques. |
| Image Enhancement | Spatial Enhancement: Noise and Spatial filters, Contrast Enhancement: Linear and Non - linear methods. |
| Image Transformation | Principal Component Analysis (PCA), Discriminant Analysis, Color transformations (RGB - IHS, CMYK), Indices (Ratios, NDVI, NDWI). |
| Basic Image Classification and Segmentation | Supervised and unsupervised techniques, accuracy analysis. |
| Topic area | Official syllabus coverage |
|---|---|
| Data Quantization and Processing | Sampling and quantization theory Principle of Linear System, Convolution. |
| Digital Image Processing | Digital image characteristics: image histogram and scattergram and their significance, Variance-Covariance and Correlation matrix and their significance. |
| Basic Radiometric and Geometric Corrections | Registration and Resampling techniques. |
| Image Enhancement | Spatial Enhancement: Noise and Spatial filters, Contrast Enhancement: Linear and Non - linear methods. |
| Image Transformation | Principal Component Analysis (PCA), Discriminant Analysis, Color transformations (RGB - IHS, CMYK), Indices (Ratios, NDVI, NDWI). |
| Basic Image Classification and Segmentation | Supervised and unsupervised techniques, accuracy analysis. |
Download Official PDFs & Question Papers
Official GATE GE Syllabus 2027 PDF
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Frequently Asked Questions
Use the featured PDF button on this page. It opens the database-hosted copy of the official IIT Madras GE syllabus.
Yes. General Aptitude is compulsory in every GATE 2027 test paper and carries 15 marks.
The paper uses Multiple Choice Questions, Multiple Select Questions and Numerical Answer Type questions carrying one or two marks.
Negative marking applies only to incorrect MCQs. MSQ and NAT questions have no negative marking, and MSQs have no partial marking.
Follow the official section order, complete topic-level concepts and examples, solve previous-year questions after each unit, and use full-length mock tests only after completing the major sections.