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Week
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Topics
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Study Metarials
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1
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Introduction to remote sensing and base
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R1-Introduction Section
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2
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Importance of remote sensing in forestry
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R1-Introduction Section
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3
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Components of remote sensing
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R1-Introduction Section
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4
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Resolution in remote sensing
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R1-Introduction Section
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5
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Remote sensing systems
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R1-Introduction Section
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6
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Digital image and characteristics
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R1-Introduction Section
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7
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Characteristics and some satellite images-1
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R1-Material and Method Section
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8
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Characteristics and some satellite images-2
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R1-Material and Method Section
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9
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Geometric corrections of satellite images
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R1-Method Section
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10
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Image classification on satellite images
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R1-Method Section
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11
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Classification accuracy assessment
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R1-Method Section
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12
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GIS and remote sensing
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R2-Introduction, Method and Results Section
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13
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The relationship between remote sensing
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R2-Introduction, Method and Results Section
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14
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Satellite images applications related to
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R1-Material, Method and Results Section
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Prerequisites
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None
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Language of Instruction
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Turkish
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Responsible
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Asst. Prof. Sinan BULUT
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Instructors
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1-)Doçent Dr. Sinan Bulut
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Assistants
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-
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Resources
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R1. Günlü, A., (2009). Yetişme ortamı envanterinin doğrudan, dolaylı ve uzaktan algılama yöntemleriyle belirlenmesi ve karşılaştrılması. Doktora Tezi, Karadeniz Teknik Üniversitesi, Fen Bilimleri Enstitüsü.
R2. Çakir G., Kadioğullari A.İ., Sönmez T., & Karahalil U. (2005, March). Orman ekosistem envanterinin uzaktan algılama ve coğrafi bilgi sistemleri ile gerçekleştirilmesi. 1. Çevre ve Ormancılk Şurası, Antalya, Türkiye.
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Supplementary Book
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-
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Goals
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To give information about remote sensing in forestry.
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Content
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Firstly, base concepts related to remote sensing will be explained in this
course. Then, common characteristics of some satellite images used in
remote sensing, pre-processing analyses relate to satellite images
(acquisition satellite data, geometric correction, subset of image?), image
classification and classification accuracy assessment, to integrate satellite
images and GIS methods will be explained. Finally, the applications of these
methods in a cases different satellite images and forest areas will be applied.
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Program Learning Outcomes |
Level of Contribution |
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1
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Must learn the methods of both improving the basic sciences and engineering knowledge and obtaining new knowledges at a level of expertise
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4
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2
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Must be able to design, develop, and apply methods and experiments at advanced level to solve forestry problems, and analyses and interpret their results
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3
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3
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Must be able to provide solutions for the country?s forestry and environmental problems by considering global, public and ecosystem conditions
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-
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4
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Must be able to setup interdisciplinary approach to reach an advanced solution for forestry problems
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4
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5
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Must be able to act in an advanced level of professional ethics and responsibility during the identification and resolution of problems encountered in forestry
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3
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6
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Must be able to do the task in a single or multi-disciplinary working groups, and be able to show effective communication
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-
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7
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Must have the ability to effective use of both information technologies and a foreign language at an advanced level
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3
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8
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Must be able to describe, foresee and solve the current problems in the fields of forestry and other related problems at advanced level brought by current global developments
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-
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9
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Must be able to use the tools and techniques required for forestry applications at an advanced level
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4
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10
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Must be able to think, interpret, analyse and synthesize forestry practices at an advanced level by using a three dimensional perspective
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-
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11
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Must be able to research and survey any kinds of natural resources and event, and write advanced reliable reports by using the achieved findings
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-
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12
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Must be able to understand the necessity of life-long learning at an advanced level, and to be able to use the methods that keeps obtained knowledge up date
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-
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