GIS & Remote Sensing for Infrastructure

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KHUDKIBOOK
GIS & REMOTE 2164009
FREE PDF 2164009
Code: 2164009 Credits: 5 Semester 6 Civil Infra

GIS & Remote Sensing for Infrastructure

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

GIS & Remote Sensing for Infrastructure Syllabus — Unit-wise Content

The official GTU curriculum for GIS & Remote Sensing for Infrastructure (subject code 2164009) as prescribed for Civil Infra · Semester 6 divides the course into 5 units, covering 49 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (2164009)

Unit 1 Module-I INTRODUCTION

4 lecture hours

  • Introduction to geo-informatics
  • Conventional methods of mapping
  • Advanced methods of mapping
  • Comparison of methods

Unit 2 Module-II REMOTE SENSING

9 lecture hours

  • Introduction to Aerial Photogrammetry
  • Introduction to Electromagnetic Spectrum (EMR)
  • interaction of EMR with atmosphere and target
  • Resolutions: Spatial
  • spectral and radiometric
  • sensor characteristics
  • satellite data products
  • digital imaging
  • digital image processing
  • visual image interpretation and microwave remote sensing

Unit 3 Module-III

9 lecture hours

  • GNSS and SCANNERS: Global Navigation Satellite System (GNSS) basic concepts
  • GPS (NAVSTAR)
  • GLONASS and Indian Regional Navigation Satellite System (IRNSS)
  • Functional segments of GPS and components
  • Working principle
  • factors affecting
  • GPS setup and accessories
  • satellites & receivers
  • Differential GPS (DGPS)
  • Applications of GNSS
  • Scanners: Introduction
  • Principle and Application

Unit 4 Module-IV

10 lecture hours

  • GIS: Structure of GIS: Cartography
  • Geographic mapping process
  • GIS data models
  • database management systems
  • Raster data representation
  • Vector data representation
  • map projections
  • Geographic Data Representation
  • Quality and Standards
  • Assessment of data quality
  • Managing data errors
  • Geographic data standards
  • GIS Data Processing
  • Analysis and Modeling: Raster based GIS data processing – Vector based GIS data processing – Queries – Spatial analysis – Descriptive statistics – Spatial autocorrelation–Quadrant counts, and nearest neighbor analysis – Network analysis – Surface modeling – DEM

Unit 5 Module-V Application of Geoinformatics in Infrastructure projects

12 lecture hours

  • Case studies of applications of geo-informatics to following areas: a
  • Environmental Impact Assessment b
  • Water Resources Management c
  • Transportation (Traffic evaluation
  • Intelligent Transportation System
  • Traffic management System). d
  • Town Planning. e
  • Geology (Site identification for an Infrastructure project) f
  • Disaster Management

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