Exploring Sentinel-1 and Sentinel-2 time series sensitivity to rice height
Saygin Abdikan, Dessislava Ganeva, Zlatomir Dimitrov, Milen Chanev, Lachezar Filchev, Omer Gokberk Narin, A. Sekertekin, C. Bayik, Mustafa Ustuner, M. T. Esetlili, Yusuf Kurucu, Fusun Balik Sanli, None None
proceeding (Uluslararası, Hakemli) | Yazar(lar): Saygin Abdikan, Dessislava Ganeva, Zlatomir Dimitrov, Milen Chanev, Lachezar Filchev, Omer Gokberk Narin, A. Sekertekin, C. Bayik, Mustafa Ustuner, M. T. Esetlili, Yusuf Kurucu, Fusun Balik Sanli, None None | Yıl: 2024 | Dergi/Kurum: 2024 IEEE INTERNATIONAL WORKSHOP ON M
The rice plant is one of the most widely consumed crops globally, and its height is a key indicator of growth. This study explored the relationship between rice plant height, measured in situ in Bulgaria and Turkiye, and multi-temporal data from Sentinel-1 and Sentinel-2 satellites to develop models for height estimation. The strongest correlation was observed when integrating the Radar Vegetation Index (RVI) and the Normalized Difference Vegetation Index (NDVI), yielding a correlation coefficient of r = 0.69. Additionally, using VV polarization in a multi-linear regression analysis resulted in the lowest error rate, with a root mean square error (RMSE) of 14.14 cm. The findings suggest that combining synthetic aperture radar (SAR) and optical data holds significant potential for accurately estimating rice plant height.