GI25302 Remote Sensing – Semester III – Geo – R-2025

Subject Code & Name: GI25302 – Remote Sensing

Regulation: R-2025

Semester: III (Third Semester)

Branch: B.E. Geoinformatics Engineering (Geo)

Credits / L-T-P: 3 Credits | L-T-P: 3-0-0

Course Objectives

• To provide comprehensive knowledge on the principles of remote sensing, electromagnetic radiation, and sensor systems.

Full Unit-wise Syllabus

Unit I – Fundamentals of Remote Sensing, EMR

Principles of remote sensing, electromagnetic spectrum, radiation laws, and energy interactions. Atmospheric effects, spectral signatures, and reflectance characteristics of earth features.

Activities: Poster Presentation on reflectance characteristics

Unit II – Satellite Orbits, Platforms and Sensors

Satellite motion, Kepler’s laws, orbital types, and remote sensing platforms. Sensor types, resolution concepts, and characteristics of earth observation satellites.

Activities: Flipped Classroom discussion on satellite platforms and sensors.

Unit III – Remote Sensing Data Products and Image Processing

Types of remote sensing data, preprocessing, corrections, and image enhancement techniques. Histogram analysis, band combinations, filtering, and data management.

Activities: Seminar on histogram stretching and image enhancement.

Unit IV – Image Interpretation and Applications

Visual and digital image interpretation techniques, LULC mapping, and image statistics; Applications in agriculture, water resources, disaster management, and urban planning.

Activities: Case study on Land use/land cover mapping using satellite imagery

Course Outcomes (COs)

• CO1: Explain the principles of electromagnetic radiation and its interaction with atmosphere and earth surface features.
• CO2: Interpret remote sensing data acquired from various satellite platforms and sensors based on resolution and data characteristics.
• CO3: Analyze and preprocess satellite data using visual and digital image interpretation techniques.
• CO4: Select appropriate remote sensing data products for specific engineering and environmental applications.

Assessment Pattern (Quick Note)

• Weightage: Continuous Assessment 40% | End Semester Examinations 60%
• Internal methodology: Quiz - 10%, Case study report – 20%; Seminar report – 20%, Internal Examinations – 50%

Source: Official Anna University – B.E. Geoinformatics Engineering R-2025 Curriculum
Last Updated: September 2026

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