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Monday, February 10, 2014

RS7203 THERMAL AND HYPERSPECTRAL REMOTE SENSING Syllabus | Anna University M.Tech Remote Sensing Second Semester Syllabus Regulation 2013

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Anna University Syllabus - Anna University M.Tech Syllabus

RS7203 THERMAL AND HYPERSPECTRAL REMOTE SENSING Syllabus | Anna University M.Tech Remote Sensing Second Semester Syllabus Regulation 2013. Below is the Anna University 2013 Regulation Syllabus for 2nd Semester for M.Tech Remotes Sensing, Textbooks, Reference books, Exam portions, Question Bank, Previous year question papers, Model question papers, Class notes, Important 2 marks, 8 marks, 16 marks topics.
It is applicable for all students admitted in the Academic year 2013-2014 onwards for all its Affiliated institutions in Tamil Nadu.

 To make the post graduate students understand principles, processes and applications of thermal and hyper spectral remote sensing for earth resources.
UNIT I FUNDAMENTALS OF THERMAL REMOTE SENSING 9 Radiation science basics - Thermal radiation principles, thermal interaction behavior of terrain elements, thermal sensors and specifications – MUST (Medium Scale Surface Temperature Missions) infrared sensors and radiometers - aerial thermal images - Image characters, spatial and radiometry- sources of image degradation –radiometric and geometric errors and correction – interpretation of thermal image UNIT II THERMAL IMAGE AND INTERPRETATION 9 Extraction of environmental variables – LST retrieval methods – mapping of surface energy balance components – surface flux studies – thermal and optical RS for plant biophysics – hydrology, Forestry and Agriculture applications - case studies. UNIT III FIELD AND IMAGE SPECTROMETRY 9 Spectral radiometry - Diffraction principles- imaging spectrometry : considerations - experimental design and instrumentation – factors affecting the field spectrum – hyperspectral sensor systems-imaging spectrometry – scattering principles - BDRF and hemispherical reflectance –models; MODTRAN - Sensors and platforms – data characteristics UNIT IV HYPERSPECTRAL IMAGE ANALYSIS 9
Virtual dimensionality – representation systems - hypercube – red edge – indices - Hughes phenomenon - multivariate analysis for data reduction - data calibration, normalization – spectral library – response functions – MNF transformation – Kalman filters- library matching, spectral angle mapper, BBMLC-spectral mixture analysis – endmember extraction – spectral unmixing-
MIA analysis concepts - PCF, PCA, WPCA spectral transformation – band detection, reduction and selection principles -data compression UNIT V HYPERSPECTRAL IMAGE APPLICATIONS 9 Application to lithology, mineral exploration – agricultural crop systems – stress detection, plant production, vegetal bio physics and bio chemistry, soil moisture , soil characteristics, degradation status - forestry canopy characters, ecosystem, forest health, biodiversity, Gap dynamics, environmental and resource management. TOTAL 45 PERIODS OUTCOMES: On completion of this course, the student shall be able to
 Understand the principles and properties of Hyperspectral and Thermal Remote Sensing.
 Acquire skills in analysing Thermal and Hyperspectral Remote Sensing data for various thematic mapping and its applications.
1. Dale A Quattarochi and Jeffrey C Luvall, “Thermal Remote Sensing in Land surface Processes” e-book, 2005 Taylor & Fancis, ISBN 0 203 50217 5
2. John A. Richards and Xiuping Jia, “Remote sensing digital Image Analysis – an introduction” fifth edition, Springer Verlag., 2012 ISBN 978 3 642 30061 5.
3. Chein I Chang, “Hyperspectral Imaging: Techniques for Spectral Detection and Classification”, Kluwer Academic/Plenum Publishers, New York, N.Y., 2003.(ISBN: 0-306-47483-2)
4. Marcus Borengasser and William C., Hungate and Russel Watkins Hyper spectral Remote sensing: principles and application” CRC, 2008, ISBN 13: 9781566706544
5. Chein I Chang, “Hyperspectral Data Exploitation: Theory and Applications, Wiley Inter Science, 2006 (ISBN: 9780470124628 )
6. Chein I chang, “Recent advances in hyper spectral signal and image processing“, Transworld network, 2006 (ISBN: 81-7895-218-1)
7. Lillesand, “Remote Sensing And Image Interpretation, 5Th Ed”, John Wiley & Sons, 2007, ISBN: 8126513357, 9788126513352

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