Courses Catalogue

Principles Of Gis And Remote Sensing

COURSE CODE: ENV2110
COURSE CREDIT UNIT: 4
ACADEMIC PROGRAMME: Environmental Management, Bsc
COLLEGE/SCHOOL/FACULTY: School of Natural and Applied Sciences
STATUS: Core
PROGRAMME TYPE: Undergraduate

Course Description

COURSE DESCRIPTION

 

The course consists of two components: a Remote Sensing component and a Geographic Information Systems (GIS) component. The GIS component offers basic principles, knowledge, and skills needed to understand, manage, and handle spatial data. The Remote Sensing component is designed to introduce students to basics of data and information acquisition about the Earth’s surface from sensors with comparisons to ground based methods of data collection. Both course components are focused on the applications in Environmental management.

 

COURSE JUSTIFICATION/RATIONALE

 

With the trends of events in the natural and built environment, there is need to reflect on the past, present and the future which can not easily be mapped out with out GIS and remote sensing.

 

LEARNING OBJECTIVES

 

By the end of this course, the student should be able to:

  • Explain the basic concepts of Remote Sensing and GIS
  • Compare and contrast Ground based and Remote Sensing based methods of data collection and their integration in Environmental Management.
  • Describe the process of remote Sensing
  • Describe the basic characteristics  and representation of some of the different data types (models) and products required for both GIS and Remote Sensing applications for Environmental Management
  • Relate functions of a GIS to other Information Systems.
  • Classify different types of GIS and Remote Sensing
  • Describe  the basics of databases and database management systems

 

LEARNING OUTCOMES

 

A student completing the course is expected to demonstrate:

§  the principles of remote sensing and digital image processing;

§  the principles of geographic information systems (GIS);

§  the applications of remote sensing and GIS to solving problems in the environmental and life sciences;

§  the use of image processing and GIS software.