Exploring Sentinel-1 and Sentinel-2 Time Series Sensitivity to Rice Height
Bildiriler > Tam Metin Bildiri · 2024
Yazarlar: Saygın Abdikan, Dessislava Ganeva, Ömer Gökberk Narin, Aliihsan Şekertekin, Zlatomir Dimitrov, Çağlar Bayık, Milen Chanev, Mustafa Tolga ESETLİLİ, Lachezar Filchev, Mustafa Üstüner
2024 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), İtalya, Padua, Uluslararası, Sözlü Sunum, Tam Metin Bildiri, 2024-2024, Scopus, ss 672-676
DOI: 10.1109/metroagrifor63043.2024.10948853
Özet
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 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.