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