Course Name: Remote Sensing: Principles and Applications

Course abstract

Remote sensing (RS) is the technology that helps to gather information about objects and phenomena from a distance. There has been a radical transformation in the technology from the early application of ‘image interpretation’ to the paradigm of quantitative RS. The advancement in sensors and data processing algorithms have led to multiple applications of RS in various domains. To perform quantitative RS, one must understand the basic nature of RS sensors, the interaction between electromagnetic radiation and earth surface features and the assumptions and limitations of the algorithms applied. This course will enable the participants to learn about the necessary physical concepts involved in different phases of RS which will help in better appreciation of algorithms and existing datasets. The concepts will further be strengthened through explanation of selected applications.


Course Instructor

Media Object

Prof. Eswar Rajasekaran

Dr. Eswar is currently working as Assistant Professor in the Department of Civil Engineering, IIT Bombay. Previously he was working as Postdoctoral fellow in the NASA Jet Propulsion Laboratory, Pasadena, California from 2016-2018. Dr. Eswar completed his Bachelors in Geoinformatics from College of Engineering Guindy, Anna University, Chennai with University Gold Medal and Ph.D. from IISc, Bangalore.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Apr 2021

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 Syllabus

 Enrollment : 18-Nov-2020 to 25-Jan-2021

 Exam registration : 15-Jan-2021 to 12-Mar-2021

 Exam Date : 25-Apr-2021

Enrolled

2792

Registered

261

Certificate Eligible

162

Certified Category Count

Gold

1

Silver

19

Elite

48

Successfully completed

94

Participation

55

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Remote Sensing: Principles and Applications - Toppers list
Top 1 % of Certified Candidates

MANAV ARORA 91%

GOVERNMENT COLLEGE OF ENGINEERING AND TECHNOLOGY

MOHMMAD UMAYR ROMSHOO 89%

GOVERNMENT COLLEGE OF ENGINEERING AND TECHNOLOGY


Top 2 % of Certified Candidates

PARITOSH LANGEH 88%

GOVERNMENT COLLEGE OF ENGINEERING AND TECHNOLOGY

VAKUL KHAJURIA 88%

GOVERNMENT COLLEGE OF ENGINEERING AND TECHNOLOGY


Top 5 % of Certified Candidates

RITU RAJ JAITAWAT 85%

AYANSHU DEBABRATA 85%

INDIAN INSTITUTE OF TECHNOLOGY,KHARAGPUR

SANDEEP SHARMA 85%

GOVERNMENT COLLEGE OF ENGINEERING AND TECHNOLOGY

SHAURYA MANSOTRA 83%

GOVERNMENT COLLEGE OF ENGINEERING AND TECHNOLOGY

Enrollment Statistics

Total Enrollment: 2792

Registration Statistics

Total Registration : 261

Assignment Statistics




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.