Assessment of Spectral Indices for Detecting Rice Phenological Stages Using Long-Term In Situ Hyperspectral Observations and Sentinel-2 Data

Efficient and reliable estimation of rice phenological stages is crucial for improving yield prediction, optimizing irrigation, and guiding fertilization management. Spectral indices (SIs) derived from remote sensing have demonstrated strong potential for phenology detection. However, the suitabilit...

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Principais autores:	Md Manik Sarker, Yuki Mizuno, Keisuke Ono, Toshiyuki Kobayashi, Kenlo Nishida Nasahara
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-01-01
Series:	AgriEngineering
Assuntos:	rice phenology Sentinel-2 spectroradiometer spectral indices Phenological Eyes Network (PEN)
Acceso en liña:	https://www.mdpi.com/2624-7402/8/1/14
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