RS4005 Thermal and Hyperspectral Remote Sensing Syllabus:
RS4005 Thermal and Hyperspectral Remote Sensing Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVE:
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
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
Extraction of environmental variables – LST retrieval methods – mapping of surface energy balance components – surface flux studies – data products – thermal and optical RS for plant biophysics – hydrology, Forestry and Agriculture applications – case studies: UHI, forest fire, coal fires, mine fires and climate studies inputs.
UNIT III FIELD AND IMAGE SPECTROMETRY
Spectral radiometry – 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
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 optimization: reduction and selection principles -data compression
UNIT V HYPERSPECTRALIMAGEAPPLICATIONS
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 – moon and mars mission.
OUTCOMES:
On completion of this course, the student shall be able to
CO1 Understand the principles of thermal radiation and thermal image processing.
CO2 Understand the satellite thermal image for environmental parameter estimation.
CO3 Understand the spectrometry principles of satellite images.
CO4 Understanding the hyperspectral image analysis to derive various parameters of vegetation, soil and water.
CO5 Interpret the hyperspectral data to resource management in various fields.
REFERENCES:
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, 1st Edition,2008.
5. Claudia Kuenzer, Stefan Dech Editors, Thermal Infrared Remote Sensing Senors, Methods, Applications, Springer,2013.
6. Qihao Weng, Series Editor, Hyperspectral Remote Sensing Fundamentals & Practices, Taylor & Francis, CRC Press.