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APPLICATION OF REMOTE
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BE05000441
Code: BE05000441
Credits: 2
Semester 5
Electrical Engineering
Application of Remote Sensing and GIS in Engineering
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Follow on Instagram for UpdatesApplication of Remote Sensing and GIS in Engineering Syllabus — Unit-wise Content
The official GTU curriculum for Application of Remote Sensing and GIS in Engineering (subject code BE05000441) as prescribed for Electrical Engineering · Semester 5 divides the course into 7 units, covering 42 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 (BE05000441)Unit 1 FUNDAMENTALS OF REMOTE SENSING
- Introduction to Remote Sensing: Definition
- components, and role in multidisciplinary applications. Types of Remote Sensing: Active and Passive systems with real-world examples (weather radar
- satellite imaging). Electromagnetic Spectrum: Basic concepts and relevance in environmental monitoring
- imaging systems, and sensor design. Interaction of EMR with Atmosphere: Scattering
- atmospheric windows and implications for weather
- climate, and communication systems. Interaction of EMR with Earth’s Surface: Spectral signatures of natural and built features (vegetation
- urban areas). Introduction to freely available satellite data and platforms (Bhuvan
- Copernicus). Basic visual interpretation using tools like Google Earth
Unit 2 REMOTE SENSING DATA PRODUCTS
- Types and classification of remote sensing data products (optical
- microwave). Spatial
- radiometric, and temporal resolutions. Freely available RS datasets: Bhuvan
- USGS Earth Explorer
- Copernicus Open Access Hub. Overview of modern satellite missions (e.g.
- Landsat). Introduction to UAV/Drone-based remote sensing and its applications. Data formats
- metadata, and data preprocessing basics
Unit 3 INTRODUCTION TO GEOGRAPHIC INFORMATION SYSTEM
- Definition and scope of GIS in multidisciplinary applications (engineering
- environment, IT, business analytics). Components of GIS (hardware
- people). Spatial vs Non-spatial data and their integration. Data input/output methods (manual, GPS, remote sensing
- APIs). Data standards and formats (Shapefile
- KML). Coordinate systems and map projections
- georeferencing concepts. Introduction to spatial data infrastructure and open data ecosystems
- Program Name: Bachelor of Engineering Level: UG Branch: ALL (Except Civil Engineering and Allied Branches) Subject Code: BE05000441 Subject Name: Application of RS and GIS in Engineering
Unit 4 RS-GIS SOFTWARE AND OPEN PLATFORMS
- Overview of GIS and image processing software (QGIS
- Google Earth Engine). Capabilities and limitations of open-source vs commercial tools. Data management and visualization in GIS platforms. Spatial data models: Raster and Vector. Attribute data management and database basics. Open GIS data sources: OpenStreetMap
- Natural Earth
- Bhuvan. Mobile GIS tools (QField
- SW Maps) and field data collection. Introduction to Web GIS and cloud-based geospatial platforms
Unit 5 IMAGE INTERPRETATION AND DIGITAL IMAGE PROCESSING
- Digital image fundamentals: sensors
- image formats, and visualization. Visual interpretation techniques: tone
- association using tools like Google Earth. Image processing techniques: NDVI
- change detection. Image enhancement: contrast stretching
- band combinations. Image rectification and restoration. Introduction to AI/ML-based classification concepts (non- mathematical overview)
Unit 6 GIS SPATIAL DATA ANALYSIS
- Spatial and non-spatial data operations in GIS. Raster vs Vector analysis in QGIS. Terrain analysis using DEM: slope
- drainage network. Introduction to Python in GIS (conceptual exposure for IT/AI students). Use of GIS plugins and processing tools. Basics of spatial modeling and decision support systems
Unit 7 APPLICATION OF REMOTE SENSING & GIS
- Smart cities
- urban analytics, and infrastructure planning. Climate change monitoring and sustainability assessment. Disaster management: floods
- earthquakes (real-time monitoring). Agriculture and environmental applications (crop monitoring
- deforestation). Introduction to Web-GIS and geospatial dashboards. Case studies using free datasets (Bhuvan flood maps
- Sentinel LULC mapping)
- Program Name: Bachelor of Engineering Level: UG Branch: ALL (Except Civil Engineering and Allied Branches) Subject Code: BE05000441 Subject Name: Application of RS and GIS in Engineering Emerging trends: AI/ML in geospatial analysis
- IoT integration
- big geospatial data
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