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

【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...

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Published inGuanʻgai 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
LanguageChinese
Published Science Press 01.03.2025
Subjects
potato; leaf water potential; water index; band optimization; hyperspectral; growth stages
Online AccessGet full text
ISSN1672-3317
DOI10.13522/j.cnki.ggps.2024186

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Abstract 【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
AbstractList 【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
Author YANG Haibo
WANG Wei
LI Fei
SUN Yu
GAO Kai
YIN Hang
ZHAO Liang
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  organization: 1. College of Resources and Environmental Sciences, Inner Mongolia Agricultural University, Huhhot 010011, China; 2. Inner Mongolia Key Laboratory of Soil Quality and Nutrient Resources/Key Laboratory of Agricultural Ecological Security and Green Development at Universities of Inner Mongolia Autonomous, Inner Mongolia Agricultural University, Huhhot 010011, China
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  organization: Ulanqab Institute of Agriculture and Forestry Sciences, Ulanqab 012000, China
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  fullname: SUN Yu
  organization: 1. College of Resources and Environmental Sciences, Inner Mongolia Agricultural University, Huhhot 010011, China; 2. Inner Mongolia Key Laboratory of Soil Quality and Nutrient Resources/Key Laboratory of Agricultural Ecological Security and Green Development at Universities of Inner Mongolia Autonomous, Inner Mongolia Agricultural University, Huhhot 010011, China
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  organization: 1. College of Resources and Environmental Sciences, Inner Mongolia Agricultural University, Huhhot 010011, China; 2. Inner Mongolia Key Laboratory of Soil Quality and Nutrient Resources/Key Laboratory of Agricultural Ecological Security and Green Development at Universities of Inner Mongolia Autonomous, Inner Mongolia Agricultural University, Huhhot 010011, China
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  fullname: LI Fei
  organization: 1. College of Resources and Environmental Sciences, Inner Mongolia Agricultural University, Huhhot 010011, China; 2. Inner Mongolia Key Laboratory of Soil Quality and Nutrient Resources/Key Laboratory of Agricultural Ecological Security and Green Development at Universities of Inner Mongolia Autonomous, Inner Mongolia Agricultural University, Huhhot 010011, China
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Snippet 【Objective】Leaf water potential (LWP) is a key physiological trait reflecting plant responses to environmental conditions. However, large-scale field...
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SubjectTerms potato; leaf water potential; water index; band optimization; hyperspectral; growth stages
Title Estimating leaf water potential of potato using band-optimized spectral indices
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