Includes surveying, geographic information systems (GIS), remote sensing, and geospatial analysis, for applications in mapping and urban planning.

GATE Geomatics Engineering

Official 2025 syllabus extracted from https://gate2025.iitr.ac.in/doc/2025/GATE%20_GE_2025_Syllabus.pdf

Part-A: Common

Surveying measurements

Accuracy and precision

Most probable value

Errors and their adjustments

Regression analysis

Correlation coefficient

Least square adjustment

Statistical significant value

Chi-square test

Engineering Mathematics

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

Remote Sensing

Principle of GNSS

Components of GNSS

Data collection methods

DGPS

Errors in observations and corrections

GNSS

Introduction to GIS

Data sources

Data models and data structures

Algorithms

DBMS

Creation of databases: spatial and non-spatial

Spatial analysis: interpolation, buffer, overlay

Terrain modeling

Network analysis

Part-B1: Surveying and Mapping

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

Maps

Various levels and levelling methods

Compass, theodolite, total station and their uses

Tachometer

Trigonometric levelling

Traversing

Triangulation and trilateration

Land Surveying

Types of photographs

Flying height and scale

Relief (height) displacement

Stereoscopy

3-D model

Height determination using Parallax Bar

Digital Elevation Model (DEM)

Slope

Aerial Photogrammetry

Part-B2: Image Processing and Analysis

Sampling and quantization theory

Principle of linear system

Convolution

Continuous and discrete Fourier transform

Data Quantization and Processing

Image histogram and scattergram and their significance

Variance-covariance matrix

Correlation matrix and significance

Digital Image Processing

Registration techniques

Resampling techniques

Radiometric and Geometric Corrections

Contrast enhancement: linear and non-linear methods

Spatial enhancement: noise and spatial filters

Image Enhancement

Principal Component Analysis (PCA)

Discriminant analysis

Colour transformations: RGB-IHS, CMYK

Indices: ratios, NDVI, NDWI

Image Transformation

Simple image segmentation techniques

Simple classification techniques

Image Segmentation and Classification

GATE Geomatics Engineering Syllabus 2025, 2026 and more: Subjects, Topics, and What to Study