The proposed course provides detailed understanding about Geographic Information Systems and their applications in Civil Engineering and Earth Sciences. All aspects starting from data input to modelling would be discussed in this course. Further, in the proposed course various datasets including DEMs, their source, generation techniques, derivatives, errors and limitations would be discussed extensively. Surface Hydrologic Modelling using DEMs, modelling derivatives and their applications would also be discussed.
INTENDED AUDIENCE
Under and post-graduate engineering, post graduate and doctoral students
PREREQUISITES
Current students of engineering, post graduate science students and PhD students should have basic knowledge of computers
INDUSTRIES SUPPORT
Geoinformatics companies, e.g NIIT, ESRI India, Leica Geoinformatics, MapmyIndia, ISRO, etc.
ABOUT THE 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, Digital Elevation Models and Applications and Global Navigation Satellite Systems under the NPTEL scheme.
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: What is Geographic Information Systems?
Essential components of GIS
Different types of vector data
Concept of topology
Demonstration through GIS software
Week 2: Raster data model and comparisons with vector
TIN data model and comparisons with raster
Non-spatial data (attributes) and their types
Vector Data Compression Techniques
Demonstration through GIS software
Week 3: Raster Data Compression Techniques-01
Raster Data Compression Techniques-02
Georeferencing
Pre- processing of spatial datasets-01
Demonstration through GIS software
Week 4: Pre-processing of spatial datasets-02
Pre-processing of spatial datasets-03
Spatial Interpolation Techniques-01
Spatial Interpolation Techniques-02
GIS Analysis- 01
Week 6: GIS Analysis-06
GIS Analysis-07
Attributes Classification Methods
Spatial Database systems and their types-01
Demonstration through GIS software
Week 7: Spatial Database systems and their types-02
Concept of NoData in Raster
Different map projections
Concept of digital elevation model (DEM) and how it is represented
Demonstration through GIS software
Week 8: Various techniques to generate digital elevation models-1
Various techniques to generate digital elevation models-2
Various techniques to generate digital elevation models-3
Digital Elevation Models and different types of resolutions
Demonstration through GIS software
Week 9: How to assess quality of a DEM
Integration of DEMs with satellite data
Common derivatives of DEMs – Slope and aspect-01
Common derivatives of DEMs – Slope and aspect-02
Demonstration through GIS software
Week 10: Common derivatives of DEMs – Slope and aspect-03
DEMs derivatives-1
DEMs derivatives-2
DEMs derivatives-3
DEMs derivatives-4
Week 11: Triangulated Irregular Network (TIN) and its derivatives
Shaded relief models and their applications
DEM based Surface Hydrologic Modelling-1
DEM based Surface Hydrologic Modelling-2
DEMs and Dam Simulation and its application in groundwater hydrology
Week 12:DEMs Sources,limitations and future of Digital Elevation Models
Applications of DEMs in Viewshed and Flood Hazard Mapping
Applications of DEMs in solar and wind energy potential estimations
Errors in GIS and key elements of maps
Limitations and Rules of GIS
Books and References
1. For latest development in GIS – the best resource is Internet. There are many authentic sites e.g. various Universities / institutes, NASA, ESA, ISRO etc.
2. Learning Geospatial Analysis with Python: Understand GIS Fundamentals and Perform Remote Sensing Data Analysis Using Python 3.7, by Joel Lawhead 3rd Edition, 2019.
3. Introduction to Geographic Information Systems by Chang Kang-tsung (Karl), 2016.
4. An Introduction to Geographical Information Systems (4th Edition) by Ian Heywood, Sarah Cornelius and Steve Carver, 2012.
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