| Course Title: Remote Sensing and Geo-information Science |
Credit Hours: 3 |
| Course No: ENV 553 |
Lecture Hours: 45 |
| Nature of Course: Theory (Compulsory) |
Full Marks: 75 |
Learning Objectives
This course aims to make the students able to:
- Explain the fundamentals of geo-information science
- Discuss the concepts and principles of remote sensing and geo-information science
- Impart the techniques and skills of this state-of-the-art technology to measure, monitor, map, analyse and predict the environmental process and phenomenon
- Describe the remote sensing techniques and explain their basic theoretical concept
- Comprehend the application of RS/GIS tools for the analysis of environmental processes
Unit 1: Remote Sensing Principle and Sensors (15 hrs)
1.1 Introduction and historical overview
1.2 Electromagnetic radiation (EMR) and spectrum
1.3 EMR interaction with the Earth's surface and atmosphere
1.4 Reflectance characteristics of earth features
1.5 Satellites, Sensors, Platforms, and Orbital Characteristics
1.6 Resolutions: Spatial, Spectral, Radiometric, and Temporal
1.7 Thermal and microwave remote sensing, Hyper-spectral remote sensing
Unit 2: Image Processing (7 hrs)
2.1 Geometric and radiometric correction, and Orthorectification
2.2 Image enhancement
2.3 Color composites and Visual image interpretation
2.4 Multi-band operation
2.5 Visual interpretation of image
2.6 Image classification
2.7 Aerial photography, Analytical photogrammetry and Digital photogrammetry
Unit 3: Geographic Information System 10 hrs
3.1 Geo-information system: Overview, Projections, and Coordinate system
3.2 GIS data models, relational databases and file formats
3.3 Spatial analysis: Vector models, Raster models
3.4 Satellite-based positioning
3.5 Geocoding and network analysis
3.6 Digital Elevation Model (DEM): Concepts and Application
Unit 4: Cartographic Principles and Techniques (3 hrs)
4.1 Different maps
4.2 Measurement scales
4.3 Visual variables, Map processing, Cosmetics, and Dissemination
Unit 5: Application of GI Science in Environmental Analysis (10 hrs)
5.1 Land resource status and change analysis
5.2 Hazard and vulnerability analysis
5.3 Land surface temperature, Soil moisture estimation, Terrain analysis and watershed characterization, Ecosystem and biodiversity, Water resources
References
- Burroughs, P.P., & McDonnel, R.A. (1998). Principles of GIS. Oxford University Press, pp. 299.
- Campbell, J.B. (1998). Introduction to remote sensing. Taylor and Francis, London.
- Demers, M.N. (2000). Fundamentals of geographic information systems. John Wiley and Sons, New York.
- Elachi, C. (1987). Introduction to the physics and techniques of remote sensing. Wiley Series in Remote Sensing, New York.
- Heywood, I., Cornelius, S., & Carter, S. (2002). An introduction to geographic information systems. Pearson Education Asia, Longman, Hong Kong.
- ITC. (2012). The core of GI science a systems-based approach. Faculty of Geo-information Science and Earth Observation, University of Twente, the Netherlands.
- Jensen, J.R. (2007). Remote sensing of the environment: an earth resource perspective. 2nd ed. Upper Saddle River, NJ, Prentice Hall, pp.592.
- Joseph, G. (1996). Imaging Sensors. Remote Sensing Reviews, 14: 257-442.
- Konecny, G. (2014). Geo-information: remote sensing, photogrammetry and geographic information systems. 2nd ed.
- Lillesand T.M., Kiefer, R.W., & Chipman J.W. (2004). Remote sensing and image interpretation. 5th ed. Willey, New York.
- Lo, C.P., & Yeung, A.K.W. (2006). Concepts and techniques of geographical information systems. 2nd ed. Prentice Hall, London.
- Murayama, Y., & Thapa, R.B. (2011). Spatial analysis and modeling in geographical transformation process: GIS based application. Springer, New York.
- Sabins, F.F. (2007). Remote sensing and principles of image interpretation. 3rd ed. Waveland Pr Inc.
Website Links
- http://www.nrcan.gc.ca/earth-sciences/geomatics/satellite-imagery-air-photos/satellite-imagery-products/educational-resources/9309
- http://geography.tamu.edu/class/aklein/geog461/lecture_notes.html
- The Remote Sensing Tutorial - http://rst.gsfc.nasa.gov/
- http://www.ccrs.nrcan.gc.ca/ccrs/learn/tutorials/fundam/chapter1/chapter1_1_e.html
- http://www.esri.com/esri-news/arcuser
- https://grass.osgeo.org/
- www.qgis.org/