Advanced Geomatics Engineering

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Advanced Geomatics Engineering

Engineering Academy

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Duration 1988 Min

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Language English

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Why enroll

This course is ideal for postgraduate students, surveying professionals, civil engineers, and geospatial analysts who want to upgrade their skills in modern geomatics technologies. With rapid advancements in satellite navigation, remote sensing platforms, and geospatial analytics, traditional surveying methods alone are no longer sufficient for today’s engineering demands.

Enrolling in this course helps learners:

Gain expertise in cutting-edge geospatial technologies
Improve accuracy and efficiency in surveying and mapping
Develop skills for smart infrastructure and urban planning
Enhance career opportunities in geomatics, GIS, and remote sensing
Prepare for research, consultancy, and high-end technical roles

The course is particularly valuable for professionals working in transportation, urban development, environmental engineering, mining, hydrology, and disaster risk management.

Opportunities that awaits you!

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Career opportunities

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

Advanced Geomatics Engineering

60 Lectures

1988 min

Lecture 01: Introduction to Geomatics Engineering
Preview
35 min
Lecture 02: Various Applications of Geomatics Engineering
32 min
Lecture 03: Photogrammetry – An Introduction
28 min
Lecture 04: Photogrammetry- Geometry of Aerial Photographs
25 min
Lecture 05: Photogrammetry- Scale of Aerial Photographs
41 min
Lecture 06: Photogrammetry - Relief Displacment
34 min
Lecture 07: Photogrammetry - Stereo Pairs and Stereovision
26 min
Lecture 08: Photogrammetry - Stereovision with Stereoscopes
28 min
Lecture 09: Photogrammetry - Parallax in Photographs
33 min
Lecture 10: Height Determination from Stereo-Pairs
33 min
Lecture 11: Photogrammetry - 3D Mapping, DEM, DTM, and DSM
38 min
Lecture 12: Digital Photogrammetry
30 min
Lecture 13: Remote Sensing - An Introduction
37 min
Lecture 14: Remote Sensing - Electromagnetic Spectrum
27 min
Lecture 15: Remote Sensing - Energy Interaction with Atmosphere / Earth Surface
34 min
Lecture 16: Remote Sensing - Blackbody and Atmospheric Window
32 min
Lecture 17: Spectral Signature in Remote Sensing
39 min
Lecture 18: Remote Sensing - Types of Resolutions
40 min
Lecture 19: Multi-concepts in Remote Sensing
29 min
Lecture 20: Remote Sensing - Satellite Orbits
33 min
Lecture 21: Remote Sensing - Various Sensors
29 min
Lecture 22: Remote Sensing Sensors and Platforms - I
36 min
Lecture 23: Remote Sensing Sensors and Platforms - II
33 min
Lecture 24: Very High Resolution Remote Sensing Data
37 min
Lecture 25: Remote Sensing - Thermal, Microwave, and Hyperspectral Images
39 min
Lecture 26: Remote Sensing - Visual Interpretation Method
34 min
Lecture 27: GPS Surveying - Introduction and Components
33 min
Lecture 28: GPS Surveying - Working Principle
24 min
Lecture 29: GPS Surveying - Various Methods
32 min
Lecture 30: GPS Surveying - Sources of Errors
30 min
Lecture 31: GPS - Applications
37 min
Lecture 32: LiDAR - An Introduction
32 min
Lecture 33: Data Collection with Mobile Laser Scanners
25 min
Lecture 34: Data Collection with Airborne LiDAR Systems
34 min
Lecture 35: Unmanned Aerial Vehicles - An Introduction
36 min
Lecture 36: Classifications of UAVs/Drones
31 min
Lecture 37: Various Components of Drone and Their Functions
32 min
Lecture 38: Flying Drones for Data Collection
31 min
Lecture 39: Unmanned Aerial Vehicles - Various Applications
34 min
Lecture 40: Digital Image Processing - An Introduction
33 min
Lecture 41: Preprocessing - Atmospheric Corrections
32 min
Lecture 42: Pre-processing - Geometric Corrections
36 min
Lecture 43: Pre-processing – Resampling Methods
29 min
Lecture 44: Digital Image Enhancement Methods
37 min
Lecture 45: Spatial Filtering in Digital Remote Sensing
36 min
Lecture 46: Digital Image Transformation Methods
38 min
Lecture 47: Supervised Classification Methods
28 min
Lecture 48: Unsupervised Classification Methods
31 min
Lecture 49: Accuracy Assessment of Classification
32 min
Lecture 50: Geographic Information System - An Introduction
39 min
Lecture 51: Various Components of a GIS
39 min
Lecture 52: GIS - Various Data Types and Their Characteristics
37 min
Lecture 53: Geographic Information System - Data Input
32 min
Lecture 54: GIS Databases and Their Uses
33 min
Lecture 55: GIS - Based Extraction of Parameters from DEM
35 min
Lecture 56: Buffering and Overlay Analysis in GIS
32 min
Lecture 57: Spatial and Network Analysis in GIS
42 min
Lecture 58: Geomatics Applications - Site Suitability Analysis
28 min
Lecture 59: Geomatics Applications - Transportation Route Planning
32 min
Lecture 60: Geomatics Applications - Smart City Planning
34 min

Course details

The Advanced Geomatics Engineering course focuses on modern techniques for the acquisition, processing, analysis, and visualization of spatial and geospatial data used in civil engineering, infrastructure planning, environmental management, and smart city development. The course integrates advanced surveying methods with satellite-based positioning systems, remote sensing technologies, and Geographic Information Systems (GIS) to support precise decision-making in engineering applications.

The course begins with advanced principles of geodetic and engineering surveying, addressing high-precision measurements, reference systems, and error analysis. Learners then explore Global Navigation Satellite Systems (GNSS), including differential positioning, Real-Time Kinematic (RTK), and network-based corrections. The course further covers remote sensing technologies, such as multispectral and hyperspectral imaging, LiDAR, and UAV-based data acquisition.

A major emphasis is placed on spatial data modeling and GIS-based analysis, enabling learners to integrate multiple datasets, perform spatial analysis, and develop geospatial solutions for large-scale infrastructure and environmental projects. The course also introduces emerging geomatics applications, including 3D city modeling, digital twins, deformation monitoring, and geospatial support for disaster management.

By the end of the course, learners acquire the technical skills needed to design, manage, and implement advanced geomatics solutions for complex engineering challenges.

SOURCE- YOUTUBE [NPTEL IIT Roorkee]

Course suitable for

Oil & Gas
Aerospace
Rail & Transport
Civil & Structural
Geoscience
Instrumentation

Key topics covered

Advanced geodetic and engineering surveying techniques
Coordinate systems, datums, and reference frames
Error theory, adjustment computation, and least squares methods
Global Navigation Satellite Systems (GNSS) fundamentals
Differential GPS, RTK, and network-based positioning
Satellite orbits, signal structure, and positioning accuracy
Remote sensing principles and electromagnetic spectrum
Multispectral, hyperspectral, and thermal imaging
LiDAR systems and point cloud processing
UAV-based data acquisition and photogrammetry
Digital image processing and feature extraction
Geographic Information Systems (GIS) data models
Spatial analysis and geoprocessing techniques
3D GIS, city modeling, and digital twins
Deformation monitoring and geotechnical applications
Geomatics applications in disaster management
Integration of geomatics with BIM and smart cities

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Mumbai, India

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