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AKTU Remote Sensing and Applications (BAC052) Syllabus PDF – B.Tech 3rd Year

Remote Sensing and Applications BAC052

All syllabus, notes, question bank & PYQ for this subject

  • English
  • Semester 5
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Official AKTU syllabus of Remote Sensing and Applications (BAC052) for B.Tech 3rd Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.

Syllabus — Remote Sensing and Applications

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BAC052 · 3 credits · L-T-P 3-0-0

UnitTopicLectures
ISatellite Communication and Remote Sensing Applications Introduction to Satellite Communication includes types of satellites such as geostationary and polar-orbiting, orbit selection and coverage, data transmission and reception, and the role of ground stations for remote sensing.8
IIApplications & Methods of Satellite Remote Sensing: Agriculture, crop monitoring, urban planning, Defence applications, health and medical uses, disaster management and climate studies for atmospheric research and forecasting. Various Methods of Data acquisition for remote sensing.8
IIICamera Technologies for Satellite Remote Sensing: Camera resolution, type of resolution, image bandwidth, Image data volume, size of the optic, aperture for light revelation, field of view (FOV), radiometric resolution, pixel pitch, focal length, types of lenses, and optical payloads for satellite imagery, brief study of camera sensors used in the satellite payload available in literature.8
IVImage Processing and Interpretation in Remote Sensing Basics of Digital Image Processing, Preprocessing Techniques (Radiometric and Geometric Corrections), Image Enhancement and Classification (Supervised & Unsupervised), Introduction to GIS (Geographic Information System)8
VEmerging Trends and Practical Applications of Remote Sensing Hands-on Project: Analysing Satellite Images Using Open-Source Tools (QGIS, Google Earth Engine) Case Studies: Identifying Land Use, Vegetation Mapping, and Climate Monitoring using NOAA/ Landsat etc.8

Text Books

  1. Remote Sensing and Image Interpretation,7ed (An Indian Adaptation), Thomas Lillesand, Ralph W. Kiefer, Dr. P. K. Champati Ray, Wiley, 2022
  2. Principle of Remote Sensing, Wim H. Bakker, et al., ITC Educational Textbooks, 2001

Reference Books

  1. Space Optical Remote Sensing, Jiasheng Tao, Springer, 2023.
  2. Introduction to Remote Sensing, Sixth Edition, James B. Campbell, Randolph H. Wynne, and Valerie A. Thomas, 2022 COURSE OUTCOME: After completion of the course student will be able to:
  3. Explain the fundamental principles and applications of remote sensing in engineering contexts.
  4. Demonstrate proficiency in applying image processing techniques to interpret remote sensing data.
  5. Evaluate and select appropriate remote sensing systems for specific engineering challenges.
  6. Design remote sensing systems tailored to meet specific engineering requirements.
  7. Assess the impact of emerging trends in remote sensing technologies on engineering applications.

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