Program Description

This course strategically integrates surveying methodologies and mapping techniques tailored specifically for Civil Infrastructure projects using QGIS Software. It provides a deep dive into the latest technologies and tools crucial in the civil engineering landscape. Aimed at engineer’s keen on understanding the geospatial intricacies of Civil Infrastructure projects, this course captures the fundamentals of location technology within the context of infrastructure development. Learners gain insights into geospatial components essential for addressing real-world challenges in the Civil Infrastructure sector.

Course Objectives

  • To grasp QGIS fundamentals for its practical application in Civil Engineering.
  • To explore proven GIS concepts, business practices, and their applications.
  • To utilize GIS for optimizing project planning and design in civil infrastructure.
  • To understand geospatial analysis for informed decisions in site selection, route planning, and layout.
  • To develop skills in creating visually impactful map layouts using QGIS.

Key Highlights

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Geographic Information System.

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GIS Database Management.

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Working with Data.

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Exploring Maps.

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Georeferencing and Digitization.

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Spatial Analysis.

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Feature Class Analysis.

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Terrain Analysis.

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DEM Analysis.

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Visualization of World.

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3D Maps.

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Web and Mobile App Maps.

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Digital Twin.

Course enrollment data

Learning Format

Online

Duration

5 Units

Certified by

IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras and
L&T EduTech

Program Fee

₹1900 (inclusive of tax)

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Program Description

Education Qualification

Students pursuing Diploma / UG Programs in Civil, Mechanical, Electrical & Electronics and other allied branches

Suggested Prerequisites

Basics of Surveying

Teaching Hours

10 hours

Lead Faculty

Mr. Thangaperumal S Geospatial Technology-Subject Matter Expert at L&T EduTech.

With over 8 years of professional instructional and research experience, he possesses comprehensive expertise in ESRI ArcGIS Pro, ArcGIS Online, and its extensions. Proficient in QGIS, ERDAS IMAGINE, ENVI, Google Earth Engine, IDRISI Selva Edition, TerrSet, and AutoCAD 2D-3D, he excels in a diverse range of geospatial tools. He is adept in spatial analysis techniques such as 2D and 3D analysis, model automation, and web map creation across these platforms. His current research focuses on GIS-based solutions for forest mapping. His dedication extends to research and publications, with over 15 research papers in esteemed journals and active participation in national and international conferences. Additionally, he is an expert in remote sensing, geographical information systems, GNSS & GPS surveying, LiDAR surveying, and UAV (Drone) surveying

Learning Schedule

Introduction to QGIS, QGIS Features, Downloading and Installing QGIS 3.0, QGIS Interface (Toolbars, Panels & Plugins), Working with Shapefiles, The Measure and Identify Tools, Adding Attribute Data- Field Calculator & Selection Feature, Coordinate Systems and Projections, The Style Manager

Exploring Base Maps and GPS Data, Conversion of Excel to QGIS, Conversion of CAD TO QGIS, Georeferencing & Digitization Techniques for Toposheet, Open Street Maps and Google Earth Images, Creating Thematic Maps: Choropleth, Graduated Symbol, Heat & Dot Distribution Maps. Overview of QGIS in Civil Infrastructure Projects, Incorporating Geospatial Data in Civil Infrastructure Projects.

Harnessing QGIS Software for Spatial Analysis: Attribute Analysis, Spatial Relationships, Overlay Analysis, Buffer Analysis, Cluster Analysis, Hotspot and Trend Analysis, Viewshed Analysis, Network Analysis, Topology Analysis, Field Statistics Analysis, Proximity Analysis.

Exploring QGIS Software for Feature Class Analysis: Satellite Image Processing, Supervised and Unsupervised Classification, Change Detection Analysis. Leveraging QGIS Software for Terrain Analysis: Slope, Aspect & Elevation, Catchment Area delineation, Watershed Analysis.

Utilizing QGIS Software for Engineering Analysis: Profiling and Cross-Sectioning Maps, Auto Building Footprints Extraction in QGIS, creating 3D Maps, Building Web Maps for Project Visualization, Deploying Mobile App Maps with Qfield for QGIS, Integrating BIM and QGIS for Digital Twin Applications.



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