80 credits M.Sc. Geoinformatics (MSCGI) has been developed by the School of Sciences with the help of several eminent experts across India drawn from ISRO, DRDO, IIT, C-DAC, DST and many government and private institutes/organizations incorporating of NEP 2020 considering recent developments in the field and the need for skilled workforce. The MSCGI programme aims to provide the learners with advance theoretical knowledge and practical skills so that the learners can leverage potential of geoinformatics towards understanding natural processes, and management of natural resources, disasters, ecology and environment. It provides opportunity to learners interested in developing skills and willing to apply in their application domain. It has been designed to expose learners to fundamental and advanced theoretical principles, methods, techniques and practical applications involving advances in Remote Sensing and GIS, emerging applications in various fields, research methodology and professional skills in Geoinformatics and also computer programming for digital image processing and GIS.
Geoinformatics technologies deal with acquisition, storage, processing and dissemination of geospatial information. Geoinformatics is an emerging field and demand for geoinformatics professionals is increasing by the day due to its application potential in several fields such as environmental monitoring and management, terrain mapping and analysis, natural resources management, natural hazards and disaster management, urban and rural planning, traffic and transport, solid waste management, site selection, business applications, geospatial education, etc. Availability of geospatial information is a must for planning of infrastructure development, social development, natural calamities, agriculture, power, water, transportation, communication, insurance, and health. Further, recent developments such as inclusion of the subject in NET and GATE; Govt. initiatives e.g. Smart cities, SWAMITVA, AMRUT, etc. and in sectors particularly transport, logistics, supply chain management; policy changes like de-regulating geospatial data, opening of the space sector, and liberalised drone policy have tremendously increased its adoption and scope.
This is a continuing education programme offered in distance learning mode.
Programme Highlights
Designed to expose students to fundamental theoretical principles and practical applications involving:
Basics and advances in Remote Sensing & GIS
Techniques in Digital Image Processing
Spatial Analysis and Modelling
Emerging Applications in various fields
Research Methodology and Professional Skills in Geoinformatics
Computer programming (R, Python, Google Earth Engine, etc.) for DIP & GIS
Laboratory exercises built upon freely available data and s/w
Project work
Choice of Electives
Objective
Objectives of the programme are to:
acquaint the learners with basic and advance understanding of the underlying principles, concepts and techniques of geoinformation science,
provide skills in geospatial data handling, processing and analysis,
impart critical spatial thinking in the learners to analyse problems from a spatial perspective systematically,
prepare the learners to apply the principles and techniques towards finding scientific solution to problems in their application domain and communicate the findings; and
widen opportunities for learners for higher studies and developing career in different sectors of employment involving geoinformatics.
Learner Target Group
School and college/university teachers either teaching or interested in teaching geoinformation science related courses.
Working professionals possessing little or no exposure to geoinformatics but are interested to initiate and develop skills in this field, and
Graduates from various academic backgrounds interested in acquiring basic theoretical understanding and develop practical skills on the aspects of data handling and processing to use the data in application areas of their interests.
Eligibility & Medium
Eligibility for admission:
Graduate in Science/Engineering/Technology/Architechture/Planning/Computer Application/Information Technology/Medical & Allied fields/Geography/Mathematics/Statistics/Economics/Commerce/ Anthrophology/ Archaeology/ Business Administration/ Management from a recognised University.
Medium of Instruction:English
Duration & Fee Structure
Programme Duration:Minimum Duration: 24 Months and Maximum Duration48 Months
This Programme not offered for International Students.
Note: Exam Fees is not included in Fee Structure it will be as decided by the University
Job/Future Prospects
Geoinformatics is an emerging field and demand for geoinformatics professionals is increasing by the day due to its application potential in several fields such as rural and urban planning, environmental monitoring, natural resources management, management of natural hazards and disasters, etc.
Programme Coordinator
Prof. Benidhar Deshmukh Professor School of Sciences (SOS) bdeshmukh@ignou.ac.in 011 29571677
Prof. Meenal Mishra Director School of Sciences (SOS) meenalmishra@ignou.ac.in 011 29571676
This is the first course of the certificate programme which would introduce you to the basic concepts, components and applications of geoinformatics. The course comprises of four blocks each touching upon an aspect of the Geoinformatics technologies.
The first Block deals with overview of geoinformatics through which you would acquire understanding on the basic concepts and fundamentals of the geoinformatics and also recognise the national agencies and initiatives involved with geoinformatics related work.
After discussing the basic terminologies and related concepts in the first block, Block-2 introduces the basic concepts of geospatial data and data processing tools. After studying this block you would attain understanding of basic concepts of geospatial data, sources of data, data products and formats and data analysis tools.
Block-3 deals with the basics of maps, mapping, interpretation of topographical maps and also with how to choose a suitable map projection. After studying the basic concepts of Geoinformatics in the first three blocks, the Block-4 provides you an overview of the scope and applications of geoinformatics in different fields such as natural resources studies and management, land use and urban planning, e-governance, climate, agriculture, health, archaeology, business, environment and disaster related studies.
Remote sensing, defined as a science and art of acquiring information about Earth materials without coming in direct contact with them is carried out with the help of cameras/sensors mounted in the aircrafts or satellites. Through remote sensing technique we can acquire data about characteristics of the Earth in an almost continuous and two-dimensional fashion. Remote sensors are designed in such a way that they record interaction between Earth materials and electromagnetic radiation (EMR). First block of this course deals with the principles which form basis of remote sensing. It begins with the concept and historical development of remote sensing and describes electromagnetic spectrum, properties of EMR and radiation laws. It also provides basic understanding of interaction of EMR with common Earth materials and spectral signature.
