Remote Sensing: Principles and Applications

3,000.00

 

Prof. Eswar Rajasekaran

IIT Bombay

*Additional GST and optional Exam fee are applicable.

SKU: IIT Bombay Category:

Description

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.


INTENDED AUDIENCE

Civil Engineering, Earth Science, Agriculture, Geoinformatics

ABOUT THE INSTRUCTOR

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. His primary research interests are thermal infrared remote sensing (TIR RS), mapping evapotranspiration and flux partitioning from RS, drought monitoring from RS datasets, spatial disaggregation of TIR data, applications of TIR RS in areas such as agriculture, water and urban studies. He had published articles in leading journals and is also a peer reviewer for some of the top journals in the field such as Remote Sensing of Environment, Remote Sensing etc.

Additional information

Institute

IITB

Total hours

30

Certification Process

1. Join the course
Learners may pay the applicable fees and enrol to a course on offer in the portal and get access to all of its contents including assignments. Validity of enrolment, which includes access to the videos and other learning material and attempting the assignments, will be mentioned on the course. Learner has to complete the assignments and get the minimum required marks to be eligible for the certification exam within this period.

COURSE ENROLMENT FEE: The Fee for Enrolment is Rs. 3000 + GST

2. Watch Videos+Submit Assignments
After enrolling, learners can watch lectures and learn and follow it up with attempting/answering the assignments given.

3. Get qualified to register for exams
A learner can earn a certificate in the self paced course only by appearing for the online remote proctored exam and to register for this, the learner should get minimum required marks in the assignments as given below:

CRITERIA TO GET A CERTIFICATE
Assignment score = Score more than 50% in at least 9/12 assignments.
Exam score = 50% of the proctored certification exam score out of 100
Only the e-certificate will be made available. Hard copies will not be dispatched.”

4. Register for exams
The certification exam is conducted online with remote proctoring. Once a learner has become eligible to register for the certification exam, they can choose a slot convenient to them from what is available and pay the exam fee. Schedule of available slot dates/timings for these remote-proctored online examinations will be published and made available to the learners.

EXAM FEE: The remote proctoring exam is optional for a fee of Rs.1500 + GST. An additional fee of Rs.1500 will apply for a non-standard time slot.

5. Results and Certification
After the exam, based on the certification criteria of the course, results will be declared and learners will be notified of the same. A link to download the e-certificate will be shared with learners who pass the certification exam.

CERTIFICATE TEMPLATE

Course Details

Week 1:  Introduction, electromagnetic radiation, basic laws
Week 2:  Radiometry, Interaction of EMR with terrain features
Week 3:  RS in visible and IR domain: Radiance to reflectance, atmospheric and topographic correction
Week 4:  RS image acquisition, Different types of sensors, resolution concepts
Week 5:  Resolution concepts, Spectral reflectance curves
Week 6:  Spectral reflectance curves, Spectral indices
Week 7:  Thermal infrared remote sensing
Week 8:  Passive microwave radiometry
Week 9:  Active microwave remote sensing: Imaging radar
Week 10: Platforms used for RS data acquisition and characteristics
Week 11: LIDAR, Common remote sensing datasets and data portals
Week 12: Applications of RS for land use and land cover monitoring, water resources management

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