The syllabus has been developed on a competency-based approach so that the trainee is able to have knowledge and skills in water resources technology and management. This programme is intended to impart skills, knowledge and attitudes that the trainee will apply in water resources management
The syllabus has been developed on a competency-based approach so that the student is able to acquire knowledge and skills in water and waste water laboratory technology and management. This programme is intended to impart skills, knowledge and attitudes that the student will apply to carry out routine work in water and wastewater analysis laboratories. He/she will be able to prepare and interpret the results competently.
Prerequisites: General Skills in Mathematics, Physics, Geography and Computer Applications.
This Course Unit is intended to equip the trainee with relevant knowledge, skills and attitudes in Concepts and Principles of Remote Sensing, the data acquisition process and the interpretation of remote sensing images, Types of spatial data types in GIS, Spatial Referencing and Positioning Frames used in GIS and applications of Remote Sensing and GIS in water and related sectors.
At the end of this course unit, the trainee should be able to:
a) Explain the Concepts and Principles of Remote Sensing and GIS
b) Outline the spatial data types used in GIS
c) Describe and apply the elements of Image interpretation to interpret remote sensing images
d) Describe Spatial Referencing and Positioning Frames used in GIS
e) List various applications of Remote Sensing and GIS in water and related sectors
Topics and Learning Activities
Introduction: Definition of Remote Sensing, Definition of GIS, Relationship between Remote Sensing and GIS, Relevance of Remote Sensing and GIS in the Water Sector Concepts and Foundations of Remote Sensing: Introduction, Sources of Energy, Electromagnetic Spectrum, Radiation Interaction with Atmosphere and Earth surface features, Types of Remote Sensing, Remote Sensing Data Acquisition Process Introduction, Data Sources, Remote Sensing Sensors, Remote Sensing Satellite Systems, Processing of Raw Remote Sensing Data Image Interpretation: Introduction, Visual Image Interpretation, Equipments for Image Interpretation, Computer aided Image Interpretation Concepts and Foundations of GIS: Components of GIS, Principles of GIS, Functions of GIS, Ideal GIS and Real World, Sources of Data in GIS. Geographic Information and Spatial Data Types: Models and representations of the real world, Geographic phenomena, Computer representations of geographic information (Vector and Raster), Topology and spatial relationships Spatial Referencing and Positioning Frames: Coordinate systems, Map projections, Coordinate transformations, Applications of Remote Sensing and GIS: Introduction to applications of Remote Sensing and GIS in Agriculture Forestry, Geology, Hydrology, Planning, Land Cover Mapping, marine resources, disaster management, Drought mitigation and food security, etc
Learning Activities: Lectures, Exercises, Group discussions, Practical-Visual Image Interpretation Lab work-Computer aided Image interpretation
1. Wim H. Bakker et al, Principles of Remote Sensing, An introductory textbook.
2. Keiffer et al, Remote Sensing and Image Interpretation.
3. Arthur and Ladson, Introduction to Remote Sensing.
4. Otto and Rolf, Principles of Geographic Information Systems, An introductory textbook.
GIS and Remote Sensing Laboratory, Remote Sensing and GIS Data, GIS and Remote Sensing Text books, journals ,Broadband Internet