NPTEL - Remote Sensing Essentials
offered by IIT Roorkee

Public/Government Institute
Estd. 1847

Remote Sensing Essentials
at
IIT Roorkee
Overview

Learn everything you need to know about water resources, earth sciences, transportation engineering and give a boost to your professional career

Duration	12 weeks
Mode of learning	Online
Credential	Certificate

Remote Sensing Essentials
at
IIT Roorkee
Highlights

Earn a E- certificate of completion from IIT Roorkee

Remote Sensing Essentials
at
IIT Roorkee
Course details

Skills you will learn

Statistics Transportation

Who should do this course?

For Under- / Post-graduate engineering and post graduate science students / PhD candidates

More about this course

The proposed course provides basic understanding about satellite based Remote Sensing and Digital Image Processing technologies
Presently, remote sensing datasets available from various earth orbiting satellites are being used extensively in various domains including in civil engineering, water resources, earth sciences, transportation engineering, navigation etc
Google Earth has further made access to high spatial resolution remote sensing data available to non-experts with great ease
Knowledge of Digital Image Processing of satellite data allows to process raw satellite images for various applications

Remote Sensing Essentials
at
IIT Roorkee
Curriculum

Week 1

Rudiments of remote sensing and advantages

Historical Perspective of development of remote sensing technology

EM spectrum, solar reflection and thermal emission

Interaction of EM radiation with atmosphere including atmospheric scattering, absorption and emission

Interaction mechanisms of EM radiation with ground, spectral response curves

Week 2

Laws of Radiation and their relevance in Remote Sensing

Basis of remote sensing image representation

Various Remote Sensing Platforms

Multi-spectral scanners and imaging devices

Significant characteristics of LANDSAT, SPOT, Sentinel sensors

Week 3

Prominent characteristics of IRS, Cartosat, ResourceSat sensors

Unmanned Aerial Vehicle / Drone

Passive Microwave Remote Sensing

Image characteristics and different resolutions in Remote Sensing

Different techniques of Image acquisition

Week 4

Importance of digital image processing

Digital Image Processing Software

Basic image enhancement techniques

Colour representations and transforms

Image Histograms and statistics

Week 5

Atmospheric errors and corrections

Georeferencing Technique

Digital Image Processing Software ? Demonstration-1

Image enhancement techniques ?I

Image enhancement techniques ?II

Week 6

Digital Image Processing Software ? Demonstration-2

Spatial Filtering Techniques, Band rationing and PCA

Frequency Doman Fourier Transformation

Digital Image Processing Software ? Demonstration-3

Unsupervised image classification and density slicing techniques

Week 7

Supervised image classification techniques and limitations

Digital Image Processing Software ? Demonstration-4

LiDAR Technique and applications

Mosaicking, subsets, sub-sampling techniques and applications

False Topographic Phenomena and correction techniques-01

Week 8

False Topographic Phenomena and correction techniques-02

High Spatial Resolution Satellite Images and limitations

Basic Image Compression techniques and different image file formats

Hyperspectral Remote Sensing

Digital Image vs Digital Photograph

Week 9

NDVI and other indices

Active Microwave Remote Sensing-01

Active Microwave Remote Sensing-02

Radar Images interpretation and applications

SAR Interferometry (InSAR) Technique-01

Week 10

SAR Interferometry (InSAR) Technique-02

Principles of image interpretation

Image interpretation of different geological landforms, rock types and structures

Remote Sensing of Moon and Mars

Google Earth and its Applications

Week 11

Integrated applications of RS and GIS in groundwater studies-01

Integrated applications of RS and GIS in groundwater studies-02

Applications of Remote Sensing in Earthquake Studies-01

Applications of Remote Sensing in Earthquake Studies-02

Week 12

Different sources of free satellite images

Limitations of Remote Sensing Techniques

Remote Sensing Essentials
at
IIT Roorkee
Faculty details

Prof. Arun K. Saraf

Dr. Arun K. Saraf is Ph. D. (Remote Sensing) from University of Dundee, United Kingdom. Presently he is working as Professor in the Department of Earth Sciences, Indian Institute of Technology, Roorkee, and teaches courses on Remote Sensing, Digital Image Processing, Geographic Information Systems (GIS), Advanced GIS, Geomorphology, Geohydrology etc. to under- and post-graduate students of Geological Technology and Applied Geology.