National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Syllabus

Course Details

Subject {L-T-P / C} : EC6411 : Remote Sensing { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Dr. Situ Rani Patre

Syllabus

Module 1. Introduction and Basic Concepts of remote sensing [8]
Concepts and types of remote sensing stages in remote sensing technology, advantages of RS over conventional methods of survey and inventorying. Definition of radiometry Black body radiation Spectral characteristics of solar radiation EMR Interaction with Earth materials Spectral signature concepts spectral reflectance and emittance specular reflection and nonspecular reflectance Albedo of materials EMR interaction with rocks, minerals, vegetation and water -Factors affecting spectral reflectance of materials. Instruments used to study the spectral reflectance spectrophotometer spectro-radiometer.
Module 2. Sensors and Platforms [10]
Types of sensors- passive sensors and active sensors imaging systems, photographic sensors Sensor resolution- spectral, spatial, radiometric and temporal Imaging sensors and non-imaging radiometers photograph v/s image, Panchromatic, Multispectral, hyperspectral, stereo images, Optical mechanical line scanner Pushbroom scanner Imaging spectrometer spaceborne imaging sensors, active and passive microwave sensors Thermal sensors Atmospheric sensors Sonar Laser, Radar, hyperspectral sensors. Types of platforms- airborne remote sensing, space borne remote sensing Orbital elements of satellite satellites for Land, Ocean, and atmospheric studies IRS, Landsat, SPOT, Radarsat, quick bird, Ikonos and ESA satellite series.
Module 3. Image Interpretation and Analysis: [8]
Fundamentals of satellite image interpretation Types of imaging, elements of interpretation Techniques of visual interpretation Generation of Thematic maps. Aerial Photogrammetry, Satellite Photogrammetry, Image Matching, Terrain Analysis, Cartography
Module 4. Digital Image Processing: [8]
Introduction to Digital Image Processing, Image Preprocessing, Image Enhancement, Image Classification, Image Fusion and Change Detection, Image Texture and Segmentation, Hyperspectral Image Analysis, Microwave & LiDAR Data Processing
Module 5. Advanced Remote Sensing Technologies: [6]
Synthetic Aperture Radar Side Looking Airborne Radar Hyper spectral Imaging Spectrometer Lidar Thermal Imaging System Advanced Laser Terrain Mapping. Applications of remote sensing for Natural Resource Management, Disaster Management, Planetary Missions. Global positioning System (GPS), and GNSS.

Course Objectives

  • To enable the students to improve their concepts of Remote Sensing and its interpreting Techniques.
  • To empower the students with skills in various practical approaches of remote sensing.
  • To enable the students to learn the concepts of Digital images its analysis.
  • To enable the students to know various practical approaches of remote sensing.

Course Outcomes

1. To understand the remote sensing techniques, its scope in real world. <br />2. To recognize the strengths and weaknesses of remote sensing techniques <br />3. To Distinguish among various sensors for specific Remote sensing applications. <br />4. To Understand the types of sensing and interpret the results obtained. <br />5. To analyze the digital images related to remote sensing

Essential Reading

  • George Joseph, Fundamentals of Remote Sensing, Universities Press, 2012
  • Iain H. Woodhouse, Introduction to Microwave Remote Sensing, CRC Press, 2012

Supplementary Reading

  • W. G. Rees, Physical Principles of Remote Sensing, Cambridge University Press, 2013
  • F.T. Ulaby, D.G. Long, Microwave Radar and Radiometric Remote Sensing, University of Michigan Press, 2013