Course Overview

Modern planners need to deal with huge amount of spatial data. Production of these data is often expensive and time consuming. Using remotely sensed images we can acquire data of large areas. Therefore this course offers remote sensing techniques and photogrammetry as the part of decision support system for planning. This course will be conducted simultaneously with the sessional part.

Course Objectives

This course is prepared to meet the objectives GD10 Aerial imaging and photogrammetry and GD11 Satellite and shipboard remote sensing. Students of this course are expected to learn and understand the basic concept and techniques associated with remote sensing and aerial photo interpretation. The learning objectives of this course are as follows:

·       Students will be able to explain the utility and history of remote sensing in planning practice

·       They will be able to explain the basics of electromagnetic spectrum

·       Students will understand the principles of remote sensing, image enhancement and analysis

·       Students will be capacitated to understand the basics of digital photogrammetry

·       They will be able to understand the map making process using remotely sensed images

Intended Learning Outcomes (ILOs)

At the end of the course students will be able to

·       Explain how electromagnetic radiation is used in remote sensing and describe the usages of different wavelengths of the electromagnetic spectrum,

·       Analyse the considerations of flight planning for aerial photo acquisition, geometric characteristics of aerial photos, the concepts of spatial, spectral, radiometric and temporal resolution and their usages in selection of the most appropriate data source(s) for a particular analytical task;

·       Describe the basic elements of visual image analysis and will be able to describe the process of interpretation of aerial photographs;

·       Identify the geometric errors of digital images and also process of correcting these errors;

·       Describe different image classification process, their usages and interpretation of the results;