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Courses » Remote Sensing and Digital Image Processing of Satellite Data

Remote Sensing and Digital Image Processing of Satellite Data

ABOUT THE COURSE

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.

Important For Certification/Credit Transfer:

Weekly Assignments and Discussion Forum can be accessed ONLY by enrolling here

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Note: Content is Free!

All content including discussion forum and assignments, is free

Final Exam (in-person, invigilated, currently conducted in India) is mandatory for Certification and has INR Rs. 1100 as exam fee


INTENDED AUDIENCE

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

PRE-REQUISITES

Current students of engineering students and current post graduate science students

INDUSTRIES THAT WILL RECOGNIZE THIS COURSE

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

3479 students has enrolled already!!

COURSE INSTRUCTOR



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 PLAN:
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

SUGGESTED READING

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.
CERTIFiCATION EXAM :
  • The exam is optional for a fee.
  • Date and Time of Exam: October 7, 2018 (Sunday)
  • Time of Exams: Morning session 9am to 12 noon; Afternoon session: 2pm to 5pm.
  • Exam for this Course will be available in both morning & afternoon sessions.
  • 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.
CERTIFICATION:

  • Final score will be calculated as : 25% assignment score + 75% final exam score
  • 25% assignment score is calculated as 25% of average of  Best 6 out of 8 assignments
  • E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. 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.