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Swayam Central
Courses > Remote Sensing Essentials

Remote Sensing Essentials

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 / PhD candidates
PREREQUISITES : Remote Sensing / Geoinformatics companies, e.g NIIT, ESRI India, Leica Geoinformatics, MapmyIndia etc
INDUSTRY SUPPORT : ONGC, OIL, GSI and others

Learners enrolled: 489

SUMMARY

Course Status : Upcoming
Course Type : Elective
Duration : 12 weeks
Start Date : 27 Jan 2020
End Date : 17 Apr 2020
Exam Date : 26 Apr 2020
Enrollment Ends : 03 Feb 2020
Category :
  • Civil Engineering
    		•
    Level : Undergraduate/Postgraduate
    This is an AICTE approved FDP course

    COURSE LAYOUT

    Week 1   : Rudiments of remote sensing and advantages Historical Perspective of development of remote sensing technology EM spectrum, solar reflection and thermal emission remote sensing Interaction of EM radiation with atmosphere including atmospheric scattering, absorption and emission Interaction mechanisms of EM radiation with ground, spectral response curves
    Week 2  : Laws of Radiation and their relevance in Remote Sensing Basis of remote sensing image representation Various Remote Sensing Platforms Multi-spectral scanners and imaging devices Significant characteristics of LANDSAT, SPOT, Sentinel etc.
    Week 3   : Prominent characteristics of IRS, Cartosat, ResourceSat etc. Unmanned Aerial Vehicle / Drone Passive Microwave Remote Sensing Image characteristics and different resolutions in Remote Sensing Different techniques of Image acquisition
    Week 4   : Importance of digital image processing Digital, Image Processing Software, Basic image enhancement techniques Colour representations and transforms, Image Histograms and statistics
    Week 5   : Atmospheric errors and corrections, Geometric transformations /Georeferencing Technique, Digital Image Processing Software – Demonstration Image enhancement techniques –I Image enhancement techniques –II
    Week 6   : Digital Image Processing Software – Demonstration, Spatial filtering techniques, Frequency based filtering techniques, Digital Image Processing Software – Demonstration, Unsupervised image classification and density slicing techniques
    Week 7   : Supervised image classification techniques and limitations, Digital Image Processing Software - Demonstration, LiDAR Technique and applications, False Topographic Phenomena and correction techniques, Mosaicking, subsets, sub-sampling techniques and applications
    Week 8   : High Spatial Resolution Satellite Images and limitations, Multispectral transforms: scatter plot, principal component analysis and decorrelation stretch, Basic Image Compression techniques and different image file formats, Hyperspectral Remote Sensing, Digital Image vs Digital Photograph
    Week 9   : NDVI and other indices, Image merging techniques, Radar Images interpretation and applications, SAR Interferometry (InSAR) Technique-01,SAR Interferometry (InSAR) Technique-02
    Week 10 : Remote Sensing integration with GIS and GPS,Principles of image interpretation Remote Sensing of Moon and Mars, image interpretation of different geological landforms, rock types and structures Application of Remote Sensing in Fog studies
    Week 11 : Integrated applications of RS and GIS in groundwater studies-01. Integrated applications of RS and GIS in groundwater studies-02, Applications of Remote Sensing in Earthquake Studies, Remote Sensing Applications in Urban Infrastructure, Digital photogrammetry for generation of Digital Elevation Models using Stereo Pairs
    Week 12 : Google Earth and its utilization, Integration of satellite images with Digital Elevation Models and generation of 3D perspective , Fire detection (straw / Parali burning/ Forest Fire), Different sources of free satellite images, Limitations and Future of Remote Sensing Techniques

    BOOKS AND REFERENCES

    1. 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

    Prof. Arun K. Saraf

    IIT Roorkee
    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, Digital Elevation Models and Applications and Global Navigation Satellite Systems 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: 26th April 2020, 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 8 assignments out of the total 12 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 will not be dispatched.

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