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Course Information

Course Name
Turkish Doğal Kaynak Yönetiminde Uzaktan Algılama
English RemoteSen.for Ntrl Resour.Mng.
Course Code
JDF 340E Credit Lecture
Semester 6
3 3 - -
Course Language English
Course Coordinator Filiz Bektaş Balçık
Course Objectives 1. To provide the awareness for natural resource management, monitoring and conservation.
2. To explain the possibilities of remote sensing techniques for natural resource management.
3. To give an ability to work with different disciplines for natural resource management and
4. To provide the awareness of sustainable natural resource management and to give an ability for
effective projects design and application to solve the natural resource management problems.
Course Description What is natural resource management and why it is important? The way that follow to derive information from data, and the possibilities of remote sensing to derive thematic information for natural resource management; Forest, agriculture, water and wetlands, epidemiology, coastal zone, urban, biodiversity and wildlife studies by using remote sensing and GIS. The importance of ground truth data determination and selected methods. Application examples.
Course Outcomes Students who pass the course will be able to:
Be informed about natural resource management problems and the importance of working with different disciplines for effective solutions.
To have an idea about the role of remote sensing for sustainable natural resource management
Be informed about the national and international projects and applications
To have an idea about natural management problems all over the world and to make sure that to think how an important issue in 21 th century.
Required Facilities
Textbook Remote Sensing for Natural Resource Management and Environmental Monitoring- Edited by Susan L. Ustin/ Manual of Remote Sensing- Third Edition, Volume 4., published in cooperation by ASPRS- John Wiley&Sons,Inc. 2004
Other References Jensen, J R., 2000: Remote Sensing of the Environment: An Earth Resource Perspective, Upper Saddle River, NJ: Prentice Hall, 544 sayfa.
2. Liu, J. G. And Mason, P., 2009: Essential Image Processing and GIS for remote sensing, Wiley and Blackwell, 460 sayfa
3. Liang S., 2004: Quantitative Remote Sensing of Land Surfaces, John Wiley and Sons, New Jersey, USA.
1. Remote Sensing of Environment
2. Nature
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