| 1 |
|
This course aims to acquaint students with the principles and foundations of remote sensing as one of the valuable techniques and provides information for entering other information processing systems. In this course, students are introduced to concepts that can be used to extract valuable information from satellite imagery using related techniques and use it for macro-level management decisions. |
| 2 |
|
The purpose of this course is to increase students' skills in extracting information from satellite sources and data and aerial photographs. These resources are very valuable because they provide the possibility of decision-making at the macro and regional levels, and especially students of agroecology in this field can use this technique well. |
| 3 |
|
The most important thing in this regard is to train students, so that they will use it very well during their employment. In this course, students will be introduced to the pure technique of working with satellite images, working with one of the main software for processing satellite images, and systematic and creative thinking. Their theoretical knowledge of a systematic view of ecosystems will increase and their skills in landscape-level studies will increase. |
| 4 |
|
Proficiency in extracting satellite data, pre-processing it, processing it, and finally using it in macro-level management decisions is the most important goal for students to learn this course. |
| 5 |
|
This course tries to acquaint students with the theoretical foundations of remote sensing, how to obtain information, how to process it, and finally how to visualize information to make the right decisions in the field of agricultural management. In a part of the topic of this course, which deals with the estimation of yield and field conditions, the practical principles of using remote sensing in agriculture are illustrated. This course is presented in theoretical viewpoints but will try to teach students computer skills as well. |
| 6 |
|
Campbell, James B., Wynne, Randolph H. 2011.Introduction to Remote Sensing, Fifth Edition.662 P.
Green, K., Congation, R.G., Tukman, M., 2017.Imagery and GIS: Best Practices for Extracting Information from Imagery Illustrated Edition. ESRI Press. |
| 7 |
|
Use of virtual university education system, related software and troubleshooting through webinars |
| 8 |
|
Mid-term and end-of-semester exam, class participation state, practice solution, educational discipline |
| 9 |
|
Pdf File |
| 10 |
|
In this course, students are required to learn general concepts and learn techniques for using this information. Students are required to use and obtain this information in each session as they become familiar with the new techniques while working with the functions required for this course. Students are expected to actively participate in all classes, class activities, and the exercises and assignments offered to them, and to be able to perform successfully in the final exam while actively attending classes. |