Remote Sensing And Spatial Data Analysis
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Follow on Instagram for UpdatesRemote Sensing And Spatial Data Analysis Syllabus — Unit-wise Content
The official GTU curriculum for Remote Sensing And Spatial Data Analysis (subject code ME01033031) as prescribed for C(RE · Semester 1 divides the course into 5 units, covering 37 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 (ME01033031)Unit 1 Introduction to geospatial technologies
- Fundamentals of remote sensing
- remote sensing principles and techniques
- types of remote sensing
- Electromagnetic spectrum
- interaction of EMR, atmospheric window
- remote sensing usefulness in water resources engineering
- Different remote sensing missions. 9
Unit 2 Image processing
- Image interpretation
- Image enhancement and visualization
- Image classification techniques
- techniques of data acquisition
- satellite and sensors
- digital image processing
- types of resolutions. 9
Unit 3 Introduction to GPS
- Working principles of GPS, measurement and mapping techniques
- Drone technology and its applications
- Introduction to GIS: Georeferenced data
- data input and output
- data quality and management
- GIS analysis function
- Implementation of GIS, ArcGIS
- online data sources for data downloading
- introduction to BHUVAN portal
- USGS Earth Explorer
- HydroSHEDS. 10 24 Program Name: Master of Engineering Level: PG Branch: Civil (Water Resource Engineering) Course / Subject Code: ME01033031 Course / Subject Name: Remote Sensing And Spatial Data Analysis
Unit 4 Geospatial analysis
- DEM, TIN, slope map, aspect map, stream order
- Watershed delineation
- Monitoring and mapping of surface water bodies
- land use/land cover changes
- Change detection and time-series analysis
- morphometric analysis
- flood mapping and monitoring
Unit 5 Different geospatial technology software
- Salient features
- capabilities and limitations
- application of RS, GIS, GPS, Drone in water resources engineering
- case studies
- Introduction to India Water Resources Information System
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