If you are an undergraduate student and you want to learn about Remote Sensing, Global Navigation Satellite Systems, Geographical Information Systems,s and Applications of Geospatial Technology, then this post is for you. This course is started by the Government of India itself. So let’s get started and see how you can apply for this course
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Fundamentals of Remote Sensing, Geographic Information Systems (GIS), and Global Navigation Satellite Systems (GNSS) is a 15-week course administered by IIRS, ISRO. This course consists of 75 teaching hours divided into four modules, namely Fundamentals of Remote Sensing, Global Navigation Satellite Systems, Geographic Information Systems, and Geospatial Technology Applications. The curriculum and course content are modified annually by the faculty based on feedback received and emerging technology trends.
During the course, participants will be introduced to the basic principles of remote sensing, Earth observation sensors and platforms, thermal remote sensing, spectral signatures of various land cover features and interpretation of visual images, and hyperspectral remote sensing technologies. This course also covers various digital image processing techniques, namely image correction and registration, image enhancement techniques, image classification techniques, and accuracy assessment. Theoretical concepts are followed by live demonstrations using free and open-source software.
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Participants will be assessed on the principles of GNSS technology with a focus on GNSS receivers, GNSS data processing methods, errors and accuracy, and satellite-based augmentation systems such as GPS Aided and GEO Augmented Navigation or GAGAN. Indian Regional Navigation Satellite System (IRNSS) or Indian Navigation Constellation (NaVic) is discussed in detail. GPS signal characteristics, data formats (broadcast, precision ephemeris), demonstration of DGPS, advanced GNSS processing, and cellular mapping will also be covered throughout the course.
This course covers the basics of GIS technology with an overview of GIS, geographic phenomena, GIS data entry and manipulation, GIS data models, GIS system architecture, standards and guidelines for geographic data, topology, and spatial relationships, analysis of spatial data, the spatial quality of data, errors in spatial data, map projection, and advanced geospatial modeling. Free open-source software is used as a platform for demonstration and development.
|Duration: 15 Weeks Enrollment Ends: 28 Feb 2023|
|Start Date: 11 Jan 2023 Category: Multidisciplinary|
|End Date: 30 Apr 2023 Level: Undergraduate|
This course consists of 4 modules
- Remote Sensing and Digital Image Analysis: Basic Principles of Remote Sensing, Earth Observing Sensors and Platforms, Spectral Signs of Various Land Cover Features, Image Interpretation, Thermal and Microwave Remote Sensing, Digital Image Processing: Basic Concepts for Correction and Registration, Refinement, Classification, and Accuracy Assessment Techniques.
- Global Navigation Satellite System: Introduction to GPS and GNSS, Receivers, Processing Methods, Errors, and Accuracy.
- Geographic Information System: GIS, database, topology, spatial analysis, and open source software.
- RS and GIS Applications: Agriculture and Soil, Forestry and Ecology, Earth Sciences and Geohazards, Marine and Atmospheric Sciences, Urban and Regional Studies, and Water Resources.
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Dr. Poonam S. Tiwari is a Researcher and Lecturer at the Indian Institute of Remote Sensing, ISRO, Dehradun. He has a Masters’s degree in Remote Sensing Technology and GIS. He received his Ph.D. from IIT, Roorkee, India. His areas of expertise focus on satellite photogrammetry, 3D data processing and analysis, and automated feature extraction using remote sensing data. He has published more than 40 research papers in international/national peer-reviewed journals and has mentored more than 50 graduate and postgraduate students in their dissertations/dissertations. He has more than 20 years of research and teaching experience in photogrammetric applications, laser data analysis, and automated feature extraction.
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This course consists of 4 modules. At the end of each module, you have to complete an assignment/test. The final exam takes place at the end of the course. Free Certificates are issued based on internal and final evaluations received
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