Remote Sensing
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Follow on Instagram for UpdatesRemote Sensing Syllabus — Unit-wise Content
The official GTU curriculum for Remote Sensing (subject code ME02000071) as prescribed for EAC( · Semester 2 divides the course into 6 units, covering 22 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 (ME02000071)Unit 1 Physics Of Remote Sensing
- Electro Magnetic Spectrum
- Physics of Remote SensingEffects of Atmosphere-Scattering–Different types– Absorption-Atmospheric windowEnergy interaction with surface features –Spectral reflectance of vegetation
- soil and water atmospheric influence on spectral response patterns-multi concept in Remote sensing
Unit 2 Data Acquisition
- Types of Platforms–different types of aircrafts- Manned and Unmanned spacecrafts–sun synchronous and geo synchronous satellites –Types and characteristics of different platforms –LANDSAT
- SPOT, IRS, INSAT
- QUICKBIRD etc
Unit 3 Photographic products, B/W,color, color IR film and their
- characteristics –resolving power of lens and film - Optomechanical electro optical sensors –across track and along track scanners- multispectral scanners and thermal scanners–geometric characteristics of scanner imagery - calibration of thermal scanners
Unit 4 Scattering System
- Microwave scatterometry
- types of RADAR – SLAR –resolution –range and azimuth –real aperture and synthetic aperture RADAR
- Characteristics of Microwave images topographic effect-different types of Remote Sensing platforms –airborne and space borne sensors -ERS
- RISAT - Scatterometer
- Altimeter-LiDAR remote sensing
Unit 5 Thermal And Hyper Spectral Remote Sensing
- Sensors characteristics- principle of spectroscopy-imaging spectroscopy–field conditions
- compound spectral curve
- Spectral library
- radiative models
- processing procedures
- derivative spectrometry
- thermal remote sensing –thermal sensors
- thermal data processing
Unit 6 Data Analysis
- Radiometric and temporal resolution signal to noise ratio-data products and their characteristics-visual and digital interpretation–Basic principles of data processing –Radiometric correction–Image enhancement–Image classification–Principles of LiDAR
- Aerial Laser Terrain Mapping
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