BOE066

GIS & Remote Sensing

L-T-P3-0-0 Credits3 Session2024-25 TypeTheory
Appears in 35 semesters · 35 branches

B.Tech Civil Engineering · Sem 6 (Open Elective-I) · B.Tech Mechanical Engineering · Sem 6 (Open Elective-I) · B.Tech Computer Science & Engineering · Sem 6 (Open Elective-I) · B.Tech Information Technology · Sem 6 (Open Elective-I) · B.Tech Artificial Intelligence & Machine Learning · Sem 6 (Open Elective-I) · B.Tech Artificial Intelligence & Data Science · Sem 6 (Open Elective-I) · B.Tech CSE (Artificial Intelligence) · Sem 6 (Open Elective-I) · B.Tech CSE (AI & ML) · Sem 6 (Open Elective-I) · B.Tech CSE (Data Science) · Sem 6 (Open Elective-I) · B.Tech CSE (Cyber Security) · Sem 6 (Open Elective-I) · B.Tech CSE (Internet of Things) · Sem 6 (Open Elective-I) · B.Tech Computer Science & Design · Sem 6 (Open Elective-I) · B.Tech Computer Science (Hindi) · Sem 6 (Open Elective-I) · B.Tech Electrical Engineering · Sem 6 (Open Elective-I) · B.Tech Electrical & Electronics Engineering · Sem 6 (Open Elective-I) · B.Tech Electrical & Computer Engineering · Sem 6 (Open Elective-I) · B.Tech Electronics & Communication Engineering · Sem 6 (Open Elective-I) · B.Tech Electronics & Instrumentation / Instrumentation & Control · Sem 6 (Open Elective-I) · B.Tech Electronics & Computer Engineering · Sem 6 (Open Elective-I) · B.Tech ECE (Advanced Communication Technology) · Sem 6 (Open Elective-I) · B.Tech Electronics Engineering (VLSI Design & Technology) · Sem 6 (Open Elective-I) · B.Tech Automobile Engineering · Sem 6 (Open Elective-I) · B.Tech Aeronautical Engineering · Sem 6 (Open Elective-I) · B.Tech Mechanical & Industrial Engineering · Sem 6 (Open Elective-I) · B.Tech Production & Industrial Production Engineering · Sem 6 (Open Elective-I) · B.Tech Manufacturing Technology · Sem 6 (Open Elective-I) · B.Tech Mining Engineering · Sem 6 (Open Elective-I) · B.Tech Chemical Engineering · Sem 6 (Open Elective-I) · B.Tech Plastic Engineering · Sem 6 (Open Elective-I) · B.Tech Food Technology · Sem 6 (Open Elective-I) · B.Tech Handloom & Textile Technology · Sem 6 (Open Elective-I) · B.Tech Carpet & Textile Technology · Sem 6 (Open Elective-I) · B.Tech Biotechnology · Sem 6 (Open Elective-I) · B.Tech Bioinformatics · Sem 6 (Open Elective-I) · B.Tech Agricultural Engineering · Sem 6 (Open Elective-I)

Syllabus

5 units · 40 lecture hours
Unit1

Unit 1

8 hrs

Basic component of remote sensing (RS), advantages and limitations of RS, possible use of RS techniques in assessment and monitoring of land and water resources; electromagnetic spectrum, energy interactions in the atmosphere and with the Earth’s surface; major atmospheric windows; principal applications of different wavelength regions; typical spectral reflectance curve for vegetation, soil and water, spectral signatures.

Unit2

Unit 2

8 hrs

Different types of sensors and platforms; contrast ratio and possible causes of low contrast; aerial photography; types of aerial photographs, scale of aerial photographs, planning aerial photography- end lap and side lap; stereoscopic vision, requirements of stereoscopic photographs; air-photo interpretation- interpretation elements;

Unit3

Unit 3

8 hrs

Photogrammetry- measurements on a single vertical aerial photograph, measurements on a stereo-pair- vertical measurements by the parallax method; ground control for aerial photography; satellite remote sensing, multispectral scanner- whiskbroom and push-broom scanner; different types of resolutions; analysis of digital data- image restoration; image enhancement; information extraction, image classification, unsupervised classification, supervised classification, important consideration in the identification of training areas, vegetation indices.

Unit4

Unit 4

8 hrs

Microwave remote sensing. GI Sand basic components, different sources of spatial data, basic spatial entities, major components of spatial data, Basic classes of map projections and their properties. .

Unit5

Unit 5

8 hrs

Methods of data input into GIS, Data editing, spatial data models and structures, Attribute data management, integrating data (map overlay) in GIS, Application of remote sensing and GIS for the management of land and water resources.

Course Objectives2 points
  • Students undergoing this course are expected to-
  • Understand about the principles of GIS, Remote Sensing, Spatial Systems, and its applications to Engineering Problems.
Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Understand about the principles of Remote Sensing and its advantages and limitations.
  2. CO2Retrieve the information content of remotely sensed data.
  3. CO3Apply problem specific remote sensing data for engineering applications.
  4. CO4Analyze spatial and attribute data for solving spatial problems.
  5. CO5Create GIS and cartographic outputs for presentation

Text & Reference Books

  1. Reddy Anji, M. 2006. Textbook of Remote Sensing and Geographical Information Systems. BS Publications, Hyderabad.
  2. Elangovan, K. 2006. GIS Fundamentals Applications and Implementations. New India Publication Agency, New Delhi.
  3. George Joseph. 2005. Fundamentals of Remote Sensing. 2nd Edition. Universities Press (India) Private Limited, Hyderabad.
  4. Jensen, J.R. 2013. Remote Sensing of the Environment: An Earth Resource Perspective. Pearson Education Limited, UK.
  5. Lillesand, T., R.W. Kiefer and J. Chipman. 2015. Remote Sensing and Image Interpretation. 7th Edition, John Wiley and Sons Singapore Pvt. Ltd., Singapore.
  6. Sabins, F.F. 2007. Remote Sensing: Principles and Interpretation. Third Edition, Waveland Press Inc., Illinois, USA.

Official AKTU syllabus

This subject is on page 11 of the original AKTU PDF.

Official AKTU syllabus PDF ↗