SW2064 : Remote Sensing and its Application

Department

Department of Soil and Water

Academic Program

Bachelor in Water Science

Type

Elective

Credits

03

Prerequisite

Overview

This course aims to enable the student to understand the basics of remote sensing science and its historical development. This course enables the student to identify the components and elements of remote sensing. This course deals with the identification of data and information used in remote sensing technology (e.g.: satellite images and aerial photos). This course aims to enable students to identify methods of analyzing, interpreting and processing satellite images and aerial images, and applying them realistically in the study of land resources (such as: vegetation cover, soil, water).

Intended learning outcomes

By the end of the course the student will be able to:

A. Knowledge and understanding

A.1. Understands the basic meanings of remote sensing technology.

A.2. Understands the basic elements and components of remote sensing systems.

A.3. Distinguishes between satellite images and aerial photos.

A.4. Interprets the characteristics of aerial photographs and various space visuals.

A.5. Knows the general applications of remote sensing techniques in the field of soil, water and land cover.

B. Mental Skills

B 1. The ability to understand the elements and components of remote sensing.

B.2. The ability to use remote sensing techniques as a tool to support the decision-making system.

B.3. Learn the principles used in processing satellite images data.

B.4. Compare different methods in the study of vegetation cover, soil and water.

B.5. The ability to track changes in vegetation cover, soil and water.

C. Practical & professional skills

C.1. Uses the software available in the field of remote sensing and its employment in the study of land resources (soil, water, vegetation cover).

C.2. Understands the characteristics, advantages and disadvantages of different types of satellite and aerial images.

C.3. Recognizes the different methods of processing satellite visuals and aerial images

C.4. Understands the traditional and modern methods used in the interpretation of space visualizations.

C.5. Designing research project in the field of studying land resources by using remote sensing technology.

D. Generic and transferable skills

D.1. Understand remote sensing technology to ensure its integration into the future work environment.

D.2. The ability to use appropriate scientific techniques to meet current and future development challenges.

D.3. The ability to work within a research team to provide advice and solutions in the field of soil, water and vegetation resources.

D.4. Contribute to the development of future plans to reduce the obstacles that may affect some terrestrial resources such as soil, water and vegetation resources.

D.5. Helps decision makers within the country to face agricultural and environmental problems.

Teaching and learning methods

1. Theoretical lectures + assignments.

2. Laboratory lessons.

Methods of assessments

No

Assessment Methods

Assessment date

Percentage

1

First midterm exam (written exam)

After the fifth week of study

20 %

2

Second midterm exam (written exam)

After the tenth week of study

20 %

Final midterm exam

(Lab exam)

After the Twelfth week of study

20 %

3

Final midterm exam

(written exam)

After the Twelfth week of study

40 %

Total

100%