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  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Classification Techniques with Remote Sensing in Forests ORM646 FALL-SPRING 3+0 E 6
    Learning Outcomes
    1-Applies remote sensing classification techniques in forests
    2-Evaluates the success of the classification techniques
    3-Compares the success of various classification techniques
    Prerequisites -
    Language of Instruction Turkish
    Responsible Professor. Alkan GÜNLÜ
    Instructors -
    Assistants -
    Resources 1. Al-Ahmadi, F.S., ve Hames, A.S., 2009. Comparison of Four Classification Methods to Extract Land Use and Land Cover from Raw Satellite Images for Some Remote Arid Areas, Kingdom of Saudi Arabia. Earth Sci., 20(1), 167-191. 2. Günlü, A., 2012. Estimation of Certain Stand Type Parameters (Growth Stage and Crown Closure) and Land Cover using Landsat TM Satellite Image . Kastamonu Univ., Journal of Forestry Faculty, 12 (1): 71-79. 3. Bulut, S., ve Günlü, A., 2016. Comparison of Different Supervised Classification Algorithms for Land Use Classes. Kastamonu Univ., Journal of Forestry Faculty, 16 (2):528-535. 4. Salah, M., 2017. A survey of modern classification techniques in remote sensing for improved image classification. JournalofGeomatics, 11(1). 5. 1. Bulut, S., Günlü, A., ve Keleş, S., 2019. Estimation of Forest Development Stage and Crown Closure using Different Classification Methods and Satellite Images: A Case Study from Turkey. Journal of Forest Science, 65, 2019 (1): 18?26. 6. Xie, Z., Chen, Y., Lu, D., Li, G., ve Chen E., 2019. Classification of Land Cover, Forest, and Tree Species Classes with ZiYuan-3 Multispectral and Stereo Data. Remote Sensing, 11, 164.
    Supplementary Book -
    Goals Using different classification techniques related to different satellite images used in forestry studies and learning the success levels of these classification techniques.
    Content The use of different classification techniques for forestry studies and determination of their success.
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