Crop Classification with Gokturk-2 Time Series Imagery

Date

2016-05-19

Author

Teke, Mustafa
Çetin, Yasemin

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Monitoring of crops is an important need for feeding increasing population and ensure food security. Turkey has distinct regions in which various crops are grown. In this study, winter wheat, corn and cotton are classified in Harran Plains. Spectral Angle Mapper (SAM) and Dynamic Time Warping (DTW) methods are applied to nine Gokturk-2 time series imagery which resulted over 99% classification accuracy.

Subject Keywords

DTW, SAM, Crop classification, Time Series Analysis, Gokturk-2

URI

https://hdl.handle.net/11511/54302

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Graduate School of Informatics, Conference / Seminar

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Citation Formats

M. Teke and Y. Çetin, “Crop Classification with Gokturk-2 Time Series Imagery,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54302.