SW4973 : Advanced Remote Sensing

Department

Department of Soil and Water

Academic Program

Master in Water Science

Type

Elective

Credits

03

Prerequisite

Overview

This course is concerned with identifying the concept of remote sensing techniques and their applications in the field of land resources. This course introduces the different sources of information for remote sensing technology, which include aerial photographs and satellite images. This course is also concerned with explaining the operations used in the processing of satellite visuals, which include geometric correction, subtraction, processing, optimization, visual analysis, and unsupervised and supervised classification. The student learns how to use some of the software used in remote sensing techniques, such as: ERDAS IMAGINE or ENVI, in the study of land resources (soil - water - vegetation and land cover).

Intended learning outcomes

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

A. Knowledge & understand

A.1. Learn remote sensing techniques and their practical applications and future importance.

A.2. Compare the characteristics of aerial photographs and various satellite images.

A.3. Learn about the types of satellite images and satellites that produce this type of data and how they interact with the target, energy recording, reception and processing, as well as interpretation, analysis and application.

A.4. Looks at the research that has been conducted by means of remote sensing techniques in the fields of soil, water, vegetation cover and land use at the local and global levels.

A.5. Understand the types of analyzes and classifications satellite images, methods of implementation, and how they are used as a basis for agricultural programs, plans, and projects.

B. Mental skills

B 1. Deeply aware of the concepts and foundations of remote sensing technologies, their main components, and the scientific and physical foundations upon which these techniques are built.

B.2. Distinguishes between satellite images and aerial photographs, the differences and similarities between them, and the purpose of their use.

B.3. Compares the types of classifications, analyzes and interpretations of the results of using remote sensing techniques in his field of study.

B.4. Links the use of remote sensing techniques and geographic information systems in order to facilitate the display of data and information, improve its accuracy, and produce high-resolution digital maps.

B.5. Understand the concepts of remote sensing techniques, their main components, and the scientific and physical foundations upon which these techniques are built.

C. Practical & professional skills

C.1. Classifies different satellite images and compares them.

C.2. Understand some of the programs used in analyzing satellite images.

C.3. He is trained in the programs used in analyzing satellite images in the field of studying earth resources.

C.4. Conduct the supervised and unsupervised classification of land cover to track the change in land use / land cover.

C.5. He has the ability to apply satellite images in the field of studying land resources.

D. Generic and transferable skills

D.1. Uses remote sensing techniques in his research field.

D.2. Uses GPS to locate the study sites and take ground points for use in testing the validity of data and maps.

D.3. Uses computer programs that deal with remote sensing techniques, in order to produce maps and perform the required analyzes on satellite images.

D.4. Interpret the results of supervised and un supervised classification of satellite images.

D.5. Supports decision makers to make the right decision in the agricultural and service sectors.

Teaching and learning methods

1. Lectures.

2. Panel discussions and dialogue + quarterly research.

3. Laboratory applications

4. Field trips

No

Assessment Methods

Assessment date

Percentage

1

First midterm exam

After the fifth week of study

20 %

2

Second midterm exam

After the tenth week of study

20 %

3

Final midterm exam (Lab)

After the week of twelfth study

20 %

4

Final midterm exam

After the week of twelfth study

40 %

Total

100 %