Syllabus
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Course Code: EI-PE-404 Course Name: Program Elective- V - (v) Remote Sensing |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Concepts and Foundations of Remote sensing - Introduction: Energy sources and radiation principles; radiation laws; energy interactions in the atmosphere; energy interactions with earth surface features; data acquisition and interpretation; global positioning system; ideal remote sensing system; characteristics of real remote sensing system; successful applications of remote sensing systems; geographic information systems - introduction. | |
| 2 | Sensors and Instruments: Introduction, Photographic sensors, active and passive sensors, Visible and near infrared sensors; thermal infrared sensors; microwave sensors; sonic sensors; IR spectrometer Radiometers, Scanners, Sensors and Platforms, Resolution : spatial and temporal, geometric, angular. Satellite systems: Introduction, Land observation satellites, satellite remote sensing, satellite orbits, Landsat systems, land observation satellites, current satellite systems (Landsat class, spot, IRS, broad scale coverage, AVHRR, SeaWiFS, IKONOS, Cartosatetc) | |
| 3 | Multispectral thermal and hyper spectral sensing: Introduction, along track, across track scanning; operating principles, examples of Multispectral scanners and data, thermal scanners, along + across track thermal scanning, radiometric calibration of thermal scanners, FLIR systems, hyperspectral sensing, Microwave and lidar sensing : radar development, SAR, geometric characteristics of side looking radar, transmission of radar signals, radar image interpretation, radar remote sensing from space, Seasat, radarsat, ERS, JERS, ALOS, etc. shuttle radar topography mission, Lidar – introduction, sensors, resolution, sensors, development and applications. | |
| 4 | Digital image processing fundamentals: Image rectification, enhancement, contrast manipulation, spatial and multi-image manipulation, image interpolation, edge detection, image restoration, image classification, , color imaging, data merging and GIS integration Applications of Remote sensing data: Applications to atmosphere, geosphere, hydrosphere, cryosphere, environmental applications, applications of data collection systems. | |
