Course Name: Introduction to Remote Sensing

Course abstract

To introduce basic concept of satellite based Remote Sensing (RS) technique, how it works, its key components, different types of satellites and sensors, what is remote sensing image, digital image processing and how satellite based remote sensing can be applied in different subjects of engineering, sciences and natural disasters


Course Instructor

Media Object

Prof. Arun K. Saraf

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 Geographic Information Systems (GIS), Remote Sensing, Geomorphology 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 90 research papers in journals of repute (ISI) and supervised 10 Ph.Ds. Presently, he is also Associate Editor of International Journal of Remote Sensing. 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.
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Teaching Assistant(s)

GAURAV SINGH

Doctor of Philosophy
DEPARTMENT OF EARTH SCIENCES
IIT Roorkee

SUSANTA BORGOHAIN

Doctor of Philosophy
DEPARTMENT OF EARTH SCIENCES
IIT Roorkee

 Course Duration : Feb-Mar 2017

  View Course

 Enrollment : 01-Jan-2017 to 20-Feb-2017

 Exam registration : 30-Jan-2017 to 27-Feb-2017

 Exam Date : 23-Apr-2017

Enrolled

5156

Registered

425

Certificate Eligible

322

Certified Category Count

Gold

5

Silver

0

Elite

161

Successfully completed

156

Participation

47

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 3 out of 4 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Introduction to Remote Sensing - Toppers list
Top 1 % of Certified Candidates

ABHISHEK KUMAR AGRAWAL 94%

ONGC LIMITED

SIVASANKARI R 92%

MEPCO SCHLENK ENGINEERING COLLEGE

SAIF AHMAD KHAN 91%

KIET GROUP OF INSTITUTIONS


Top 2 % of Certified Candidates

ISHWARYA SRIKANTH 90%

NATIONAL INSTITUTE OF OCEAN TECHNOLOGY

DR NITIN NATHURAM MUNDHE 90%

SIR PARASHURAMBHAU COLLEGE

ROHIT KUMAR 89%

CENTRAL UNIVERSITY OF JHARKHAND


Top 5 % of Certified Candidates

DINESH JAIN 88%

NSIT

DR SUREKHA BORRA 86%

K S INSTITUTE OF TECHNOLOGY

AKSHITHA 85%

SHRI MADHWA VADIRAJA INSTITUTE OF TECHNOLOGY AND MANAGEMENT

DEVI POONGUZHALI S 85%

K RAMAKRISHNAN COLLEGE OF TECHNOLOGY

SAMEER SHREESH TUPKAR 85%

WALCHAND INSTITUTE OF TECHNOLOGY

SANTOSH KUMAR PATRO 84%

JRHMS JHARKHAND

SOURAV MAZUMDAR 84%

INSTITUTE OF ENGINEERING & MANAGEMENT

SHIR JAYESH DEVSHIBHAI 84%

DEPARTMENT OF PHYSICS GUJARAT UNIVERSITY

MAHARAJAN N 83%

B.S.ABDUR RAHMAN UNIVERSITY

THOMAS ANISH JOHNSON 83%

SOIL SURVEY AND SOIL CONSERVATION

SHYAM SUNDAR RAVICHANDRAN 83%

VALLIAMMAI ENGINEERING COLLEGE

Enrollment Statistics

Total Enrollment: -1

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Registration Statistics

Total Registration : 453

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Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.