Abdikan, SaygınGaneva, DessislavaNarin, Ömer GökberkSekertekin, AliihsanDimitrov, ZlatomirBayık, ÇaglarChanev, MilenFilchev, LachezarÜstüner, MustafaEsetlili, Mustafa TolgaBalık Şanlı, FüsunKurucu, Yusuf2025-06-242025-06-242024979-835035544-4https://hdl.handle.net/11494/5613The 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 Türkiye, 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.eninfo:eu-repo/semantics/embargoedAccessCrop phenophasePaddy riceRemote sensingSentinel-1Sentinel-2Conference Object67267610.1109/MetroAgriFor63043.2024.109488532-s2.0-105003537318