GI3303 Remote Sensing Syllabus:
GI3303 Remote Sensing Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
To introduce the concepts of remote sensing processes and its components.
To expose the various remote sensing platforms and sensors and to introduce the elements of data interpretation
UNIT I REMOTE SENSING AND ELECTROMAGNETIC RADIATION
Definition – components of RS – History of Remote Sensing – Merits and demerits of Data Collation between conventional and remote sensing methods – Electromagnetic Spectrum – Radiation principles – Wave theory, Planck‘s law, Wien’s Displacement Law, Stefan’s Boltzmann law, Kirchhoff‘s law – Radiation sources: active & passive – Radiation Quantities.
UNIT II EMR INTERACTION WITH ATMOSPHERE AND EARTH MATERIAL
Standard atmospheric profile – main atmospheric regions and its characteristics – interaction of radiation with atmosphere – Scattering, absorption and refraction – Atmospheric windows – Energy balance equation – Specular and diffuse reflectors – Spectral reflectance&emittance– Spectroradiometer – Spectral Signature concepts – Typical spectral reflectance curves for vegetation, soil and water – solid surface scattering in microwave region.
UNIT III ORBITS AND PLATFORMS
Motions of planets and satellites – Newton‘s law of gravitation – Gravitational field and potential – Escape velocity – Kepler‘s law of planetary motion – Orbit elements and types – Orbital perturbations and maneuvers – Types of remote sensing platforms – Ground based, Air borne platforms and Space borne platforms – Classification of satellites – Sun synchronous and Geosynchronous satellites – Lagrange Orbit.
UNIT IV SENSING TECHNIQUES
Classification of Remote Sensors – Resolution concept: spatial, spectral, radiometric and temporal resolutions – Scanners – Along and across track scanners – Optical-infrared sensors – Thermal sensors – Microwave sensors – Calibration of sensors – High Resolution Sensors – LIDAR, UAV – Orbital and sensor characteristics of live Indian earth observation satellites.
UNIT V DATA PRODUCTS AND INTERPRETATION
Photographic and Digital products – Types, levels and open-source satellite data products – selection and procurement of data – Visual interpretation: basic elements and interpretation keys – Digital interpretation – Concepts of Image rectification, Image enhancement and Image classification.
TOTAL:45 PERIODS
COURSE OUTCOMES:
On completion of the course, the student is expected to
CO1 Understand the concepts and laws related to remote sensing
CO2 Understand the interaction of electromagnetic radiation with atmosphere and Earth material
CO3 Acquire knowledge about satellite orbits and different types of satellites.
CO4 Understand the different types of remote sensors.
CO5 Gain knowledge about the concepts of interpretation of satellite imagery.
TEXTBOOKS:
1. Thomas M. Lillesand, Ralph W. Kieferand Jonathan W. Chipman, Remote Sensing and Image interpretation, John Wiley and Sons, Inc., New York, 2015.
2. George Joseph and C Jeganathan, Fundamentals of Remote Sensing, Third Edition Universities Press (India) Private limited, Hyderabad, 2018.
REFERENCES:
1. Stanley A Morain; Amelia M Budge; Michael S Renslow. Manual of Remote Sensing. Vol. I, American Society for Photogrammetry and Remote Sensing, Virginia, USA,2019, 4th edition
2. Verbyla, David, Satellite Remote Sensing of Natural Resources. CRC Press,2022 first edition.
3. Paul Curran P. J. Principles of Remote Sensing Longman, RLBS, 1996.
4. Introduction to Physics and Techniques of Remote Sensing, Charles Elachi and Jacob Van Zyl, 2021 Edition3, Wiley Publication.
5. Basudeb Bhatta, Remote Sensing and GIS, Oxford University Press, 2020 third edition.
