DS4011 Remote Sensing Syllabus:
DS4011 Remote Sensing Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVES
To introduce the concepts of remote sensing processes and its components.
To Enhance knowledge about optical, thermal and microwaves based Remote Sensing and Applications.
To expose the various remote sensing platform and sensors and to introduce the elements of data interpretation
UNIT I BASIC CONCEPTS OF REMOTE SENSING
History, Development, Definition, Concept & Principles, Electromagnetic Radiation (EMR) and Its Characteristics, Wavelength Regions and their Significance, Interaction of EMR with Atmosphere and Earth‟s Surface: Absorption, Reflectance and Scattering, Atmospheric Windows, Energy Balance Equation, Spectral Response and Spectral Signature, Spectral, Spatial, Temporal and Radiometric resolutions.
UNIT II DATA ACQUISITION
Platform: Balloon, Rocket, Helicopter, Aircraft and Spacecraft, Aerial vs. Satellite Remote Sensing, Satellites and their Specifications: LANDSAT, SPOT, ENVISAT, RADARSAT, IRS, IKONOS, Sensors and their Specifications: MSS, TM, LISS(I,II,III,IV), PAN, WiFS, AWiFS, MODIS, Weather& Communication Satellites.
UNIT III OPTICAL, THERMAL AND MICROWAVE REMOTE SENSING
Imaging and Non-Imaging, Active and Passive, Multispectral, Super Spectral and Hyperspectral Sensors, Electro-Optical Systems, Opto-Mechanical Scanners, Infrared Scanners, Scatterometer, Thermal Properties of Terrain, Thermal IR Environmental Considerations, Thermal Infrared and Thermal Scanners, Microwave Remote sensing concepts:, Backscattering, Range Direction, Azimuth Direction, Incident Angle, Depression Angle, Polarization, Dielectric Properties, Surface Roughness and Interpretation, Speckle and Its Reduction, Applications of optical, thermal and microwave remote sensing.
UNIT IV HYPERSPECTRAL REMOTE SENSING AND IMAGE ANALYSIS
Diffraction principles – field spectrum – BDRF and spectral reflectance & imaging spectrometry sensors – virtual dimensionality – Hughe‘s phenomenon – Data reduction, Calibration and normalization – library matching. Spectral library – response functions – MNF transformation – library matching, spectral angle mapper, BBMLC-spectral mixture analysis – end member extraction – spectral unmixing- MIA analysis concepts – PCF, PCA, WPCA spectral transformation – band detection, reduction and selection principles – Applications.
UNIT V LIDAR
Principles and Properties- different LiDAR System- Space Borne and airborne LiDAR missions – Typical parameters of LiDAR system. Data Processing – geometric correction-data quality enhancement – filtering LiDAR mapping applications – hydrology, Disaster mitigation and management.
OUTCOMES:
CO1: To understand the physical principles in remote sensing.
CO2:To understand the sensing process in remote sensing
CO3:To understand the different type of sensors (optical, microwave, thermal and LIDAR) and their characteristics.
CO4:To understand the types and configuration of various satellites and sensors
CO5:To understand the concepts of hyperspectral remote sensing and their applications
TOTAL:45 PERIODS
REFERENCES:
1. Richards, Remote sensing digital Image Analysis-An Introduction Springer – Verlag, 5th edition 2012.
2. Lillesand, T.M. and Kiefer R.W. Remote Sensing and Image interpretation, John Wiley and Sons, Inc, New York, Sixth edition 2011.
3. Ulaby, F.T., Moore, R.K, Fung, A.K, Microwave Remote Sensing; active and passive, Vol.1,2 and 3, Addison – Wesley publication company 2001
4. Janza, F.Z., Blue H.M. and Johnson,J.E. Manual of Remote Sensing. Vol.I, American Society of Photogrammetry, Virginia, USA, 2002.
5. Verbyla, David, Satellite Remote Sensing of Natural Resources. CRC Press, 2022.
6. Paul Curran P.J. Principles of Remote Sensing. Longman, RLBS, 2003.
7. Woodhouse lain.H, Introduction to Microwave Remote Sensing Taylor & Francis 2006.
8. Joseph,George and Jeganathan, C. “Fundamentals of Remote Sensing”, 3rd Edition, Universities press (India) Pvt. Ltd., Hyderabad.2017.