Estimating leaf water potential of potato using band-optimized spectral indices

• Published in: Guanʻgai paishui xuebao Vol. 44; no. 3; pp. 1 - 11
• Main Authors: GAO Kai, YANG Haibo, YIN Hang, WANG Wei, SUN Yu, ZHAO Liang, LI Fei
• Format: Journal Article
• Language: Chinese
• Published: Science Press 01.03.2025
• Subjects: potato; leaf water potential; water index; band optimization; hyperspectral; growth stages
• ISSN: 1672-3317
• DOI: 10.13522/j.cnki.ggps.2024186

【Objective】Leaf water potential (LWP) is a key physiological trait reflecting plant responses to environmental conditions. However, large-scale field measurements remain challenging. This study explores the feasibility of using spectral imaging for indirect LWP estimation.【Method】A field experiment with a soil water gradient was conducted in a potato field in Wuchuan County and Chahar Right Front Banner, Inner Mongolia. Leaf spectral reflectance and water potential were measured at different growth stages. Moisture-sensitive spectral bands were analyzed, and the optimal combination of difference, ratio, and normalized difference spectral indices was identified within the 350-2 500 nm wavelength range. 【Result】The selection of optimal sensitive bands varied across growth stages and significantly impacted estimation accuracy. For individual growth stages, the most sensitive bands were primarily located in the red-edge and near-infrared regions, while for combined growth stages, the most effective bands were pre