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GATE Geomatics Engineering Video Lectures Schedule 2027

GATE Geomatics Engineering is the part of Civil Engineering. And most of Civil Engineering students appear for GATE GE Paper. You are at a right place, If you are looking for a study material for Geomatics paper preparation.

GATE Geomatics Engineering Video Lectures 2027

We have launched GATE Geomatics Engineering video lectures including General Aptitude and Engineering Maths topics. On FindMyTest, aspirants can get recorded lectures with PDFs for a better preparation.

Geomatics Engineering GATE Lectures 2027 Schedule

There we are sharing Geomatics Engineering GATE Lectures Schedule for 2027 Paper. We tried to cover almost whole syllabus in our lectures, check the topic and schedule of GATE GE by FindMyTest.

GATE Geomatics Engineering Video Lectures

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S.NoLecture Topic NameVideo Live Date
Part A: Common
Engineering Mathematics (12 Lectures)
Lecture 1: Introduction to Surveying Measurements15th July 2026
Lecture 2: Accuracy and Precision20th July 2026
Lecture 3: Most Probable Value25th July 2026
Lecture 4: Types of Errors30th July 2026
Lecture 5: Error Propagation2nd June 20256
Lecture 6: Adjustment of Observations (Introduction)6th Aug 2026
Lecture 7: Adjustment by Least Squares (Theory)8th Aug 2026
Lecture 8: Normal Equations in Least Squares11th Aug 2026
Lecture 9: Regression Analysis (Basics)13th Aug 2026
Lecture 10: Correlation Coefficient: Meaning and Calculation15th Aug 2026
Lecture 11: Statistical Significance (p-value, examples)17th Aug 2026
Lecture 12: Chi-Square Test for Hypothesis Testing19th Aug 2026
Remote Sensing (14 Lectures)
Lecture 13: Introduction to Remote Sensing21st Aug 2026
Lecture 14: Electromagnetic Spectrum in Remote Sensing23rd Aug 2026
Lecture 15: Atmospheric Windows and Absorption25th Aug 2026
Lecture 16: Spectral Signatures: Vegetation, Water, Soil27th Aug 2026
Lecture 17: Spectral Resolution30th Aug 2026
Lecture 18: Spatial Resolution1st Sept 2026
Lecture 19: Temporal Resolution2nd Sept 2026
Lecture 20: Radiometric Resolution3rd Sept 2026
Lecture 21: Platforms: Ground, Airborne, Spaceborne4th Sept 2026
Lecture 22: Sensors – PAN, Multispectral5th Sept 2026
Lecture 23: Sensors – Microwave, Thermal Sensors7th Sept 202
Lecture 24: Hyperspectral Remote Sensing10th Sept 2026
Lecture 25: Visual Interpretation Techniques11th Sept 2026
Lecture 26: Digital Interpretation Techniques12th Sept 2026
GNSS (7 Lectures)

