Basics of Remote sensing, GIS & GNSS technology and their applications

Por: Swayam . en: , ,


Basics of Remote Sensing, Geographical Information System (GIS) and Global Navigation Satellite System (GNSS)is a 15 week course conducted by IIRS through Live and Interactive mode. The course constitutes 77.5 learning hours spread across three modules namely Basics of Remote Sensing, Global Navigation Satellite System and Geographic Information System and Applications of Geopspatial technology. The syllabus and the lecture content is modified every year by the faculty based on the feedback received and the emerging trends in the technology.

During the course, the participants will be exposed to Basic Principles of Remote Sensing, Earth Observation Sensors and Platforms, Thermal Remote Sensing, Spectral Signatures of Different Land cover Features and Visual Image interpretation and Hyperspectral Remote Sensing technology. The course also includes various digital Image processing techniques namely Image Rectification and Registration, Image Enhancement techniques, Image Classification Techniques and Accuracy Assessment. Theoretical concepts is followed up with the practical demonstration using free and open source softwares.

The participants will be appraised of the technological principles of GNSS with focus on GNSS receivers, GNSS data processing methods, errors and accuracy, Satellites based Augmentation systems which includes GPS Aided and GEO Augmented Navigationor GAGAN. The Indian Regional Navigation Satellite System (IRNSS) or Navigation with Indian Constellation (NaVic) will be discussed in detail. The GPS signal characteristics, Data formats (broadcast, precise ephemeris) DGPS demonstration, Advance GNSS processing and Mobile Mapping will also be discussed during the course.

The course includes principles of GIS technology with an overview of GIS, Geographic Phenomena, Data Inputting and Editing in GIS, GIS Data Models, GIS System Architecture, Geographic Data Standards and Policies, Topology and Spatial Relationship, Spatial Data Analysis, Spatial Data Quality, Spatial Data Errors, Map Projection and Advanced Geospatial Modelling. The free and open source software will be used as a platform for demonstrations and development.