In this course students are going to be
introduced to the basic concepts and operational skills necessary to acquire
the most appropriate remote sensing data, data manipulation and analysis, and
the production of interpretable output.
The application of these techniques to
the forestry and environmental sciences also will be provided. The first part
of the course focuses on remote sensing, including the capture and processing
of satellite images, and how data from various satellite platforms are used in
the forestry and life sciences. The fundamentals of electromagnetic radiation
are going to be explained, as are its interactions with Earth’s surface and
atmosphere. Moreover, the course goes on to examine sensor characteristics,
satellite orbits and various current.
The second part will include the most
important image processing techniques that needed for the forestry field. In
addition, the skills of image processing are going to be used to extract
meaning and interpretation from the spatial relationships of data. The course
is strongly computer-based, and students will gain experience in the use of
ENVI (remote sensing).
Course
Objective
To introduce
students to the fundamentals of remote sensing, and demonstrate present
applications of the technology in integrated & applied sciences
including environmental and health science studies;
To
develop a basic understanding of the concepts, science and theory
behind Remote Sensing including Physical, Chemical, and Engineering
aspects;
To become familiar with ENVI software, and basic introductory technical skills in this software;
Gain
experience in the applications of remote sensing for solving managing
and controlling problems in the Forestry and environmental sciences.
Student's
Obligation
Student
must follow and read the lectures day by day and have to show the
ability of understanding the topic through the Lab and the projects.
Moreover, Students will be responsible for information covered in the
assigned readings and materials covered during lectures. Students will
be expected to complete the specified assignments during or outside of
the designated laboratory and lecture periods as necessary.
Assessment
Scheme
Students will be responsible for
information covered in the assigned readings and materials covered during
lectures.
Students will be expected to complete
the specified assignments during or outside of the designated laboratory
and lecture periods as necessary.
Exams
emphasize material from the lecture component of the course, but students
also will be responsible for material covered in laboratories.
The following is a summary of the assignments, and exams.
Task
Theoretical
Practical
Total
Exam
30%
10%
30%
Exercise & activities
10%
20%
30%
Projects
30%
30%
Average
30%
Final Exam
50%
20%
70%
Total
100%
Student Learning Outcome
At the end of the Remote Sensing image processing course students should:
......... be able to understand the concepts of remote sensing;
......... be familiar with ground, air, and satellite based sensor platforms;
......... Understand and use the language of image data to a professional standard in written reports;
......... be able to discuss with critical insight appropriate image processing techniques for specific purposes;
......... be able to apply knowledge of image processing principles strategically to new problems;
......... be able to operate PC-based visualization software effectively.
Lectures
and Materials
Lect.
Description
Labs
1.Background theory:
Lab
0: Installing and configuring ENVI
1.1Principles of satellite remote sensing.
Lab
1: The Basics of ENVI and the Nature of Digital Images
1.2Electromagnetic energy and remote sensing.
Lab
2:Exploring more tools of ENVI
2.Sensors and systems:
Lab
3: linkage two satellite imageries
2.1Sensors and platforms.
Lab
4: Exploring Multi-Spectral Imagery
2.2Aerial cameras and photography.
Lab
5:Digital Image Processing – I
2.3Multispectral scanners: Whiskbroom and Pushbroom
Lab
6: Digital Image Processing – II (Filter & enhancement)
3.Pre-processing corrections:
Lab
7: Digital Image Processing – III (Radiometric Correction)
3.1Radiometric.
Lab
8: Digital Image Processing – IV (Atmospheric Correction & NDVI
Landsat)
3.2Geometric correction.
Lab
8: Digital Image Processing – V (Geometric Correction)
4.Visualization and analysis:
Lab
10: Digital Image Processing – VI (Image Mosaicking Using ENVI)
4.1Image enhancement and visualization.
Lab
11: Image classifications - I
4.2Visual image interpretation.
Lab
12: Image classifications - II
4.3Digital image classification.
Lab
13: Vegetation coverage assessment
5.Application:
5.1Estimation of vegetation coverage.
Lab14: Vegetation Coverage Mapping
5.2Crop type mapping.
Lab
15: Crop Mapping
5.3Land cover/Land use.
Lab
16: Land cover/Land use classifications
5.4Trees mapping
Lab
17: Tree types classifications
Reading List and
References
Tempfli,
K., Huurneman, G. C., Bakker, W. H., Janssen, L. L. F., Feringa, W. F.,
Gieske, A. S. M., et al. (2009). Principles of remote sensing: An
introductory textbook (4th ed. Vol. 2). Enschede: ITC.
Liang, S. (2008). Advances in land remote sensing. New York: Springer.
Lillesand,
T. M., Kiefer, R. W., & Chipman, J. W. (2004). Remote sensing and
image interpretation (5th ed.). New York: Wiley.
Weng, Q. (2011). Advances in environmental remote sensing: sensors, algorithms, and applications. Boca Raton: CRC Press.