Block-2 discusses remote sensing platforms and sensor systems, image resolution and major space programmes in separate units. The block provides information on the commonly used platforms and majority of the important sensors. It also discusses about image resolution. Further, it provides an overview of major space programmes of the world.
Remote sensing data are analysed either in visual mode or in digital mode. Both these methods have been dealt with in the third and fourth blocks, respectively. Information derived from image interpretation is useful to explore and manage natural resources of the planet Earth. Block-3 describes elements and keys of visual image interpretation alongwith the necessity of ground truth data collection.
Block-4 deals with the concepts of digital images, their processing and interpretation. It first explains the errors that occur during the imaging and with the techniques used for their rectification. Further, it discusses image enhancement and transformation techniques, image classifications and accuracy assessment each in separate units.
MGY-103: Global Navigation Satellite System and Geographic Information System
MGY-103: Global Navigation Satellite System and Geographic Information System
Course Title:
Global Navigation Satellite System and Geographic Information System
Course Code:
MGY-103
Coordinator:
Course Type (Credit):
Theory (4 Credits)
Course Introduction:
This course introduces two important components of geoinformatics i.e. Global Satellite Navigation Systems (GNSS) and the Geographic Information System (GIS). GNSS have become essential part of all applications where mobility plays an important role such as in transportation systems i.e., navigation and aviation, weather forecasting, environment management, etc. The GNSS Technology has not only enhanced the ease and flexibility of spatial data acquisition but has also diversified the approaches by which it is integrated with GIS and remote sensing. GIS allows us to view, understand, question, interpret and visualise data in many ways that reveal relationships, patterns and trends in the form of maps, reports, and charts. A GIS helps you answer questions and solve problems by looking at your data in a way that is quickly understood and easily shared.
This course comprises 4 blocks. First block introduces the Global Navigation Satellite System (GNSS) technology and the remaining three blocks deal with the fundamental concepts of GIS. Block 1 discusses the concepts and components of GNSS, principles of their operation and sources of errors in the derived data along with an overview of its applications in various fields.
Block- 2 introduces GIS and its components along with its historical developments, basics of data models, along with concept of topology and status of database management system in GIS.
Block-3 deals with the methods of data input and database creation giving an account of digitisation process, data standards, methods of linking non-spatial data with spatial data and also about data conversion.
The heart of the GIS i.e. spatial analysis is discussed in the Block-4 which gives an account of different types of analysis and GIS outputs.
This course is designed with the practical components which are related to the theory courses of the programme. Therefore, this course is designed to cover aspects related to data creation, remote sensing data handling and spatial analysis and mapping.
MGY-005: Techniques in Remote Sensing and Digital Image Processing
MGY-005: Techniques in Remote Sensing and Digital Image Processing
Course Title:
Techniques in Remote Sensing and Digital Image Processing
Course Code:
MGY-005
Coordinator:
Course Type (Credit):
Theory (6 Credits)
Course Introduction:
This course covers various techniquies in remote sensing and digial image processing. It is built on the first semester course and takes learners further in the field.
This course covers various spatial analysis and modelling techniques used in GIS. It is built on the first semester course on GIS and takes learners further in the field.
There are varoius applications of geoinformatics briefly covered in the first semester course. This course covers detailed applications in various fields giving the learners an idea on the data and techniques employed for the applications discussed.
MGYl-008: Digital Image Processing and Spatial Analysis Laboratory
MGYl-008: Digital Image Processing and Spatial Analysis Laboratory
Course Title:
Digital Image Processing and Spatial Analysis Laboratory
Course Code:
MGYl-008
Coordinator:
Course Type (Credit):
Lab (6 Credits)
Course Introduction:
This course is designed with the practical components which are related to the theory courses of the second semester courses of the programme. Therefore, this course is designed to cover aspects related to data creation, digital image processing and analysis, spatial analysis including LiDAR data processing.
This course covers various advances in remote sensing data analysis and GIS and spatial analysis with focus on techniquies. It also covers the aspects related to geospatial policy and standards. It is built on the first and second semester course and takes learners further in the field.
MGY-010: Computer Programming for Digital Image Processing and GIS
MGY-010: Computer Programming for Digital Image Processing and GIS
Course Title:
Computer Programming for Digital Image Processing and GIS
Course Code:
MGY-010
Coordinator:
Course Type (Credit):
Theory (6 Credits)
Course Introduction:
This course is designed with the practical components which are related to the theory courses of the third semester courses of the programme. Therefore, this course is designed to cover aspects related to computer programming covering Google Earth Engine, R, Python, and also the use of GeoServer, OpenLayers, PostGreS, etc.
MGY-011: Geo-environmental Application of Geoinformatics
MGY-011: Geo-environmental Application of Geoinformatics
Course Title:
Geo-environmental Application of Geoinformatics
Course Code:
MGY-011
Coordinator:
Course Type (Credit):
Theory (4 Credits)
Course Introduction:
There are varoius applications of geoinformatics briefly covered in the first semester course and in some detail for select spplication areas in the second semester. This course covers detailed applications in the field of geoinforment covering geosciences, inland water, soil, coastal, marine, environment and ecological applications with focus on the data and techniques employed for the applications discussed and recent developments.
This course is designed with the practical components which are related to the theory courses of the third semester courses of the programme. Therefore, this course is designed to cover aspects related to computer programming covering Google Earth Engine, R, Python, and also the use of GeoServer, OpenLayers, PostGreS, etc.