REMOTE SENSING GIS & GPS

Paper Code: 
24GEO 143
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Course Outcomes: 

Course

Course Outcomes (Cos)

Learning & Teaching Strategies

Assessment Strategies

Paper Code

Paper Title

 

 

 

 

 

 

 

 

 

24

GEO 143

 

 

 

 

 

 

 

 

Remote Sensing, GIS & GPS

On completion of this course, the students will be able to:

CO8: Students will able to understand the basic concept and significance of remote sensing and aerial photography from geographical point of view.

CO9: Students will able to understand GIS and use of data model like raster and vector and DEM.

CO10: Students will able to enhance their knowledge about uses of GPS, RS and GIS software, data input, geo- referencing and data handling.

CO11: They will able to understand the use of GIS and RS in urban planning, water resources, soil identification and agriculture.

CO12:   Students will able to understand the use of GPS and GIS in Urban planning, rural planning,       water       resource, environment, land use and land cover mapping and Agriculture. CO13: Contribute effectively in course-specific interaction.

Approach in Teaching:

 

Interactive lectures, Discussion, Tutorials, Reading assignments, Demonstrations, Summative and Formative assessments workshops, Mini video lessons, Digital modules

 

Learning activities for the students:

 

Self-            learning assignments, effective questions, Seminar presentation.

Class        Test,

Semester    end examinations, Quiz,    Solving problems      in Tutorials, Assignments, Presentation, Individual and Group projects.

 

15.00

·         Introduction to Remote Sensing; Fundamental principles, Electromagnetic radiation,

·         EMR spectrum, EMR interaction with atmosphere and earth surface features,

·         Photogrammetry; Aerial photographs: Types Characteristics; Scale and Geometry

Aerial photographs, Relief displacement

15.00

·         Definition and scope of GIS; Components of GIS; development of GIS.

·         Map Projection

·         Implications of spherical and planar coordinate systems and their transformations in

·         GIS; Geo-referencing and implications of Earth’s shape and datum in GIS;

·         Data model: Raster and Vector models for geographic data representation; GIS data

·         standards—concepts and components;

Digital Elevation Model (DEM): process, derivatives and applications

15.00
  • Introduction to GPS; GPS, Remote sensing and GIS integration;
  • Mobile GIS and its application
  • Open source Portal : Importance & Uses
  • Graphic User Interface of RS Software – GIS Software

 

 

15.00
  • Data Input: Spatial and Non-Spatial; Scanning, Digitizing; Data Import and Export;
  • Data Registration, Georeferencing; Mosaic preparation
  • Topology Building, Data Editing and Cleaning; Geo-Referencing
  • Projection and Datum; Coordinate Transformation; Linking Spatial and Non-Spatial Data
  • Data Base Creation; Attribute Handling

 

15.00
  • GPS and GIS in Urban planning, rural planning, water resource, environment, land use and land cover mapping.
  • Remote Sensing in Agriculture – An Overview, Principles of crop identification and
  • Crop inventory, Soil morphology and classification

 

Essential Readings: 
  • Adrados, C., Girard, I., Gendner, J., &Janeau, G. (2002). Global Positioning System (GPS) location accuracy due to selective availability removal. C. R. Biologies, 325, 165-170.
  • Arvanitis, L., Ramachandran, B., Brackett, D., Rasoul, H., & Du, X. (2000).
  • Multiresource inventories incorporating GIS, GPS and database management systems: A conceptual model. Computers and Electronics in Agriculture, 28, 89-100.
  • Basudeb Bhatta, Remote sensing and GIS, Oxford University Press, Nov 2011
  • David L.Verbyla - Practical GIS Analysis
  • Ellis, E. A., Nair, P. K. R., Linehan, P. E., Beck, H. W. & Blance, C. A. (2000). A GIS-based database management application for agroforestry planning and tree selection. Computers and Electronics in Agriculture, 27, 41-55.
  • Lillesand, Remote Sensing And Image Interpretation, 5Th , John Wiley & Sons, 2007.
  • Walsh, A. and J. C. Ollenburger, 2000: Essential Statistics for the Social and Behavioral Sciences: A Conceptual Approach. Prentice Hall, pp. 320. ISBN-13: 978-0130193391

 

Academic Year: 
2024-2025