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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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Professor Dr. Alkan GÜNLÜ
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Instructors
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1-)Profesör Dr. Alkan Günlü
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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. Günlü, A., & Ercanlı, İ. (2020). Artificial neural network models by alos palsar data for aboveground stand carbon predictions of pure beech stands: a case study from Northern
of Turkey. Geocarto International, 35, 17-28.
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Supplementary Book
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-
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Goals
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Due to the increasing developments in remote sensing technology in recent years, various features of remote sensing data have been presented to users. Especially the possibilities of using remote sensing data in forest inventory and the main active and passive sensing systems that should be considered in the selection of these data should be explained. In this context, it is aimed to give necessary information about where and how radar images obtained with active detection systems are used in forestry studies.
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Content
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First of all, information about radar images will be given and explanatory information will be given about the use of these images in forestry.
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