JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Pre Requisites

Surveying

Course Objectives

This course will make the student to understand about the principles of

GIS, Remote Sensing, Spatial Systems, and its applications to Engineering Problems.

Course Outcomes

At the end of the course, the student will be able to:

• Retrieve the information content of remotely sensed data
• Analyze the energy interactions in the atmosphere and earth surface features
• Interpret the images for preparation of thematic maps
• Apply problem specific remote sensing data for engineering applications
• Analyze spatial and attribute data for solving spatial problems
• Create GIS and cartographic outputs for presentation

UNIT - I

Introduction to Photogrammetry: Principles& types of aerial photograph, geometry of vertical aerial photograph, Scale & Height measurement on single vertical aerial photograph, Height measurement based on relief displacement, Fundamentals of stereoscopy, fiducial points, parallax measurement using fiducial line.

UNIT - II

Remote Sensing: Basic concept of remote sensing, Data and Information, Remote sensing data Collection, Remote sensing advantages & Limitations, Remote Sensing process. Electro-magnetic Spectrum, Energy interactions with atmosphere and with earth surface features (soil, water, vegetation), Indian Satellites and Sensors characteristics, Resolution, Map and Image and False color composite, introduction to digital data, elements of visual interpretation techniques.

UNIT - III

Geographic Information Systems: Introduction to GIS; Components of a GIS; Geospatial Data: Spatial Data-Attribute data – Joining Spatial and Attribute data; GIS Operations: Spatial Data Input- Attribute data Management –Data display- Data Exploration- Data Analysis. COORDINATE SYSTEMS: Geographic Coordinate System: Approximation of the Earth, Datum; Map Projections: Types of Map Projections-Map projection parameters- Commonly used Map Projections - Projected coordinate Systems

R16 B.TECH AERONAUTICAL ENGG.

UNIT - IV

Vector Data Model: Representation of simple features- Topology and its importance; coverage and its data structure, Shape file; Data models for composite features Object Based Vector Data Model; Classes and their Relationship; The geobase data model; Geometric representation of Spatial Feature and data structure, Topology rules

UNIT - V

Raster Data Model: Elements of the Raster data model, Types of Raster Data, Raster Data Structure, Data Conversion, Integration of Raster and Vector data. Data Input: Metadata, Conversion of Existing data, creating new data; Remote Sensing data, Field data, Text data, Digitizing, Scanning, on screen digitizing, importance of source map, Data Editing

TEXT BOOKS:

• 1. Remote Sensing and GIS Lillesand and Kiefer, John Willey 2008.
• 2. Remote Sensing and GIS B. Bhatta by Oxford Publishers 2015.
• 3. Introduction to Geographic Information System – Kang-Tsung Chang, McGraw-Hill 2015

REFERENCES:

• 1. Concepts & Techniques of GIS by C. P. Lo Albert, K.W. Yonng, Prentice Hall (India) Publications.
• 2. Principals of Geo physical Information Systems – Peter A Burragh and Rachael A. Mc Donnell, Oxford Publishers 2004.
• 3. Basics of Remote sensing & GIS by S. Kumar, Laxmi Publications. R16 B.TECH AERONAUTICAL ENGG. B.TECH. CIVIL AND ENVIRONMENTAL ENGINEERING