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Swayam Central

Remote Sensing and Digital Image Processing of Satellite Data

By Prof. Arun K. Saraf   |   IIT Roorkee
The proposed course provides basic understanding about satellite based Remote Sensing and Digital Image Processing technologies. Presently, remote sensing datasets available from various earth orbiting satellites are being used extensively in various domains including in civil engineering, water resources, earth sciences, transportation engineering, navigation etc. Google Earth has further made access to high spatial resolution remote sensing data available to non-experts with great ease. Knowledge of Digital Image Processing of satellite data allows to process raw satellite images for various applications.

INTENDED AUDIENCE Under- / Post-graduate engineering and post graduate science students

PRE-REQUISITES Current students of engineering students and current post graduate science students

INDUSTRY SUPPORT Remote Sensing / Geoinformatics companies, e.g NIIT, ESRI India, Leica Geoinformatics, MapmyIndia etc.

Learners enrolled: 3083

SUMMARY

Course Status : Ongoing
Course Type : Elective
Duration : 8 weeks
Start Date : 26 Aug 2019
End Date : 18 Oct 2019
Exam Date : 16 Nov 2019
Category :
  • Civil Engineering
  • Level : Undergraduate
    This is an AICTE approved FDP course

    COURSE LAYOUT

    Week-1:
    What is satellite based remote sensing?
    Development of remote sensing technology and advantages 
    Different platforms of remote sensing
    EM spectrum, solar reflection and thermal emission remote sensing
    Interaction of EM radiation with atmosphere including atmospheric scattering, absorption and emission

    Week-2:
    Interaction mechanisms of EM radiation with ground, spectral response curves
    Principles of image interpretation
    Multi-spectral scanners and imaging devices
    Salient characteristics of LANDSAT, IRS, Cartosat, ResourceSat etc. sensors 
    Image characteristics and different resolutions in Remote Sensing

    Week-3:
    Image interpretation of different geological landforms, rock types and structures 
    Remote Sensing integration with GIS and GPS 
    Georeferencing Technique
    Basic image enhancement techniques
    Spatial filtering techniques

    Week-4:
    Image classification techniques
    InSAR Technique and its applications
    Hyperspectral Remote Sensing
    Integrated applications of RS and GIS in groundwater studies
    Limitations of Remote Sensing Technique

    Week-5:
    What is a remote sensing image and how it is represented?
    Different techniques of Image acquisition
    Why is digital image processing important?
    Image characteristics and different resolutions in Remote Sensing
    EM spectrum, solar reflection and thermal emission remote sensing

    Week-6:
    Colour representations and transforms
    Image Histograms and statistics
    Geometric transformations /Georeferencing Technique
    Image enhancement techniques –I
    Image enhancement techniques -II

    Week-7:
    Multispectral transforms: scatter plot, principal component analysis and decorrelation stretch
    Spatial filtering techniques
    Frequency domain - Fourier transformation
    Basic Image Compression techniques and different image file formats
    Image classification techniques

    Week-8:
    Principles of image interpretation
    SAR Interferometry (InSAR) Technique
    Image merging and mosaicking techniques
    Applications of Image Analysis
    Limitations and future of Digital Image Processing Technique

    BOOKS AND REFERENCES

    1. James B. Campbell and Randolph H. Wynne,  “Introduction to Remote Sensing”, (5th Ed.), The Guildford Press, New York, 2012.
    2. Lillesand, T.M., Kiefer, R.W. and Chapman, J.W., “Remote Sensing and Image Interpretation”, (5th Ed.), John Wiley & Sons, 2007.
    3. Gupta, R. P., “Remote Sensing Geology”, 2nd Ed., Springer, 2003.
    4. Drury, S. A., “Image Interpretation in Geology”, 2nd Ed, Allen & Unwin, 1993.
    5. Cracknell, A.P., “Introduction to Remote Sensing”, (2nd Ed.), Tylor & Francis, London, 1991.
    6. Gonzalez,  Rafael C. and   Richard E. Woods “Digital Image Processing”, (3rd Edition)  Pearson Education, London.

    INSTRUCTOR BIO




    Dr. Arun K. Saraf is Ph. D. (Remote Sensing) from University of Dundee, United Kingdom. Presently he is working as Professor in the Department of Earth Sciences, Indian Institute of Technology, Roorkee, and teaches courses on Remote Sensing, Digital Image Processing, Geographic Information Systems (GIS), Advanced GIS, Geomorphology, Geohydrology etc. to under- and post-graduate students of Geological Technology and Applied Geology. He was also Head of Department of Earth Sciences between Jan. 2012 – Feb. 2015. He was first in the country to introduce GIS course to post-graduate students in the year 1990. In 1986, he was awarded “National Fellowship to Study Abroad” by Govt. of India for his doctoral degree. Further, in 1993 he was awarded “Indo-US S&T Fellowship” and worked in Goddard Space Flight Centre, NASA, USA for Post Doctoral Research. He has been also awarded “National Remote Sensing Award-2001” by Indian Society of Remote Sensing and “GIS Professional of the Year Award-2001” by Map India 2002 for his outstanding research contributions in the fields of Remote Sensing and GIS. Earlier, he has also been given several Khosla Research Awards and Prizes by then University of Roorkee. So far Prof. Saraf has published more than 100 research papers in journals of repute (ISI) and supervised 11 Ph.Ds. He was also Associate Editor of International Journal of Remote Sensing during 2003-2015. Through funding from DST, Min. of Earth Sciences, CSIR, Prof. Saraf has been able to establish and operating NOAA-HRPT Satellite Earth Station at IITR since Oct. 2002, first in any educational institute in the country. This Earth Station is still operational and acquiring data from NOAA-18 & 19 day-and-night. In recent past, Prof. Saraf has also recorded four courses viz. Introduction to Geographic Information Systems, Introduction to Remote Sensing, Digital Image Processing of Satellite Data and Digital Elevation Models and Applications under the NPTEL scheme.

    COURSE CERTIFICATE

    • The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
    • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
    • Date and Time of Exams: 16 November 2019, Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
    • Registration url: Announcements will be made when the registration form is open for registrations.
    • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
    • Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

    CRITERIA TO GET A CERTIFICATE
    • Average assignment score = 25% of average of best 6 assignments out of the total 8 assignments given in the course. 
    • Exam score = 75% of the proctored certification exam score out of 100
    • Final score = Average assignment score + Exam score

    YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75
    • If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
    • Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Roorkee. It will be e-verifiable at nptel.ac.in/noc.
    • Only the e-certificate will be made available. Hard copies are being discontinued from July 2019 semester and will not be dispatched

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