Part B2: Image Processing and Analysis
Lecture 27: GNSS Basic Principles13th Sept 2026
Lecture 28: GNSS Components (Space, Control, User Segments)14th Sept 202
Lecture 29: GNSS Data Collection Techniques15th Sept 2026
Lecture 30: GNSS Coordinate Systems19th Sept 2026
Lecture 31: DGPS – Working Mechanism21st Sept 2026
Lecture 32: GNSS Error Sources23rd Sept 2026
Lecture 33: Correction Techniques (SBAS, GBAS)24th Sept 2026
GIS (13 Lectures)Lecture 34: Introduction to GIS25th Sept 2026
Lecture 35: GIS Data Sources: Field Data, Maps, Satellites27th Sept 2026
Lecture 36: Raster Data Model29th Sept 2026
Lecture 37: Vector Data Model1st Oct 2026
Lecture 38: TIN and Hybrid Data Models2nd Oct 2026
Lecture 39: Topology and Non-topology Models3rd Oct 2026
Lecture 40: Attribute Data and DBMS4th Oct 2026
Lecture 41: Spatial Databases Creation5th Oct 2026
Lecture 42: Non-spatial Databases Creation6th Oct 2026
Lecture 43: Interpolation Techniques7th Oct 2026
Lecture 44: Buffer Analysis8th Oct 2026
Lecture 45: Overlay Analysis9th Oct 2026
Lecture 46: Terrain Modeling and Network Analysis11th Oct 2026
Part B1: Surveying and Mapping
Maps and Projections (8 Lectures)
Lecture 47: Importance of Maps13th Oct 2026
Lecture 48: Types of Maps and Their Usage15th Oct 2026
Lecture 49: Map Scales (Types and Computations)16th Oct 2026
Lecture 50: Plotting Accuracy and Map Sheet Numbering17th Oct 2026
Lecture 51: Cartesian Coordinate Systems19th Oct 2026
Lecture 52: Geographical Coordinate Systems20th Oct 2026
Lecture 53: Map Projections Overview21st Oct 2026
Lecture 54: Datum Concepts: Geoid, Spheroid, WGS-8422nd Oct 2026
Land Surveying (12 Lectures)Lecture 55: Types of Levels and Leveling Instruments
25th Oct 2026
Lecture 56: Leveling Methods (Differential, Profile)26th Oct 2026
Lecture 57: Levelling Error Sources and Corrections27th Oct 2026
Lecture 58: Compass Surveying: Working Principles29th Oct 2025
Lecture 59: Compass Survey: Calculation of Bearings30th Oct 2026
Lecture 60: Theodolite Surveying: Instrument Setup1st Nov 2026
Lecture 61: Theodolite Measurement Techniques2nd Nov 2026
Lecture 62: Total Station Overview3rd Nov 202
Lecture 63: Total Station Data Collection4th Nov 20256
Lecture 64: Tacheometric Survey: Basics5th Nov 2026
Lecture 65: Trigonometric Leveling6th Nov 2026
Lecture 66: Traversing, Triangulation, Trilateration
Aerial
7th Nov 2026
Photogrammetry (7 Lectures)Lecture 67: Types of Aerial Photographs8th Nov 2026
Lecture 68: Flying Height, Scale, and Ground Coverage9th Nov 202
Lecture 69: Relief Displacement and Its Computation10th Nov 20256
Lecture 70: Basics of Stereoscopy11th Nov 2026
Lecture 71: Building 3D Models from Stereo Images12th Nov 2026
Lecture 72: Height Determination using Parallax13th Nov 2026
Lecture 73: DEM Generation, Slope Derivation14th Nov 202
Part B2: Image Processing and Analysis
Data Quantization and Fourier Transform (6 Lectures)
Lecture 74: Sampling and Quantization Theory15th Nov 2026
Lecture 75: Concept of Aliasing16th Nov 2026
Lecture 76: Linear System Principles17th Nov 20256
Lecture 77: Convolution Operation (1D, 2D)18th Nov 2026
Lecture 78: Continuous Fourier Transform19th Nov 2026
Lecture 79: Discrete Fourier Transform20th Nov 2026
Digital Image Processing (8 Lectures)Lecture 80: Digital Image Characteristics21st Nov 2026
Lecture 81: Image Histograms and Interpretations22nd Nov 2026
Lecture 82: Scattergrams in Image Analysis23rd Nov 2026
Lecture 83: Variance-Covariance Matrix Meaning24th Nov 2026
Lecture 84: Correlation Matrix Meaning24th Nov 2026
Lecture 85: Radiometric Correction Overview25th Nov 2026
Lecture 86: Geometric Correction Overview25th Nov 2026
Lecture 87: Registration and Resampling Techniques26th Nov 2026
Image Enhancement, Transformation, Classification (9 Lectures)Lecture 88: Linear Contrast Enhancement26th Nov 2026
Lecture 89: Non-linear Contrast Enhancement26th Nov 2026
Lecture 90: Spatial Enhancement – Noise Filters27th Nov 2026
Lecture 91: Spatial Enhancement – Edge Enhancement27th Nov 2026
Lecture 92: Principal Component Analysis (PCA)27th Nov 2026
Lecture 93: Discriminant Analysis28th Nov 2026
Lecture 94: Color Transformation (RGB to IHS, CMYK)28th Nov 2026
Lecture 95: Vegetation Indices (NDVI, NDWI)29th Nov 2026
Lecture 96: Simple Image Segmentation and Classification30th Nov 2026

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