18CV651 Remote Sensing & GIS syllabus for CV

Remote Sensing:

Basic concept of Remote sensing, Data and Information, Remote sensing data collection, Remote sensing advantages & Limitations, Remote Sensing process. Electromagnetic Spectrum, Energy interactions with atmosphere and with earth surface features (soil, water, and vegetation), Resolution, image registration and Image and False color composite, elements of visual interpretation techniques.

Remote Sensing Platforms and Sensors:

Indian Satellites and Sensors characteristics, Remote Sensing Platforms, Sensors and Properties of Digital Data, Data Formats: Introduction, platformsIRS, Landsat, SPOT, Cartosat, Ikonos, Envisat etc. sensors, sensor resolutions (spatial, spectral, radiometric and temporal). Basics of digital image processing- introduction to digital data, systematic errors(Scan Skew, Mirror-Scan Velocity, Panoramic Distortion, Platform Velocity , Earth Rotation) and non-systematic [random] errors(Altitude, Attitude), Image enhancements(Gray Level Thresholding, level slicing, contrast stretching),image filtering.

Geographic Information System:

Introduction to GIS; components of a GIS; Geographically Referenced Data, Spatial Data- Attribute data-Joining Spatial and attribute data, GIS Operations: Spatial Data Input – Attribute data Management, Geographic coordinate System, Datum; Map Projections: Types of Map Projections, Projected coordinate Systems. UTM Zones.

Data Models:

Vector data model: Representation of simple features – Topology and its importance; coverage and its data structure, Shape file; Relational Database, Raster Data Model: Elements of the Raster data model, Types of Raster Data, Raster Data Structure, and Data conversion.

Integrated Applications of Remote sensing and GIS:

Applications in land use land cover analysis, change detection, water resources, urban planning, environmental planning, Natural resource management and Traffic management. Location Based Services And Its Applications.

Course outcomes:

After studying this course, students will be able to:

1. Collect data and delineate various elements from the satellite imagery using their spectral signature.

2. Analyze different features of ground information to create raster or vector data.

3. Perform digital classificationandcreatedifferentthematicmapsforsolvingspecificproblems

4. Make decision based on the GIS analysis on thematic maps.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.

Textbooks:

1. Narayan Panigrahi, “Geographical Information Science”, and ISBN 10: 8173716285 / ISBN 13: 9788173716287, University Press2008.

2. Basudeb Bhatta, “Remote sensing and GIS” , ISBN:9780198072393, Oxford University Press2011

3. Kang – T surg Chang, “Introduction to Geographic Information System”. Tata McGraw Hill Education Private Limited2015.

4. Lilles and, Kiefer, Chipman,“RemoteSensingandImageInterpretation”,Wiley2011.

Reference Books:

1. Chor Pang Lo and Albert K.W Yeung, “Concepts &Techniques of GIS”, PHI,2006

2. John R. Jensen, “Remote sensing of the environment”, an earth resources perspective–2nd edition– by Pearson Education2007.

3. Anji Reddy M., “Remote sensing and Geographical information system”, B. S. Publications2008.

4. Peter A. Burrough, Rachael A. McDonnell, and Christopher D. Lloyd, “Principals of Geo physical Information system”, Oxford Publications2004.

5. S Kumar,“Basics of remote sensing & GIS”, Laxmi publications 2005.