Crop Classification with Gokturk-2 Time Series Imagery


Teke M., ÇETİN Y.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.1553-1556 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.1553-1556

Abstract

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.